Security: OpenAuditLabs/agent

Security

SECURITY.md

Security Policy

OpenAuditLabs Agent Repository
Last Updated: July 2025


Table of Contents

  1. Security Overview
  2. Reporting Security Vulnerabilities
  3. Security Architecture
  4. AI Agent Security Framework
  5. Audit Process Security
  6. Container & Infrastructure Security
  7. Data Protection & Privacy
  8. Security Guidelines for Contributors
  9. Incident Response
  10. Compliance & Standards

Security Overview

OpenAuditLabs Agent is a sophisticated AI-powered smart contract auditing platform that leverages CrewAI, Slither, Mythril, and other security tools. Given the critical nature of smart contract security and the autonomous capabilities of AI agents, maintaining robust security practices is paramount to protecting both our system and our users' assets.

Core Security Principles

  • Defense in Depth: Multi-layered security approach across all system components
  • Zero Trust Architecture: Verify every interaction, never assume trust
  • Least Privilege: Minimal necessary permissions for all components
  • Transparency: Open security practices and clear audit trails
  • Continuous Monitoring: Real-time threat detection and response

Reporting Security Vulnerabilities

Vulnerability Disclosure Policy

We take security vulnerabilities seriously and appreciate responsible disclosure from the security research community.

How to Report

🚨 DO NOT report security vulnerabilities through public GitHub issues, discussions, or pull requests.

Instead, please email security vulnerabilities to: security@openauditlabs.com

Required Information

To help us validate and remediate issues quickly, please include:

  • Vulnerability Type: Clear classification (e.g., privilege escalation, injection, authentication bypass)
  • Affected Components: Specific file paths, endpoints, or system components
  • Reproduction Steps: Detailed step-by-step instructions with screenshots
  • Environment Details: Docker versions, OS, configuration requirements
  • Proof of Concept: Exploit code or demonstration (if available)
  • Impact Assessment: Potential consequences and attack scenarios
  • Suggested Remediation: Recommended fixes or mitigations

Our Response Process

  1. Acknowledgment: We will confirm receipt within 24 hours
  2. Initial Assessment: Vulnerability triage within 72 hours
  3. Validation: Reproduction and impact verification within 5 business days
  4. Remediation: Patch development and testing
  5. Disclosure: Coordinated public disclosure after fix deployment

Safe Harbor

If you make a good faith effort to comply with this policy during your security research, we will:

  • Consider your research authorized
  • Work with you to understand and resolve the issue quickly
  • Not pursue legal action related to your research
  • Recognize your contribution (with your permission)

Scope

In Scope:

  • All components in the OpenAuditLabs/agent repository
  • Docker containers and orchestration
  • API endpoints and authentication mechanisms
  • AI agent interactions and tool integrations
  • Database and data processing components

Out of Scope:

  • Social engineering attacks
  • Physical attacks on infrastructure
  • Third-party services and dependencies
  • DDoS attacks

Security Architecture

System Components

┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Web Client │ │ API Gateway │ │ AI Orchestrator│
│ (React/Next) │◄──►│ (FastAPI) │◄──►│ (CrewAI) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │
▼ ▼
┌──────────────────┐ ┌─────────────────┐
│ PostgreSQL │ │ Audit Tools │
│ (Encrypted) │ │ (Slither/Mythril)│
└──────────────────┘ └─────────────────┘

Security Boundaries

  1. External Boundary: WAF, rate limiting, DDoS protection
  2. API Boundary: Authentication, authorization, input validation
  3. Agent Boundary: Sandboxed execution, resource limits
  4. Data Boundary: Encryption, access controls, audit logging
  5. Tool Boundary: Isolated execution environments

AI Agent Security Framework

Agent Authorization & Authentication

All AI agents operate within a secure authentication framework:

Agent Security Model:
- Identity: Unique agent identifiers with cryptographic signatures
- Authorization: Role-based access control (RBAC) with minimal privileges
- Session Management: Time-bound tokens with automatic rotation
- Tool Access: Explicit permission grants for external tool usage

Agent Behavior Monitoring

  • Action Logging: All agent decisions and tool invocations logged
  • Anomaly Detection: Behavioral pattern analysis for suspicious activity
  • Resource Monitoring: CPU, memory, and network usage tracking
  • Output Validation: AI-generated content scanning and filtering

Prompt Injection Prevention

Following OWASP AI security guidelines:

  • Input Sanitization: Strict validation of all user inputs
  • Context Isolation: Separation of user data from system prompts
  • Output Filtering: Content scanning for malicious instructions
  • Privilege Boundaries: Agent capabilities strictly limited

Tool Integration Security

  • Sandboxed Execution: All security tools run in isolated containers
  • Command Validation: Whitelist approach for tool parameters
  • Result Verification: Output validation before processing
  • Access Controls: Fine-grained permissions for tool access

Audit Process Security

Secure Audit Pipeline

graph LR
A[Code Submission] --> B[Input Validation]
B --> C[Containerized Analysis]
C --> D[Multi-Tool Execution]
D --> E[Result Aggregation]
E --> F[AI Assessment]
F --> G[Report Generation]
G --> H[Encrypted Storage]
Loading

Code Handling Security

  • Isolation: Each audit runs in a separate container environment
  • Resource Limits: CPU, memory, and time constraints
  • Network Segmentation: No external network access during analysis
  • Data Sanitization: Automatic cleanup after audit completion

Audit Tool Security

Slither Security:

  • Updated vulnerability signatures
  • Sandboxed execution environment
  • Output sanitization and validation

Mythril Security:

  • Isolated symbolic execution
  • Resource consumption monitoring
  • Secure result parsing

Custom Tools:

  • Code review for all custom integrations
  • Security testing before deployment
  • Regular security updates

Report Integrity

  • Digital Signatures: All reports cryptographically signed
  • Immutable Storage: Blockchain-based audit trail
  • Access Logging: Complete chain of custody tracking
  • Version Control: Tamper-evident report versioning

Container & Infrastructure Security

Docker Security

Following Docker security best practices:

# Security-hardened base imagesFROM debian:12-slim as base
RUN apt-get update && apt-get upgrade -y
# Non-root user executionRUN groupadd -r appuser && useradd -r -g appuser appuser
USER appuser
# Resource limits and security options
SECURITY_OPT: ["no-new-privileges:true"]
CAP_DROP: ["ALL"]
CAP_ADD: ["CHOWN", "SETGID", "SETUID"]

Container Scanning

  • Vulnerability Scanning: Trivy and Clair integration
  • Base Image Updates: Automated security patches
  • Configuration Hardening: CIS Docker Benchmark compliance
  • Runtime Security: Falco monitoring for suspicious activity

Infrastructure Security

Network Security:

  • VPC isolation with private subnets
  • WAF protection for public endpoints
  • Service mesh for internal communication
  • Network segmentation between components

Secrets Management:

  • HashiCorp Vault integration
  • Encrypted environment variables
  • Automatic secret rotation
  • No secrets in container images

Monitoring & Logging:

  • Centralized logging with ELK stack
  • Security event correlation
  • Real-time alerting system
  • Compliance audit trails

Data Protection & Privacy

Data Classification

ClassificationDescriptionSecurity Measures
PublicMarketing content, documentationStandard web security
InternalSystem logs, performance metricsAccess controls, encryption in transit
ConfidentialUser contracts, audit reportsEncryption at rest/transit, access logging
RestrictedPrivate keys, secretsHardware security modules, strict access

Encryption Standards

  • In Transit: TLS 1.3 for all communications
  • At Rest: AES-256 encryption for sensitive data
  • Key Management: Hardware security modules (HSM)
  • Database: Transparent data encryption (TDE)

Privacy Protection

  • Data Minimization: Collect only necessary information
  • Purpose Limitation: Data used only for stated purposes
  • Retention Policies: Automatic data purging schedules
  • User Rights: Data access, correction, and deletion capabilities

Security Guidelines for Contributors

Secure Development Practices

Code Security

# Input validation exampledefvalidate_contract_input(contract_code: str) ->bool:
"""Validate smart contract input with strict sanitization."""ifnotcontract_codeorlen(contract_code) >MAX_CONTRACT_SIZE:
returnFalse# Check for malicious patternsforbidden_patterns= [
r'eval\s*\(',
r'exec\s*\(',
r'import\s+os',
r'subprocess\.'
]
forpatterninforbidden_patterns:
ifre.search(pattern, contract_code):
returnFalsereturnTrue

Security Testing Requirements

  • Static Analysis: Pre-commit hooks with Bandit and Semgrep
  • Dependency Scanning: Automated vulnerability checks
  • Container Scanning: Image security validation
  • Integration Tests: Security-focused test scenarios

Pre-commit Security Hooks

# .pre-commit-config.yaml security hooksrepos:
- repo: https://github.com/PyCQA/banditrev: 1.7.5hooks:
- id: banditargs: ['-r', 'src/']
- repo: https://github.com/hadolint/hadolintrev: v2.12.0hooks:
- id: hadolint-docker

Secret Management

Never commit secrets to version control:

# Use environment variables
POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
REDIS_URL=${REDIS_URL}
API_SECRET_KEY=${API_SECRET_KEY}# Use .env files (git ignored)echo"*.env">> .gitignore
echo"secrets/">> .gitignore

Secure Configuration

Database Configuration:

DATABASE_CONFIG= {
'encrypt': True,
'ssl_mode': 'require',
'connection_timeout': 30,
'max_connections': 100,
'pool_pre_ping': True
}

API Security Configuration:

SECURITY_CONFIG= {
'rate_limit': '100/minute',
'jwt_secret_key': os.getenv('JWT_SECRET_KEY'),
'session_timeout': 3600,
'password_hash_rounds': 12
}

Incident Response

Security Incident Classification

SeverityDefinitionResponse TimeEscalation
CriticalActive exploitation, data breach< 1 hourExecutive team
HighVulnerability with high impact< 4 hoursSecurity team lead
MediumPotential security weakness< 24 hoursDevelopment team
LowMinor security concern< 72 hoursMaintainer review

Response Procedures

Immediate Response (First 1-4 hours)

  1. Contain: Isolate affected systems
  2. Assess: Determine scope and impact
  3. Communicate: Notify stakeholders
  4. Document: Begin incident log

Investigation Phase (First 24-48 hours)

  1. Evidence Collection: Preserve logs and artifacts
  2. Root Cause Analysis: Identify vulnerability source
  3. Impact Assessment: Determine data/system compromise
  4. Patch Development: Begin remediation work

Recovery Phase (48+ hours)

  1. Patch Deployment: Apply security fixes
  2. System Restoration: Return to normal operations
  3. Monitoring: Enhanced surveillance post-incident
  4. Post-Incident Review: Lessons learned documentation

Emergency Contacts


Compliance & Standards

Security Frameworks

We align with industry-standard security frameworks:

  • NIST Cybersecurity Framework: Core security practices
  • OWASP AI Security Guidelines: AI-specific security measures
  • ISO 27001: Information security management
  • SOC 2 Type II: Service organization controls

Smart Contract Security Standards

  • ConsenSys Diligence: Audit methodology alignment
  • Trail of Bits: Security assessment practices
  • OpenZeppelin: Secure development patterns
  • OWASP Smart Contract Security: Best practices adoption

Regular Security Assessments

  • Quarterly: Internal security reviews
  • Bi-annually: Third-party penetration testing
  • Annually: Comprehensive security audits
  • Continuous: Automated vulnerability scanning

Audit Trail Requirements

All security-relevant events must be logged with:

  • Timestamp (UTC)
  • Actor identification
  • Action performed
  • Resource affected
  • Result/outcome
  • Source IP address

Security Contact Information

For security-related inquiries and reports:


Acknowledgments

We thank the security research community for their contributions to making OpenAuditLabs Agent more secure. Responsible disclosure helps protect our users and the broader smart contract ecosystem.

Hall of Fame

Contributors who have responsibly disclosed vulnerabilities will be listed here with their permission.


Note: This security policy is reviewed and updated regularly. Please check back for the latest version. Last updated: January 2025.


This document is licensed under the same terms as the OpenAuditLabs/agent repository.

There aren't any published security advisories

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Security: OpenAuditLabs/agent

Security

SECURITY.md

Security Policy

OpenAuditLabs Agent Repository
Last Updated: July 2025


Table of Contents

  1. Security Overview
  2. Reporting Security Vulnerabilities
  3. Security Architecture
  4. AI Agent Security Framework
  5. Audit Process Security
  6. Container & Infrastructure Security
  7. Data Protection & Privacy
  8. Security Guidelines for Contributors
  9. Incident Response
  10. Compliance & Standards

Security Overview

OpenAuditLabs Agent is a sophisticated AI-powered smart contract auditing platform that leverages CrewAI, Slither, Mythril, and other security tools. Given the critical nature of smart contract security and the autonomous capabilities of AI agents, maintaining robust security practices is paramount to protecting both our system and our users' assets.

Core Security Principles

  • Defense in Depth: Multi-layered security approach across all system components
  • Zero Trust Architecture: Verify every interaction, never assume trust
  • Least Privilege: Minimal necessary permissions for all components
  • Transparency: Open security practices and clear audit trails
  • Continuous Monitoring: Real-time threat detection and response

Reporting Security Vulnerabilities

Vulnerability Disclosure Policy

We take security vulnerabilities seriously and appreciate responsible disclosure from the security research community.

How to Report

🚨 DO NOT report security vulnerabilities through public GitHub issues, discussions, or pull requests.

Instead, please email security vulnerabilities to: security@openauditlabs.com

Required Information

To help us validate and remediate issues quickly, please include:

  • Vulnerability Type: Clear classification (e.g., privilege escalation, injection, authentication bypass)
  • Affected Components: Specific file paths, endpoints, or system components
  • Reproduction Steps: Detailed step-by-step instructions with screenshots
  • Environment Details: Docker versions, OS, configuration requirements
  • Proof of Concept: Exploit code or demonstration (if available)
  • Impact Assessment: Potential consequences and attack scenarios
  • Suggested Remediation: Recommended fixes or mitigations

Our Response Process

  1. Acknowledgment: We will confirm receipt within 24 hours
  2. Initial Assessment: Vulnerability triage within 72 hours
  3. Validation: Reproduction and impact verification within 5 business days
  4. Remediation: Patch development and testing
  5. Disclosure: Coordinated public disclosure after fix deployment

Safe Harbor

If you make a good faith effort to comply with this policy during your security research, we will:

  • Consider your research authorized
  • Work with you to understand and resolve the issue quickly
  • Not pursue legal action related to your research
  • Recognize your contribution (with your permission)

Scope

In Scope:

  • All components in the OpenAuditLabs/agent repository
  • Docker containers and orchestration
  • API endpoints and authentication mechanisms
  • AI agent interactions and tool integrations
  • Database and data processing components

Out of Scope:

  • Social engineering attacks
  • Physical attacks on infrastructure
  • Third-party services and dependencies
  • DDoS attacks

Security Architecture

System Components

┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Web Client │ │ API Gateway │ │ AI Orchestrator│
│ (React/Next) │◄──►│ (FastAPI) │◄──►│ (CrewAI) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │
▼ ▼
┌──────────────────┐ ┌─────────────────┐
│ PostgreSQL │ │ Audit Tools │
│ (Encrypted) │ │ (Slither/Mythril)│
└──────────────────┘ └─────────────────┘

Security Boundaries

  1. External Boundary: WAF, rate limiting, DDoS protection
  2. API Boundary: Authentication, authorization, input validation
  3. Agent Boundary: Sandboxed execution, resource limits
  4. Data Boundary: Encryption, access controls, audit logging
  5. Tool Boundary: Isolated execution environments

AI Agent Security Framework

Agent Authorization & Authentication

All AI agents operate within a secure authentication framework:

Agent Security Model:
- Identity: Unique agent identifiers with cryptographic signatures
- Authorization: Role-based access control (RBAC) with minimal privileges
- Session Management: Time-bound tokens with automatic rotation
- Tool Access: Explicit permission grants for external tool usage

Agent Behavior Monitoring

  • Action Logging: All agent decisions and tool invocations logged
  • Anomaly Detection: Behavioral pattern analysis for suspicious activity
  • Resource Monitoring: CPU, memory, and network usage tracking
  • Output Validation: AI-generated content scanning and filtering

Prompt Injection Prevention

Following OWASP AI security guidelines:

  • Input Sanitization: Strict validation of all user inputs
  • Context Isolation: Separation of user data from system prompts
  • Output Filtering: Content scanning for malicious instructions
  • Privilege Boundaries: Agent capabilities strictly limited

Tool Integration Security

  • Sandboxed Execution: All security tools run in isolated containers
  • Command Validation: Whitelist approach for tool parameters
  • Result Verification: Output validation before processing
  • Access Controls: Fine-grained permissions for tool access

Audit Process Security

Secure Audit Pipeline

graph LR
A[Code Submission] --> B[Input Validation]
B --> C[Containerized Analysis]
C --> D[Multi-Tool Execution]
D --> E[Result Aggregation]
E --> F[AI Assessment]
F --> G[Report Generation]
G --> H[Encrypted Storage]
Loading

Code Handling Security

  • Isolation: Each audit runs in a separate container environment
  • Resource Limits: CPU, memory, and time constraints
  • Network Segmentation: No external network access during analysis
  • Data Sanitization: Automatic cleanup after audit completion

Audit Tool Security

Slither Security:

  • Updated vulnerability signatures
  • Sandboxed execution environment
  • Output sanitization and validation

Mythril Security:

  • Isolated symbolic execution
  • Resource consumption monitoring
  • Secure result parsing

Custom Tools:

  • Code review for all custom integrations
  • Security testing before deployment
  • Regular security updates

Report Integrity

  • Digital Signatures: All reports cryptographically signed
  • Immutable Storage: Blockchain-based audit trail
  • Access Logging: Complete chain of custody tracking
  • Version Control: Tamper-evident report versioning

Container & Infrastructure Security

Docker Security

Following Docker security best practices:

# Security-hardened base imagesFROM debian:12-slim as base
RUN apt-get update && apt-get upgrade -y
# Non-root user executionRUN groupadd -r appuser && useradd -r -g appuser appuser
USER appuser
# Resource limits and security options
SECURITY_OPT: ["no-new-privileges:true"]
CAP_DROP: ["ALL"]
CAP_ADD: ["CHOWN", "SETGID", "SETUID"]

Container Scanning

  • Vulnerability Scanning: Trivy and Clair integration
  • Base Image Updates: Automated security patches
  • Configuration Hardening: CIS Docker Benchmark compliance
  • Runtime Security: Falco monitoring for suspicious activity

Infrastructure Security

Network Security:

  • VPC isolation with private subnets
  • WAF protection for public endpoints
  • Service mesh for internal communication
  • Network segmentation between components

Secrets Management:

  • HashiCorp Vault integration
  • Encrypted environment variables
  • Automatic secret rotation
  • No secrets in container images

Monitoring & Logging:

  • Centralized logging with ELK stack
  • Security event correlation
  • Real-time alerting system
  • Compliance audit trails

Data Protection & Privacy

Data Classification

ClassificationDescriptionSecurity Measures
PublicMarketing content, documentationStandard web security
InternalSystem logs, performance metricsAccess controls, encryption in transit
ConfidentialUser contracts, audit reportsEncryption at rest/transit, access logging
RestrictedPrivate keys, secretsHardware security modules, strict access

Encryption Standards

  • In Transit: TLS 1.3 for all communications
  • At Rest: AES-256 encryption for sensitive data
  • Key Management: Hardware security modules (HSM)
  • Database: Transparent data encryption (TDE)

Privacy Protection

  • Data Minimization: Collect only necessary information
  • Purpose Limitation: Data used only for stated purposes
  • Retention Policies: Automatic data purging schedules
  • User Rights: Data access, correction, and deletion capabilities

Security Guidelines for Contributors

Secure Development Practices

Code Security

# Input validation exampledefvalidate_contract_input(contract_code: str) ->bool:
"""Validate smart contract input with strict sanitization."""ifnotcontract_codeorlen(contract_code) >MAX_CONTRACT_SIZE:
returnFalse# Check for malicious patternsforbidden_patterns= [
r'eval\s*\(',
r'exec\s*\(',
r'import\s+os',
r'subprocess\.'
]
forpatterninforbidden_patterns:
ifre.search(pattern, contract_code):
returnFalsereturnTrue

Security Testing Requirements

  • Static Analysis: Pre-commit hooks with Bandit and Semgrep
  • Dependency Scanning: Automated vulnerability checks
  • Container Scanning: Image security validation
  • Integration Tests: Security-focused test scenarios

Pre-commit Security Hooks

# .pre-commit-config.yaml security hooksrepos:
- repo: https://github.com/PyCQA/banditrev: 1.7.5hooks:
- id: banditargs: ['-r', 'src/']
- repo: https://github.com/hadolint/hadolintrev: v2.12.0hooks:
- id: hadolint-docker

Secret Management

Never commit secrets to version control:

# Use environment variables
POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
REDIS_URL=${REDIS_URL}
API_SECRET_KEY=${API_SECRET_KEY}# Use .env files (git ignored)echo"*.env">> .gitignore
echo"secrets/">> .gitignore

Secure Configuration

Database Configuration:

DATABASE_CONFIG= {
'encrypt': True,
'ssl_mode': 'require',
'connection_timeout': 30,
'max_connections': 100,
'pool_pre_ping': True
}

API Security Configuration:

SECURITY_CONFIG= {
'rate_limit': '100/minute',
'jwt_secret_key': os.getenv('JWT_SECRET_KEY'),
'session_timeout': 3600,
'password_hash_rounds': 12
}

Incident Response

Security Incident Classification

SeverityDefinitionResponse TimeEscalation
CriticalActive exploitation, data breach< 1 hourExecutive team
HighVulnerability with high impact< 4 hoursSecurity team lead
MediumPotential security weakness< 24 hoursDevelopment team
LowMinor security concern< 72 hoursMaintainer review

Response Procedures

Immediate Response (First 1-4 hours)

  1. Contain: Isolate affected systems
  2. Assess: Determine scope and impact
  3. Communicate: Notify stakeholders
  4. Document: Begin incident log

Investigation Phase (First 24-48 hours)

  1. Evidence Collection: Preserve logs and artifacts
  2. Root Cause Analysis: Identify vulnerability source
  3. Impact Assessment: Determine data/system compromise
  4. Patch Development: Begin remediation work

Recovery Phase (48+ hours)

  1. Patch Deployment: Apply security fixes
  2. System Restoration: Return to normal operations
  3. Monitoring: Enhanced surveillance post-incident
  4. Post-Incident Review: Lessons learned documentation

Emergency Contacts


Compliance & Standards

Security Frameworks

We align with industry-standard security frameworks:

  • NIST Cybersecurity Framework: Core security practices
  • OWASP AI Security Guidelines: AI-specific security measures
  • ISO 27001: Information security management
  • SOC 2 Type II: Service organization controls

Smart Contract Security Standards

  • ConsenSys Diligence: Audit methodology alignment
  • Trail of Bits: Security assessment practices
  • OpenZeppelin: Secure development patterns
  • OWASP Smart Contract Security: Best practices adoption

Regular Security Assessments

  • Quarterly: Internal security reviews
  • Bi-annually: Third-party penetration testing
  • Annually: Comprehensive security audits
  • Continuous: Automated vulnerability scanning

Audit Trail Requirements

All security-relevant events must be logged with:

  • Timestamp (UTC)
  • Actor identification
  • Action performed
  • Resource affected
  • Result/outcome
  • Source IP address

Security Contact Information

For security-related inquiries and reports:


Acknowledgments

We thank the security research community for their contributions to making OpenAuditLabs Agent more secure. Responsible disclosure helps protect our users and the broader smart contract ecosystem.

Hall of Fame

Contributors who have responsibly disclosed vulnerabilities will be listed here with their permission.


Note: This security policy is reviewed and updated regularly. Please check back for the latest version. Last updated: January 2025.


This document is licensed under the same terms as the OpenAuditLabs/agent repository.

There aren't any published security advisories

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Security: OpenAuditLabs/agent

Security

SECURITY.md

Security Policy

OpenAuditLabs Agent Repository
Last Updated: July 2025


Table of Contents

  1. Security Overview
  2. Reporting Security Vulnerabilities
  3. Security Architecture
  4. AI Agent Security Framework
  5. Audit Process Security
  6. Container & Infrastructure Security
  7. Data Protection & Privacy
  8. Security Guidelines for Contributors
  9. Incident Response
  10. Compliance & Standards

Security Overview

OpenAuditLabs Agent is a sophisticated AI-powered smart contract auditing platform that leverages CrewAI, Slither, Mythril, and other security tools. Given the critical nature of smart contract security and the autonomous capabilities of AI agents, maintaining robust security practices is paramount to protecting both our system and our users' assets.

Core Security Principles

  • Defense in Depth: Multi-layered security approach across all system components
  • Zero Trust Architecture: Verify every interaction, never assume trust
  • Least Privilege: Minimal necessary permissions for all components
  • Transparency: Open security practices and clear audit trails
  • Continuous Monitoring: Real-time threat detection and response

Reporting Security Vulnerabilities

Vulnerability Disclosure Policy

We take security vulnerabilities seriously and appreciate responsible disclosure from the security research community.

How to Report

🚨 DO NOT report security vulnerabilities through public GitHub issues, discussions, or pull requests.

Instead, please email security vulnerabilities to: security@openauditlabs.com

Required Information

To help us validate and remediate issues quickly, please include:

  • Vulnerability Type: Clear classification (e.g., privilege escalation, injection, authentication bypass)
  • Affected Components: Specific file paths, endpoints, or system components
  • Reproduction Steps: Detailed step-by-step instructions with screenshots
  • Environment Details: Docker versions, OS, configuration requirements
  • Proof of Concept: Exploit code or demonstration (if available)
  • Impact Assessment: Potential consequences and attack scenarios
  • Suggested Remediation: Recommended fixes or mitigations

Our Response Process

  1. Acknowledgment: We will confirm receipt within 24 hours
  2. Initial Assessment: Vulnerability triage within 72 hours
  3. Validation: Reproduction and impact verification within 5 business days
  4. Remediation: Patch development and testing
  5. Disclosure: Coordinated public disclosure after fix deployment

Safe Harbor

If you make a good faith effort to comply with this policy during your security research, we will:

  • Consider your research authorized
  • Work with you to understand and resolve the issue quickly
  • Not pursue legal action related to your research
  • Recognize your contribution (with your permission)

Scope

In Scope:

  • All components in the OpenAuditLabs/agent repository
  • Docker containers and orchestration
  • API endpoints and authentication mechanisms
  • AI agent interactions and tool integrations
  • Database and data processing components

Out of Scope:

  • Social engineering attacks
  • Physical attacks on infrastructure
  • Third-party services and dependencies
  • DDoS attacks

Security Architecture

System Components

┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Web Client │ │ API Gateway │ │ AI Orchestrator│
│ (React/Next) │◄──►│ (FastAPI) │◄──►│ (CrewAI) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │
▼ ▼
┌──────────────────┐ ┌─────────────────┐
│ PostgreSQL │ │ Audit Tools │
│ (Encrypted) │ │ (Slither/Mythril)│
└──────────────────┘ └─────────────────┘

Security Boundaries

  1. External Boundary: WAF, rate limiting, DDoS protection
  2. API Boundary: Authentication, authorization, input validation
  3. Agent Boundary: Sandboxed execution, resource limits
  4. Data Boundary: Encryption, access controls, audit logging
  5. Tool Boundary: Isolated execution environments

AI Agent Security Framework

Agent Authorization & Authentication

All AI agents operate within a secure authentication framework:

Agent Security Model:
- Identity: Unique agent identifiers with cryptographic signatures
- Authorization: Role-based access control (RBAC) with minimal privileges
- Session Management: Time-bound tokens with automatic rotation
- Tool Access: Explicit permission grants for external tool usage

Agent Behavior Monitoring

  • Action Logging: All agent decisions and tool invocations logged
  • Anomaly Detection: Behavioral pattern analysis for suspicious activity
  • Resource Monitoring: CPU, memory, and network usage tracking
  • Output Validation: AI-generated content scanning and filtering

Prompt Injection Prevention

Following OWASP AI security guidelines:

  • Input Sanitization: Strict validation of all user inputs
  • Context Isolation: Separation of user data from system prompts
  • Output Filtering: Content scanning for malicious instructions
  • Privilege Boundaries: Agent capabilities strictly limited

Tool Integration Security

  • Sandboxed Execution: All security tools run in isolated containers
  • Command Validation: Whitelist approach for tool parameters
  • Result Verification: Output validation before processing
  • Access Controls: Fine-grained permissions for tool access

Audit Process Security

Secure Audit Pipeline

graph LR
A[Code Submission] --> B[Input Validation]
B --> C[Containerized Analysis]
C --> D[Multi-Tool Execution]
D --> E[Result Aggregation]
E --> F[AI Assessment]
F --> G[Report Generation]
G --> H[Encrypted Storage]
Loading

Code Handling Security

  • Isolation: Each audit runs in a separate container environment
  • Resource Limits: CPU, memory, and time constraints
  • Network Segmentation: No external network access during analysis
  • Data Sanitization: Automatic cleanup after audit completion

Audit Tool Security

Slither Security:

  • Updated vulnerability signatures
  • Sandboxed execution environment
  • Output sanitization and validation

Mythril Security:

  • Isolated symbolic execution
  • Resource consumption monitoring
  • Secure result parsing

Custom Tools:

  • Code review for all custom integrations
  • Security testing before deployment
  • Regular security updates

Report Integrity

  • Digital Signatures: All reports cryptographically signed
  • Immutable Storage: Blockchain-based audit trail
  • Access Logging: Complete chain of custody tracking
  • Version Control: Tamper-evident report versioning

Container & Infrastructure Security

Docker Security

Following Docker security best practices:

# Security-hardened base imagesFROM debian:12-slim as base
RUN apt-get update && apt-get upgrade -y
# Non-root user executionRUN groupadd -r appuser && useradd -r -g appuser appuser
USER appuser
# Resource limits and security options
SECURITY_OPT: ["no-new-privileges:true"]
CAP_DROP: ["ALL"]
CAP_ADD: ["CHOWN", "SETGID", "SETUID"]

Container Scanning

  • Vulnerability Scanning: Trivy and Clair integration
  • Base Image Updates: Automated security patches
  • Configuration Hardening: CIS Docker Benchmark compliance
  • Runtime Security: Falco monitoring for suspicious activity

Infrastructure Security

Network Security:

  • VPC isolation with private subnets
  • WAF protection for public endpoints
  • Service mesh for internal communication
  • Network segmentation between components

Secrets Management:

  • HashiCorp Vault integration
  • Encrypted environment variables
  • Automatic secret rotation
  • No secrets in container images

Monitoring & Logging:

  • Centralized logging with ELK stack
  • Security event correlation
  • Real-time alerting system
  • Compliance audit trails

Data Protection & Privacy

Data Classification

ClassificationDescriptionSecurity Measures
PublicMarketing content, documentationStandard web security
InternalSystem logs, performance metricsAccess controls, encryption in transit
ConfidentialUser contracts, audit reportsEncryption at rest/transit, access logging
RestrictedPrivate keys, secretsHardware security modules, strict access

Encryption Standards

  • In Transit: TLS 1.3 for all communications
  • At Rest: AES-256 encryption for sensitive data
  • Key Management: Hardware security modules (HSM)
  • Database: Transparent data encryption (TDE)

Privacy Protection

  • Data Minimization: Collect only necessary information
  • Purpose Limitation: Data used only for stated purposes
  • Retention Policies: Automatic data purging schedules
  • User Rights: Data access, correction, and deletion capabilities

Security Guidelines for Contributors

Secure Development Practices

Code Security

# Input validation exampledefvalidate_contract_input(contract_code: str) ->bool:
"""Validate smart contract input with strict sanitization."""ifnotcontract_codeorlen(contract_code) >MAX_CONTRACT_SIZE:
returnFalse# Check for malicious patternsforbidden_patterns= [
r'eval\s*\(',
r'exec\s*\(',
r'import\s+os',
r'subprocess\.'
]
forpatterninforbidden_patterns:
ifre.search(pattern, contract_code):
returnFalsereturnTrue

Security Testing Requirements

  • Static Analysis: Pre-commit hooks with Bandit and Semgrep
  • Dependency Scanning: Automated vulnerability checks
  • Container Scanning: Image security validation
  • Integration Tests: Security-focused test scenarios

Pre-commit Security Hooks

# .pre-commit-config.yaml security hooksrepos:
- repo: https://github.com/PyCQA/banditrev: 1.7.5hooks:
- id: banditargs: ['-r', 'src/']
- repo: https://github.com/hadolint/hadolintrev: v2.12.0hooks:
- id: hadolint-docker

Secret Management

Never commit secrets to version control:

# Use environment variables
POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
REDIS_URL=${REDIS_URL}
API_SECRET_KEY=${API_SECRET_KEY}# Use .env files (git ignored)echo"*.env">> .gitignore
echo"secrets/">> .gitignore

Secure Configuration

Database Configuration:

DATABASE_CONFIG= {
'encrypt': True,
'ssl_mode': 'require',
'connection_timeout': 30,
'max_connections': 100,
'pool_pre_ping': True
}

API Security Configuration:

SECURITY_CONFIG= {
'rate_limit': '100/minute',
'jwt_secret_key': os.getenv('JWT_SECRET_KEY'),
'session_timeout': 3600,
'password_hash_rounds': 12
}

Incident Response

Security Incident Classification

SeverityDefinitionResponse TimeEscalation
CriticalActive exploitation, data breach< 1 hourExecutive team
HighVulnerability with high impact< 4 hoursSecurity team lead
MediumPotential security weakness< 24 hoursDevelopment team
LowMinor security concern< 72 hoursMaintainer review

Response Procedures

Immediate Response (First 1-4 hours)

  1. Contain: Isolate affected systems
  2. Assess: Determine scope and impact
  3. Communicate: Notify stakeholders
  4. Document: Begin incident log

Investigation Phase (First 24-48 hours)

  1. Evidence Collection: Preserve logs and artifacts
  2. Root Cause Analysis: Identify vulnerability source
  3. Impact Assessment: Determine data/system compromise
  4. Patch Development: Begin remediation work

Recovery Phase (48+ hours)

  1. Patch Deployment: Apply security fixes
  2. System Restoration: Return to normal operations
  3. Monitoring: Enhanced surveillance post-incident
  4. Post-Incident Review: Lessons learned documentation

Emergency Contacts


Compliance & Standards

Security Frameworks

We align with industry-standard security frameworks:

  • NIST Cybersecurity Framework: Core security practices
  • OWASP AI Security Guidelines: AI-specific security measures
  • ISO 27001: Information security management
  • SOC 2 Type II: Service organization controls

Smart Contract Security Standards

  • ConsenSys Diligence: Audit methodology alignment
  • Trail of Bits: Security assessment practices
  • OpenZeppelin: Secure development patterns
  • OWASP Smart Contract Security: Best practices adoption

Regular Security Assessments

  • Quarterly: Internal security reviews
  • Bi-annually: Third-party penetration testing
  • Annually: Comprehensive security audits
  • Continuous: Automated vulnerability scanning

Audit Trail Requirements

All security-relevant events must be logged with:

  • Timestamp (UTC)
  • Actor identification
  • Action performed
  • Resource affected
  • Result/outcome
  • Source IP address

Security Contact Information

For security-related inquiries and reports:


Acknowledgments

We thank the security research community for their contributions to making OpenAuditLabs Agent more secure. Responsible disclosure helps protect our users and the broader smart contract ecosystem.

Hall of Fame

Contributors who have responsibly disclosed vulnerabilities will be listed here with their permission.


Note: This security policy is reviewed and updated regularly. Please check back for the latest version. Last updated: January 2025.


This document is licensed under the same terms as the OpenAuditLabs/agent repository.

There aren't any published security advisories

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Security: OpenAuditLabs/agent

Security

SECURITY.md

Security Policy

OpenAuditLabs Agent Repository
Last Updated: July 2025


Table of Contents

  1. Security Overview
  2. Reporting Security Vulnerabilities
  3. Security Architecture
  4. AI Agent Security Framework
  5. Audit Process Security
  6. Container & Infrastructure Security
  7. Data Protection & Privacy
  8. Security Guidelines for Contributors
  9. Incident Response
  10. Compliance & Standards

Security Overview

OpenAuditLabs Agent is a sophisticated AI-powered smart contract auditing platform that leverages CrewAI, Slither, Mythril, and other security tools. Given the critical nature of smart contract security and the autonomous capabilities of AI agents, maintaining robust security practices is paramount to protecting both our system and our users' assets.

Core Security Principles

  • Defense in Depth: Multi-layered security approach across all system components
  • Zero Trust Architecture: Verify every interaction, never assume trust
  • Least Privilege: Minimal necessary permissions for all components
  • Transparency: Open security practices and clear audit trails
  • Continuous Monitoring: Real-time threat detection and response

Reporting Security Vulnerabilities

Vulnerability Disclosure Policy

We take security vulnerabilities seriously and appreciate responsible disclosure from the security research community.

How to Report

🚨 DO NOT report security vulnerabilities through public GitHub issues, discussions, or pull requests.

Instead, please email security vulnerabilities to: security@openauditlabs.com

Required Information

To help us validate and remediate issues quickly, please include:

  • Vulnerability Type: Clear classification (e.g., privilege escalation, injection, authentication bypass)
  • Affected Components: Specific file paths, endpoints, or system components
  • Reproduction Steps: Detailed step-by-step instructions with screenshots
  • Environment Details: Docker versions, OS, configuration requirements
  • Proof of Concept: Exploit code or demonstration (if available)
  • Impact Assessment: Potential consequences and attack scenarios
  • Suggested Remediation: Recommended fixes or mitigations

Our Response Process

  1. Acknowledgment: We will confirm receipt within 24 hours
  2. Initial Assessment: Vulnerability triage within 72 hours
  3. Validation: Reproduction and impact verification within 5 business days
  4. Remediation: Patch development and testing
  5. Disclosure: Coordinated public disclosure after fix deployment

Safe Harbor

If you make a good faith effort to comply with this policy during your security research, we will:

  • Consider your research authorized
  • Work with you to understand and resolve the issue quickly
  • Not pursue legal action related to your research
  • Recognize your contribution (with your permission)

Scope

In Scope:

  • All components in the OpenAuditLabs/agent repository
  • Docker containers and orchestration
  • API endpoints and authentication mechanisms
  • AI agent interactions and tool integrations
  • Database and data processing components

Out of Scope:

  • Social engineering attacks
  • Physical attacks on infrastructure
  • Third-party services and dependencies
  • DDoS attacks

Security Architecture

System Components

┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Web Client │ │ API Gateway │ │ AI Orchestrator│
│ (React/Next) │◄──►│ (FastAPI) │◄──►│ (CrewAI) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │
▼ ▼
┌──────────────────┐ ┌─────────────────┐
│ PostgreSQL │ │ Audit Tools │
│ (Encrypted) │ │ (Slither/Mythril)│
└──────────────────┘ └─────────────────┘

Security Boundaries

  1. External Boundary: WAF, rate limiting, DDoS protection
  2. API Boundary: Authentication, authorization, input validation
  3. Agent Boundary: Sandboxed execution, resource limits
  4. Data Boundary: Encryption, access controls, audit logging
  5. Tool Boundary: Isolated execution environments

AI Agent Security Framework

Agent Authorization & Authentication

All AI agents operate within a secure authentication framework:

Agent Security Model:
- Identity: Unique agent identifiers with cryptographic signatures
- Authorization: Role-based access control (RBAC) with minimal privileges
- Session Management: Time-bound tokens with automatic rotation
- Tool Access: Explicit permission grants for external tool usage

Agent Behavior Monitoring

  • Action Logging: All agent decisions and tool invocations logged
  • Anomaly Detection: Behavioral pattern analysis for suspicious activity
  • Resource Monitoring: CPU, memory, and network usage tracking
  • Output Validation: AI-generated content scanning and filtering

Prompt Injection Prevention

Following OWASP AI security guidelines:

  • Input Sanitization: Strict validation of all user inputs
  • Context Isolation: Separation of user data from system prompts
  • Output Filtering: Content scanning for malicious instructions
  • Privilege Boundaries: Agent capabilities strictly limited

Tool Integration Security

  • Sandboxed Execution: All security tools run in isolated containers
  • Command Validation: Whitelist approach for tool parameters
  • Result Verification: Output validation before processing
  • Access Controls: Fine-grained permissions for tool access

Audit Process Security

Secure Audit Pipeline

graph LR
A[Code Submission] --> B[Input Validation]
B --> C[Containerized Analysis]
C --> D[Multi-Tool Execution]
D --> E[Result Aggregation]
E --> F[AI Assessment]
F --> G[Report Generation]
G --> H[Encrypted Storage]
Loading

Code Handling Security

  • Isolation: Each audit runs in a separate container environment
  • Resource Limits: CPU, memory, and time constraints
  • Network Segmentation: No external network access during analysis
  • Data Sanitization: Automatic cleanup after audit completion

Audit Tool Security

Slither Security:

  • Updated vulnerability signatures
  • Sandboxed execution environment
  • Output sanitization and validation

Mythril Security:

  • Isolated symbolic execution
  • Resource consumption monitoring
  • Secure result parsing

Custom Tools:

  • Code review for all custom integrations
  • Security testing before deployment
  • Regular security updates

Report Integrity

  • Digital Signatures: All reports cryptographically signed
  • Immutable Storage: Blockchain-based audit trail
  • Access Logging: Complete chain of custody tracking
  • Version Control: Tamper-evident report versioning

Container & Infrastructure Security

Docker Security

Following Docker security best practices:

# Security-hardened base imagesFROM debian:12-slim as base
RUN apt-get update && apt-get upgrade -y
# Non-root user executionRUN groupadd -r appuser && useradd -r -g appuser appuser
USER appuser
# Resource limits and security options
SECURITY_OPT: ["no-new-privileges:true"]
CAP_DROP: ["ALL"]
CAP_ADD: ["CHOWN", "SETGID", "SETUID"]

Container Scanning

  • Vulnerability Scanning: Trivy and Clair integration
  • Base Image Updates: Automated security patches
  • Configuration Hardening: CIS Docker Benchmark compliance
  • Runtime Security: Falco monitoring for suspicious activity

Infrastructure Security

Network Security:

  • VPC isolation with private subnets
  • WAF protection for public endpoints
  • Service mesh for internal communication
  • Network segmentation between components

Secrets Management:

  • HashiCorp Vault integration
  • Encrypted environment variables
  • Automatic secret rotation
  • No secrets in container images

Monitoring & Logging:

  • Centralized logging with ELK stack
  • Security event correlation
  • Real-time alerting system
  • Compliance audit trails

Data Protection & Privacy

Data Classification

ClassificationDescriptionSecurity Measures
PublicMarketing content, documentationStandard web security
InternalSystem logs, performance metricsAccess controls, encryption in transit
ConfidentialUser contracts, audit reportsEncryption at rest/transit, access logging
RestrictedPrivate keys, secretsHardware security modules, strict access

Encryption Standards

  • In Transit: TLS 1.3 for all communications
  • At Rest: AES-256 encryption for sensitive data
  • Key Management: Hardware security modules (HSM)
  • Database: Transparent data encryption (TDE)

Privacy Protection

  • Data Minimization: Collect only necessary information
  • Purpose Limitation: Data used only for stated purposes
  • Retention Policies: Automatic data purging schedules
  • User Rights: Data access, correction, and deletion capabilities

Security Guidelines for Contributors

Secure Development Practices

Code Security

# Input validation exampledefvalidate_contract_input(contract_code: str) ->bool:
"""Validate smart contract input with strict sanitization."""ifnotcontract_codeorlen(contract_code) >MAX_CONTRACT_SIZE:
returnFalse# Check for malicious patternsforbidden_patterns= [
r'eval\s*\(',
r'exec\s*\(',
r'import\s+os',
r'subprocess\.'
]
forpatterninforbidden_patterns:
ifre.search(pattern, contract_code):
returnFalsereturnTrue

Security Testing Requirements

  • Static Analysis: Pre-commit hooks with Bandit and Semgrep
  • Dependency Scanning: Automated vulnerability checks
  • Container Scanning: Image security validation
  • Integration Tests: Security-focused test scenarios

Pre-commit Security Hooks

# .pre-commit-config.yaml security hooksrepos:
- repo: https://github.com/PyCQA/banditrev: 1.7.5hooks:
- id: banditargs: ['-r', 'src/']
- repo: https://github.com/hadolint/hadolintrev: v2.12.0hooks:
- id: hadolint-docker

Secret Management

Never commit secrets to version control:

# Use environment variables
POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
REDIS_URL=${REDIS_URL}
API_SECRET_KEY=${API_SECRET_KEY}# Use .env files (git ignored)echo"*.env">> .gitignore
echo"secrets/">> .gitignore

Secure Configuration

Database Configuration:

DATABASE_CONFIG= {
'encrypt': True,
'ssl_mode': 'require',
'connection_timeout': 30,
'max_connections': 100,
'pool_pre_ping': True
}

API Security Configuration:

SECURITY_CONFIG= {
'rate_limit': '100/minute',
'jwt_secret_key': os.getenv('JWT_SECRET_KEY'),
'session_timeout': 3600,
'password_hash_rounds': 12
}

Incident Response

Security Incident Classification

SeverityDefinitionResponse TimeEscalation
CriticalActive exploitation, data breach< 1 hourExecutive team
HighVulnerability with high impact< 4 hoursSecurity team lead
MediumPotential security weakness< 24 hoursDevelopment team
LowMinor security concern< 72 hoursMaintainer review

Response Procedures

Immediate Response (First 1-4 hours)

  1. Contain: Isolate affected systems
  2. Assess: Determine scope and impact
  3. Communicate: Notify stakeholders
  4. Document: Begin incident log

Investigation Phase (First 24-48 hours)

  1. Evidence Collection: Preserve logs and artifacts
  2. Root Cause Analysis: Identify vulnerability source
  3. Impact Assessment: Determine data/system compromise
  4. Patch Development: Begin remediation work

Recovery Phase (48+ hours)

  1. Patch Deployment: Apply security fixes
  2. System Restoration: Return to normal operations
  3. Monitoring: Enhanced surveillance post-incident
  4. Post-Incident Review: Lessons learned documentation

Emergency Contacts


Compliance & Standards

Security Frameworks

We align with industry-standard security frameworks:

  • NIST Cybersecurity Framework: Core security practices
  • OWASP AI Security Guidelines: AI-specific security measures
  • ISO 27001: Information security management
  • SOC 2 Type II: Service organization controls

Smart Contract Security Standards

  • ConsenSys Diligence: Audit methodology alignment
  • Trail of Bits: Security assessment practices
  • OpenZeppelin: Secure development patterns
  • OWASP Smart Contract Security: Best practices adoption

Regular Security Assessments

  • Quarterly: Internal security reviews
  • Bi-annually: Third-party penetration testing
  • Annually: Comprehensive security audits
  • Continuous: Automated vulnerability scanning

Audit Trail Requirements

All security-relevant events must be logged with:

  • Timestamp (UTC)
  • Actor identification
  • Action performed
  • Resource affected
  • Result/outcome
  • Source IP address

Security Contact Information

For security-related inquiries and reports:


Acknowledgments

We thank the security research community for their contributions to making OpenAuditLabs Agent more secure. Responsible disclosure helps protect our users and the broader smart contract ecosystem.

Hall of Fame

Contributors who have responsibly disclosed vulnerabilities will be listed here with their permission.


Note: This security policy is reviewed and updated regularly. Please check back for the latest version. Last updated: January 2025.


This document is licensed under the same terms as the OpenAuditLabs/agent repository.

There aren't any published security advisories

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Security: OpenAuditLabs/agent

Security

SECURITY.md

Security Policy

OpenAuditLabs Agent Repository
Last Updated: July 2025


Table of Contents

  1. Security Overview
  2. Reporting Security Vulnerabilities
  3. Security Architecture
  4. AI Agent Security Framework
  5. Audit Process Security
  6. Container & Infrastructure Security
  7. Data Protection & Privacy
  8. Security Guidelines for Contributors
  9. Incident Response
  10. Compliance & Standards

Security Overview

OpenAuditLabs Agent is a sophisticated AI-powered smart contract auditing platform that leverages CrewAI, Slither, Mythril, and other security tools. Given the critical nature of smart contract security and the autonomous capabilities of AI agents, maintaining robust security practices is paramount to protecting both our system and our users' assets.

Core Security Principles

  • Defense in Depth: Multi-layered security approach across all system components
  • Zero Trust Architecture: Verify every interaction, never assume trust
  • Least Privilege: Minimal necessary permissions for all components
  • Transparency: Open security practices and clear audit trails
  • Continuous Monitoring: Real-time threat detection and response

Reporting Security Vulnerabilities

Vulnerability Disclosure Policy

We take security vulnerabilities seriously and appreciate responsible disclosure from the security research community.

How to Report

🚨 DO NOT report security vulnerabilities through public GitHub issues, discussions, or pull requests.

Instead, please email security vulnerabilities to: security@openauditlabs.com

Required Information

To help us validate and remediate issues quickly, please include:

  • Vulnerability Type: Clear classification (e.g., privilege escalation, injection, authentication bypass)
  • Affected Components: Specific file paths, endpoints, or system components
  • Reproduction Steps: Detailed step-by-step instructions with screenshots
  • Environment Details: Docker versions, OS, configuration requirements
  • Proof of Concept: Exploit code or demonstration (if available)
  • Impact Assessment: Potential consequences and attack scenarios
  • Suggested Remediation: Recommended fixes or mitigations

Our Response Process

  1. Acknowledgment: We will confirm receipt within 24 hours
  2. Initial Assessment: Vulnerability triage within 72 hours
  3. Validation: Reproduction and impact verification within 5 business days
  4. Remediation: Patch development and testing
  5. Disclosure: Coordinated public disclosure after fix deployment

Safe Harbor

If you make a good faith effort to comply with this policy during your security research, we will:

  • Consider your research authorized
  • Work with you to understand and resolve the issue quickly
  • Not pursue legal action related to your research
  • Recognize your contribution (with your permission)

Scope

In Scope:

  • All components in the OpenAuditLabs/agent repository
  • Docker containers and orchestration
  • API endpoints and authentication mechanisms
  • AI agent interactions and tool integrations
  • Database and data processing components

Out of Scope:

  • Social engineering attacks
  • Physical attacks on infrastructure
  • Third-party services and dependencies
  • DDoS attacks

Security Architecture

System Components

┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Web Client │ │ API Gateway │ │ AI Orchestrator│
│ (React/Next) │◄──►│ (FastAPI) │◄──►│ (CrewAI) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │
▼ ▼
┌──────────────────┐ ┌─────────────────┐
│ PostgreSQL │ │ Audit Tools │
│ (Encrypted) │ │ (Slither/Mythril)│
└──────────────────┘ └─────────────────┘

Security Boundaries

  1. External Boundary: WAF, rate limiting, DDoS protection
  2. API Boundary: Authentication, authorization, input validation
  3. Agent Boundary: Sandboxed execution, resource limits
  4. Data Boundary: Encryption, access controls, audit logging
  5. Tool Boundary: Isolated execution environments

AI Agent Security Framework

Agent Authorization & Authentication

All AI agents operate within a secure authentication framework:

Agent Security Model:
- Identity: Unique agent identifiers with cryptographic signatures
- Authorization: Role-based access control (RBAC) with minimal privileges
- Session Management: Time-bound tokens with automatic rotation
- Tool Access: Explicit permission grants for external tool usage

Agent Behavior Monitoring

  • Action Logging: All agent decisions and tool invocations logged
  • Anomaly Detection: Behavioral pattern analysis for suspicious activity
  • Resource Monitoring: CPU, memory, and network usage tracking
  • Output Validation: AI-generated content scanning and filtering

Prompt Injection Prevention

Following OWASP AI security guidelines:

  • Input Sanitization: Strict validation of all user inputs
  • Context Isolation: Separation of user data from system prompts
  • Output Filtering: Content scanning for malicious instructions
  • Privilege Boundaries: Agent capabilities strictly limited

Tool Integration Security

  • Sandboxed Execution: All security tools run in isolated containers
  • Command Validation: Whitelist approach for tool parameters
  • Result Verification: Output validation before processing
  • Access Controls: Fine-grained permissions for tool access

Audit Process Security

Secure Audit Pipeline

graph LR
A[Code Submission] --> B[Input Validation]
B --> C[Containerized Analysis]
C --> D[Multi-Tool Execution]
D --> E[Result Aggregation]
E --> F[AI Assessment]
F --> G[Report Generation]
G --> H[Encrypted Storage]
Loading

Code Handling Security

  • Isolation: Each audit runs in a separate container environment
  • Resource Limits: CPU, memory, and time constraints
  • Network Segmentation: No external network access during analysis
  • Data Sanitization: Automatic cleanup after audit completion

Audit Tool Security

Slither Security:

  • Updated vulnerability signatures
  • Sandboxed execution environment
  • Output sanitization and validation

Mythril Security:

  • Isolated symbolic execution
  • Resource consumption monitoring
  • Secure result parsing

Custom Tools:

  • Code review for all custom integrations
  • Security testing before deployment
  • Regular security updates

Report Integrity

  • Digital Signatures: All reports cryptographically signed
  • Immutable Storage: Blockchain-based audit trail
  • Access Logging: Complete chain of custody tracking
  • Version Control: Tamper-evident report versioning

Container & Infrastructure Security

Docker Security

Following Docker security best practices:

# Security-hardened base imagesFROM debian:12-slim as base
RUN apt-get update && apt-get upgrade -y
# Non-root user executionRUN groupadd -r appuser && useradd -r -g appuser appuser
USER appuser
# Resource limits and security options
SECURITY_OPT: ["no-new-privileges:true"]
CAP_DROP: ["ALL"]
CAP_ADD: ["CHOWN", "SETGID", "SETUID"]

Container Scanning

  • Vulnerability Scanning: Trivy and Clair integration
  • Base Image Updates: Automated security patches
  • Configuration Hardening: CIS Docker Benchmark compliance
  • Runtime Security: Falco monitoring for suspicious activity

Infrastructure Security

Network Security:

  • VPC isolation with private subnets
  • WAF protection for public endpoints
  • Service mesh for internal communication
  • Network segmentation between components

Secrets Management:

  • HashiCorp Vault integration
  • Encrypted environment variables
  • Automatic secret rotation
  • No secrets in container images

Monitoring & Logging:

  • Centralized logging with ELK stack
  • Security event correlation
  • Real-time alerting system
  • Compliance audit trails

Data Protection & Privacy

Data Classification

ClassificationDescriptionSecurity Measures
PublicMarketing content, documentationStandard web security
InternalSystem logs, performance metricsAccess controls, encryption in transit
ConfidentialUser contracts, audit reportsEncryption at rest/transit, access logging
RestrictedPrivate keys, secretsHardware security modules, strict access

Encryption Standards

  • In Transit: TLS 1.3 for all communications
  • At Rest: AES-256 encryption for sensitive data
  • Key Management: Hardware security modules (HSM)
  • Database: Transparent data encryption (TDE)

Privacy Protection

  • Data Minimization: Collect only necessary information
  • Purpose Limitation: Data used only for stated purposes
  • Retention Policies: Automatic data purging schedules
  • User Rights: Data access, correction, and deletion capabilities

Security Guidelines for Contributors

Secure Development Practices

Code Security

# Input validation exampledefvalidate_contract_input(contract_code: str) ->bool:
"""Validate smart contract input with strict sanitization."""ifnotcontract_codeorlen(contract_code) >MAX_CONTRACT_SIZE:
returnFalse# Check for malicious patternsforbidden_patterns= [
r'eval\s*\(',
r'exec\s*\(',
r'import\s+os',
r'subprocess\.'
]
forpatterninforbidden_patterns:
ifre.search(pattern, contract_code):
returnFalsereturnTrue

Security Testing Requirements

  • Static Analysis: Pre-commit hooks with Bandit and Semgrep
  • Dependency Scanning: Automated vulnerability checks
  • Container Scanning: Image security validation
  • Integration Tests: Security-focused test scenarios

Pre-commit Security Hooks

# .pre-commit-config.yaml security hooksrepos:
- repo: https://github.com/PyCQA/banditrev: 1.7.5hooks:
- id: banditargs: ['-r', 'src/']
- repo: https://github.com/hadolint/hadolintrev: v2.12.0hooks:
- id: hadolint-docker

Secret Management

Never commit secrets to version control:

# Use environment variables
POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
REDIS_URL=${REDIS_URL}
API_SECRET_KEY=${API_SECRET_KEY}# Use .env files (git ignored)echo"*.env">> .gitignore
echo"secrets/">> .gitignore

Secure Configuration

Database Configuration:

DATABASE_CONFIG= {
'encrypt': True,
'ssl_mode': 'require',
'connection_timeout': 30,
'max_connections': 100,
'pool_pre_ping': True
}

API Security Configuration:

SECURITY_CONFIG= {
'rate_limit': '100/minute',
'jwt_secret_key': os.getenv('JWT_SECRET_KEY'),
'session_timeout': 3600,
'password_hash_rounds': 12
}

Incident Response

Security Incident Classification

SeverityDefinitionResponse TimeEscalation
CriticalActive exploitation, data breach< 1 hourExecutive team
HighVulnerability with high impact< 4 hoursSecurity team lead
MediumPotential security weakness< 24 hoursDevelopment team
LowMinor security concern< 72 hoursMaintainer review

Response Procedures

Immediate Response (First 1-4 hours)

  1. Contain: Isolate affected systems
  2. Assess: Determine scope and impact
  3. Communicate: Notify stakeholders
  4. Document: Begin incident log

Investigation Phase (First 24-48 hours)

  1. Evidence Collection: Preserve logs and artifacts
  2. Root Cause Analysis: Identify vulnerability source
  3. Impact Assessment: Determine data/system compromise
  4. Patch Development: Begin remediation work

Recovery Phase (48+ hours)

  1. Patch Deployment: Apply security fixes
  2. System Restoration: Return to normal operations
  3. Monitoring: Enhanced surveillance post-incident
  4. Post-Incident Review: Lessons learned documentation

Emergency Contacts


Compliance & Standards

Security Frameworks

We align with industry-standard security frameworks:

  • NIST Cybersecurity Framework: Core security practices
  • OWASP AI Security Guidelines: AI-specific security measures
  • ISO 27001: Information security management
  • SOC 2 Type II: Service organization controls

Smart Contract Security Standards

  • ConsenSys Diligence: Audit methodology alignment
  • Trail of Bits: Security assessment practices
  • OpenZeppelin: Secure development patterns
  • OWASP Smart Contract Security: Best practices adoption

Regular Security Assessments

  • Quarterly: Internal security reviews
  • Bi-annually: Third-party penetration testing
  • Annually: Comprehensive security audits
  • Continuous: Automated vulnerability scanning

Audit Trail Requirements

All security-relevant events must be logged with:

  • Timestamp (UTC)
  • Actor identification
  • Action performed
  • Resource affected
  • Result/outcome
  • Source IP address

Security Contact Information

For security-related inquiries and reports:


Acknowledgments

We thank the security research community for their contributions to making OpenAuditLabs Agent more secure. Responsible disclosure helps protect our users and the broader smart contract ecosystem.

Hall of Fame

Contributors who have responsibly disclosed vulnerabilities will be listed here with their permission.


Note: This security policy is reviewed and updated regularly. Please check back for the latest version. Last updated: January 2025.


This document is licensed under the same terms as the OpenAuditLabs/agent repository.

There aren't any published security advisories

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Security: OpenAuditLabs/agent

Security

SECURITY.md

Security Policy

OpenAuditLabs Agent Repository
Last Updated: July 2025


Table of Contents

  1. Security Overview
  2. Reporting Security Vulnerabilities
  3. Security Architecture
  4. AI Agent Security Framework
  5. Audit Process Security
  6. Container & Infrastructure Security
  7. Data Protection & Privacy
  8. Security Guidelines for Contributors
  9. Incident Response
  10. Compliance & Standards

Security Overview

OpenAuditLabs Agent is a sophisticated AI-powered smart contract auditing platform that leverages CrewAI, Slither, Mythril, and other security tools. Given the critical nature of smart contract security and the autonomous capabilities of AI agents, maintaining robust security practices is paramount to protecting both our system and our users' assets.

Core Security Principles

  • Defense in Depth: Multi-layered security approach across all system components
  • Zero Trust Architecture: Verify every interaction, never assume trust
  • Least Privilege: Minimal necessary permissions for all components
  • Transparency: Open security practices and clear audit trails
  • Continuous Monitoring: Real-time threat detection and response

Reporting Security Vulnerabilities

Vulnerability Disclosure Policy

We take security vulnerabilities seriously and appreciate responsible disclosure from the security research community.

How to Report

🚨 DO NOT report security vulnerabilities through public GitHub issues, discussions, or pull requests.

Instead, please email security vulnerabilities to: security@openauditlabs.com

Required Information

To help us validate and remediate issues quickly, please include:

  • Vulnerability Type: Clear classification (e.g., privilege escalation, injection, authentication bypass)
  • Affected Components: Specific file paths, endpoints, or system components
  • Reproduction Steps: Detailed step-by-step instructions with screenshots
  • Environment Details: Docker versions, OS, configuration requirements
  • Proof of Concept: Exploit code or demonstration (if available)
  • Impact Assessment: Potential consequences and attack scenarios
  • Suggested Remediation: Recommended fixes or mitigations

Our Response Process

  1. Acknowledgment: We will confirm receipt within 24 hours
  2. Initial Assessment: Vulnerability triage within 72 hours
  3. Validation: Reproduction and impact verification within 5 business days
  4. Remediation: Patch development and testing
  5. Disclosure: Coordinated public disclosure after fix deployment

Safe Harbor

If you make a good faith effort to comply with this policy during your security research, we will:

  • Consider your research authorized
  • Work with you to understand and resolve the issue quickly
  • Not pursue legal action related to your research
  • Recognize your contribution (with your permission)

Scope

In Scope:

  • All components in the OpenAuditLabs/agent repository
  • Docker containers and orchestration
  • API endpoints and authentication mechanisms
  • AI agent interactions and tool integrations
  • Database and data processing components

Out of Scope:

  • Social engineering attacks
  • Physical attacks on infrastructure
  • Third-party services and dependencies
  • DDoS attacks

Security Architecture

System Components

┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Web Client │ │ API Gateway │ │ AI Orchestrator│
│ (React/Next) │◄──►│ (FastAPI) │◄──►│ (CrewAI) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │
▼ ▼
┌──────────────────┐ ┌─────────────────┐
│ PostgreSQL │ │ Audit Tools │
│ (Encrypted) │ │ (Slither/Mythril)│
└──────────────────┘ └─────────────────┘

Security Boundaries

  1. External Boundary: WAF, rate limiting, DDoS protection
  2. API Boundary: Authentication, authorization, input validation
  3. Agent Boundary: Sandboxed execution, resource limits
  4. Data Boundary: Encryption, access controls, audit logging
  5. Tool Boundary: Isolated execution environments

AI Agent Security Framework

Agent Authorization & Authentication

All AI agents operate within a secure authentication framework:

Agent Security Model:
- Identity: Unique agent identifiers with cryptographic signatures
- Authorization: Role-based access control (RBAC) with minimal privileges
- Session Management: Time-bound tokens with automatic rotation
- Tool Access: Explicit permission grants for external tool usage

Agent Behavior Monitoring

  • Action Logging: All agent decisions and tool invocations logged
  • Anomaly Detection: Behavioral pattern analysis for suspicious activity
  • Resource Monitoring: CPU, memory, and network usage tracking
  • Output Validation: AI-generated content scanning and filtering

Prompt Injection Prevention

Following OWASP AI security guidelines:

  • Input Sanitization: Strict validation of all user inputs
  • Context Isolation: Separation of user data from system prompts
  • Output Filtering: Content scanning for malicious instructions
  • Privilege Boundaries: Agent capabilities strictly limited

Tool Integration Security

  • Sandboxed Execution: All security tools run in isolated containers
  • Command Validation: Whitelist approach for tool parameters
  • Result Verification: Output validation before processing
  • Access Controls: Fine-grained permissions for tool access

Audit Process Security

Secure Audit Pipeline

graph LR
A[Code Submission] --> B[Input Validation]
B --> C[Containerized Analysis]
C --> D[Multi-Tool Execution]
D --> E[Result Aggregation]
E --> F[AI Assessment]
F --> G[Report Generation]
G --> H[Encrypted Storage]
Loading

Code Handling Security

  • Isolation: Each audit runs in a separate container environment
  • Resource Limits: CPU, memory, and time constraints
  • Network Segmentation: No external network access during analysis
  • Data Sanitization: Automatic cleanup after audit completion

Audit Tool Security

Slither Security:

  • Updated vulnerability signatures
  • Sandboxed execution environment
  • Output sanitization and validation

Mythril Security:

  • Isolated symbolic execution
  • Resource consumption monitoring
  • Secure result parsing

Custom Tools:

  • Code review for all custom integrations
  • Security testing before deployment
  • Regular security updates

Report Integrity

  • Digital Signatures: All reports cryptographically signed
  • Immutable Storage: Blockchain-based audit trail
  • Access Logging: Complete chain of custody tracking
  • Version Control: Tamper-evident report versioning

Container & Infrastructure Security

Docker Security

Following Docker security best practices:

# Security-hardened base imagesFROM debian:12-slim as base
RUN apt-get update && apt-get upgrade -y
# Non-root user executionRUN groupadd -r appuser && useradd -r -g appuser appuser
USER appuser
# Resource limits and security options
SECURITY_OPT: ["no-new-privileges:true"]
CAP_DROP: ["ALL"]
CAP_ADD: ["CHOWN", "SETGID", "SETUID"]

Container Scanning

  • Vulnerability Scanning: Trivy and Clair integration
  • Base Image Updates: Automated security patches
  • Configuration Hardening: CIS Docker Benchmark compliance
  • Runtime Security: Falco monitoring for suspicious activity

Infrastructure Security

Network Security:

  • VPC isolation with private subnets
  • WAF protection for public endpoints
  • Service mesh for internal communication
  • Network segmentation between components

Secrets Management:

  • HashiCorp Vault integration
  • Encrypted environment variables
  • Automatic secret rotation
  • No secrets in container images

Monitoring & Logging:

  • Centralized logging with ELK stack
  • Security event correlation
  • Real-time alerting system
  • Compliance audit trails

Data Protection & Privacy

Data Classification

ClassificationDescriptionSecurity Measures
PublicMarketing content, documentationStandard web security
InternalSystem logs, performance metricsAccess controls, encryption in transit
ConfidentialUser contracts, audit reportsEncryption at rest/transit, access logging
RestrictedPrivate keys, secretsHardware security modules, strict access

Encryption Standards

  • In Transit: TLS 1.3 for all communications
  • At Rest: AES-256 encryption for sensitive data
  • Key Management: Hardware security modules (HSM)
  • Database: Transparent data encryption (TDE)

Privacy Protection

  • Data Minimization: Collect only necessary information
  • Purpose Limitation: Data used only for stated purposes
  • Retention Policies: Automatic data purging schedules
  • User Rights: Data access, correction, and deletion capabilities

Security Guidelines for Contributors

Secure Development Practices

Code Security

# Input validation exampledefvalidate_contract_input(contract_code: str) ->bool:
"""Validate smart contract input with strict sanitization."""ifnotcontract_codeorlen(contract_code) >MAX_CONTRACT_SIZE:
returnFalse# Check for malicious patternsforbidden_patterns= [
r'eval\s*\(',
r'exec\s*\(',
r'import\s+os',
r'subprocess\.'
]
forpatterninforbidden_patterns:
ifre.search(pattern, contract_code):
returnFalsereturnTrue

Security Testing Requirements

  • Static Analysis: Pre-commit hooks with Bandit and Semgrep
  • Dependency Scanning: Automated vulnerability checks
  • Container Scanning: Image security validation
  • Integration Tests: Security-focused test scenarios

Pre-commit Security Hooks

# .pre-commit-config.yaml security hooksrepos:
- repo: https://github.com/PyCQA/banditrev: 1.7.5hooks:
- id: banditargs: ['-r', 'src/']
- repo: https://github.com/hadolint/hadolintrev: v2.12.0hooks:
- id: hadolint-docker

Secret Management

Never commit secrets to version control:

# Use environment variables
POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
REDIS_URL=${REDIS_URL}
API_SECRET_KEY=${API_SECRET_KEY}# Use .env files (git ignored)echo"*.env">> .gitignore
echo"secrets/">> .gitignore

Secure Configuration

Database Configuration:

DATABASE_CONFIG= {
'encrypt': True,
'ssl_mode': 'require',
'connection_timeout': 30,
'max_connections': 100,
'pool_pre_ping': True
}

API Security Configuration:

SECURITY_CONFIG= {
'rate_limit': '100/minute',
'jwt_secret_key': os.getenv('JWT_SECRET_KEY'),
'session_timeout': 3600,
'password_hash_rounds': 12
}

Incident Response

Security Incident Classification

SeverityDefinitionResponse TimeEscalation
CriticalActive exploitation, data breach< 1 hourExecutive team
HighVulnerability with high impact< 4 hoursSecurity team lead
MediumPotential security weakness< 24 hoursDevelopment team
LowMinor security concern< 72 hoursMaintainer review

Response Procedures

Immediate Response (First 1-4 hours)

  1. Contain: Isolate affected systems
  2. Assess: Determine scope and impact
  3. Communicate: Notify stakeholders
  4. Document: Begin incident log

Investigation Phase (First 24-48 hours)

  1. Evidence Collection: Preserve logs and artifacts
  2. Root Cause Analysis: Identify vulnerability source
  3. Impact Assessment: Determine data/system compromise
  4. Patch Development: Begin remediation work

Recovery Phase (48+ hours)

  1. Patch Deployment: Apply security fixes
  2. System Restoration: Return to normal operations
  3. Monitoring: Enhanced surveillance post-incident
  4. Post-Incident Review: Lessons learned documentation

Emergency Contacts


Compliance & Standards

Security Frameworks

We align with industry-standard security frameworks:

  • NIST Cybersecurity Framework: Core security practices
  • OWASP AI Security Guidelines: AI-specific security measures
  • ISO 27001: Information security management
  • SOC 2 Type II: Service organization controls

Smart Contract Security Standards

  • ConsenSys Diligence: Audit methodology alignment
  • Trail of Bits: Security assessment practices
  • OpenZeppelin: Secure development patterns
  • OWASP Smart Contract Security: Best practices adoption

Regular Security Assessments

  • Quarterly: Internal security reviews
  • Bi-annually: Third-party penetration testing
  • Annually: Comprehensive security audits
  • Continuous: Automated vulnerability scanning

Audit Trail Requirements

All security-relevant events must be logged with:

  • Timestamp (UTC)
  • Actor identification
  • Action performed
  • Resource affected
  • Result/outcome
  • Source IP address

Security Contact Information

For security-related inquiries and reports:


Acknowledgments

We thank the security research community for their contributions to making OpenAuditLabs Agent more secure. Responsible disclosure helps protect our users and the broader smart contract ecosystem.

Hall of Fame

Contributors who have responsibly disclosed vulnerabilities will be listed here with their permission.


Note: This security policy is reviewed and updated regularly. Please check back for the latest version. Last updated: January 2025.


This document is licensed under the same terms as the OpenAuditLabs/agent repository.

There aren't any published security advisories

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Security: OpenAuditLabs/agent

Security

SECURITY.md

Security Policy

OpenAuditLabs Agent Repository
Last Updated: July 2025


Table of Contents

  1. Security Overview
  2. Reporting Security Vulnerabilities
  3. Security Architecture
  4. AI Agent Security Framework
  5. Audit Process Security
  6. Container & Infrastructure Security
  7. Data Protection & Privacy
  8. Security Guidelines for Contributors
  9. Incident Response
  10. Compliance & Standards

Security Overview

OpenAuditLabs Agent is a sophisticated AI-powered smart contract auditing platform that leverages CrewAI, Slither, Mythril, and other security tools. Given the critical nature of smart contract security and the autonomous capabilities of AI agents, maintaining robust security practices is paramount to protecting both our system and our users' assets.

Core Security Principles

  • Defense in Depth: Multi-layered security approach across all system components
  • Zero Trust Architecture: Verify every interaction, never assume trust
  • Least Privilege: Minimal necessary permissions for all components
  • Transparency: Open security practices and clear audit trails
  • Continuous Monitoring: Real-time threat detection and response

Reporting Security Vulnerabilities

Vulnerability Disclosure Policy

We take security vulnerabilities seriously and appreciate responsible disclosure from the security research community.

How to Report

🚨 DO NOT report security vulnerabilities through public GitHub issues, discussions, or pull requests.

Instead, please email security vulnerabilities to: security@openauditlabs.com

Required Information

To help us validate and remediate issues quickly, please include:

  • Vulnerability Type: Clear classification (e.g., privilege escalation, injection, authentication bypass)
  • Affected Components: Specific file paths, endpoints, or system components
  • Reproduction Steps: Detailed step-by-step instructions with screenshots
  • Environment Details: Docker versions, OS, configuration requirements
  • Proof of Concept: Exploit code or demonstration (if available)
  • Impact Assessment: Potential consequences and attack scenarios
  • Suggested Remediation: Recommended fixes or mitigations

Our Response Process

  1. Acknowledgment: We will confirm receipt within 24 hours
  2. Initial Assessment: Vulnerability triage within 72 hours
  3. Validation: Reproduction and impact verification within 5 business days
  4. Remediation: Patch development and testing
  5. Disclosure: Coordinated public disclosure after fix deployment

Safe Harbor

If you make a good faith effort to comply with this policy during your security research, we will:

  • Consider your research authorized
  • Work with you to understand and resolve the issue quickly
  • Not pursue legal action related to your research
  • Recognize your contribution (with your permission)

Scope

In Scope:

  • All components in the OpenAuditLabs/agent repository
  • Docker containers and orchestration
  • API endpoints and authentication mechanisms
  • AI agent interactions and tool integrations
  • Database and data processing components

Out of Scope:

  • Social engineering attacks
  • Physical attacks on infrastructure
  • Third-party services and dependencies
  • DDoS attacks

Security Architecture

System Components

┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Web Client │ │ API Gateway │ │ AI Orchestrator│
│ (React/Next) │◄──►│ (FastAPI) │◄──►│ (CrewAI) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │
▼ ▼
┌──────────────────┐ ┌─────────────────┐
│ PostgreSQL │ │ Audit Tools │
│ (Encrypted) │ │ (Slither/Mythril)│
└──────────────────┘ └─────────────────┘

Security Boundaries

  1. External Boundary: WAF, rate limiting, DDoS protection
  2. API Boundary: Authentication, authorization, input validation
  3. Agent Boundary: Sandboxed execution, resource limits
  4. Data Boundary: Encryption, access controls, audit logging
  5. Tool Boundary: Isolated execution environments

AI Agent Security Framework

Agent Authorization & Authentication

All AI agents operate within a secure authentication framework:

Agent Security Model:
- Identity: Unique agent identifiers with cryptographic signatures
- Authorization: Role-based access control (RBAC) with minimal privileges
- Session Management: Time-bound tokens with automatic rotation
- Tool Access: Explicit permission grants for external tool usage

Agent Behavior Monitoring

  • Action Logging: All agent decisions and tool invocations logged
  • Anomaly Detection: Behavioral pattern analysis for suspicious activity
  • Resource Monitoring: CPU, memory, and network usage tracking
  • Output Validation: AI-generated content scanning and filtering

Prompt Injection Prevention

Following OWASP AI security guidelines:

  • Input Sanitization: Strict validation of all user inputs
  • Context Isolation: Separation of user data from system prompts
  • Output Filtering: Content scanning for malicious instructions
  • Privilege Boundaries: Agent capabilities strictly limited

Tool Integration Security

  • Sandboxed Execution: All security tools run in isolated containers
  • Command Validation: Whitelist approach for tool parameters
  • Result Verification: Output validation before processing
  • Access Controls: Fine-grained permissions for tool access

Audit Process Security

Secure Audit Pipeline

graph LR
A[Code Submission] --> B[Input Validation]
B --> C[Containerized Analysis]
C --> D[Multi-Tool Execution]
D --> E[Result Aggregation]
E --> F[AI Assessment]
F --> G[Report Generation]
G --> H[Encrypted Storage]
Loading

Code Handling Security

  • Isolation: Each audit runs in a separate container environment
  • Resource Limits: CPU, memory, and time constraints
  • Network Segmentation: No external network access during analysis
  • Data Sanitization: Automatic cleanup after audit completion

Audit Tool Security

Slither Security:

  • Updated vulnerability signatures
  • Sandboxed execution environment
  • Output sanitization and validation

Mythril Security:

  • Isolated symbolic execution
  • Resource consumption monitoring
  • Secure result parsing

Custom Tools:

  • Code review for all custom integrations
  • Security testing before deployment
  • Regular security updates

Report Integrity

  • Digital Signatures: All reports cryptographically signed
  • Immutable Storage: Blockchain-based audit trail
  • Access Logging: Complete chain of custody tracking
  • Version Control: Tamper-evident report versioning

Container & Infrastructure Security

Docker Security

Following Docker security best practices:

# Security-hardened base imagesFROM debian:12-slim as base
RUN apt-get update && apt-get upgrade -y
# Non-root user executionRUN groupadd -r appuser && useradd -r -g appuser appuser
USER appuser
# Resource limits and security options
SECURITY_OPT: ["no-new-privileges:true"]
CAP_DROP: ["ALL"]
CAP_ADD: ["CHOWN", "SETGID", "SETUID"]

Container Scanning

  • Vulnerability Scanning: Trivy and Clair integration
  • Base Image Updates: Automated security patches
  • Configuration Hardening: CIS Docker Benchmark compliance
  • Runtime Security: Falco monitoring for suspicious activity

Infrastructure Security

Network Security:

  • VPC isolation with private subnets
  • WAF protection for public endpoints
  • Service mesh for internal communication
  • Network segmentation between components

Secrets Management:

  • HashiCorp Vault integration
  • Encrypted environment variables
  • Automatic secret rotation
  • No secrets in container images

Monitoring & Logging:

  • Centralized logging with ELK stack
  • Security event correlation
  • Real-time alerting system
  • Compliance audit trails

Data Protection & Privacy

Data Classification

ClassificationDescriptionSecurity Measures
PublicMarketing content, documentationStandard web security
InternalSystem logs, performance metricsAccess controls, encryption in transit
ConfidentialUser contracts, audit reportsEncryption at rest/transit, access logging
RestrictedPrivate keys, secretsHardware security modules, strict access

Encryption Standards

  • In Transit: TLS 1.3 for all communications
  • At Rest: AES-256 encryption for sensitive data
  • Key Management: Hardware security modules (HSM)
  • Database: Transparent data encryption (TDE)

Privacy Protection

  • Data Minimization: Collect only necessary information
  • Purpose Limitation: Data used only for stated purposes
  • Retention Policies: Automatic data purging schedules
  • User Rights: Data access, correction, and deletion capabilities

Security Guidelines for Contributors

Secure Development Practices

Code Security

# Input validation exampledefvalidate_contract_input(contract_code: str) ->bool:
"""Validate smart contract input with strict sanitization."""ifnotcontract_codeorlen(contract_code) >MAX_CONTRACT_SIZE:
returnFalse# Check for malicious patternsforbidden_patterns= [
r'eval\s*\(',
r'exec\s*\(',
r'import\s+os',
r'subprocess\.'
]
forpatterninforbidden_patterns:
ifre.search(pattern, contract_code):
returnFalsereturnTrue

Security Testing Requirements

  • Static Analysis: Pre-commit hooks with Bandit and Semgrep
  • Dependency Scanning: Automated vulnerability checks
  • Container Scanning: Image security validation
  • Integration Tests: Security-focused test scenarios

Pre-commit Security Hooks

# .pre-commit-config.yaml security hooksrepos:
- repo: https://github.com/PyCQA/banditrev: 1.7.5hooks:
- id: banditargs: ['-r', 'src/']
- repo: https://github.com/hadolint/hadolintrev: v2.12.0hooks:
- id: hadolint-docker

Secret Management

Never commit secrets to version control:

# Use environment variables
POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
REDIS_URL=${REDIS_URL}
API_SECRET_KEY=${API_SECRET_KEY}# Use .env files (git ignored)echo"*.env">> .gitignore
echo"secrets/">> .gitignore

Secure Configuration

Database Configuration:

DATABASE_CONFIG= {
'encrypt': True,
'ssl_mode': 'require',
'connection_timeout': 30,
'max_connections': 100,
'pool_pre_ping': True
}

API Security Configuration:

SECURITY_CONFIG= {
'rate_limit': '100/minute',
'jwt_secret_key': os.getenv('JWT_SECRET_KEY'),
'session_timeout': 3600,
'password_hash_rounds': 12
}

Incident Response

Security Incident Classification

SeverityDefinitionResponse TimeEscalation
CriticalActive exploitation, data breach< 1 hourExecutive team
HighVulnerability with high impact< 4 hoursSecurity team lead
MediumPotential security weakness< 24 hoursDevelopment team
LowMinor security concern< 72 hoursMaintainer review

Response Procedures

Immediate Response (First 1-4 hours)

  1. Contain: Isolate affected systems
  2. Assess: Determine scope and impact
  3. Communicate: Notify stakeholders
  4. Document: Begin incident log

Investigation Phase (First 24-48 hours)

  1. Evidence Collection: Preserve logs and artifacts
  2. Root Cause Analysis: Identify vulnerability source
  3. Impact Assessment: Determine data/system compromise
  4. Patch Development: Begin remediation work

Recovery Phase (48+ hours)

  1. Patch Deployment: Apply security fixes
  2. System Restoration: Return to normal operations
  3. Monitoring: Enhanced surveillance post-incident
  4. Post-Incident Review: Lessons learned documentation

Emergency Contacts


Compliance & Standards

Security Frameworks

We align with industry-standard security frameworks:

  • NIST Cybersecurity Framework: Core security practices
  • OWASP AI Security Guidelines: AI-specific security measures
  • ISO 27001: Information security management
  • SOC 2 Type II: Service organization controls

Smart Contract Security Standards

  • ConsenSys Diligence: Audit methodology alignment
  • Trail of Bits: Security assessment practices
  • OpenZeppelin: Secure development patterns
  • OWASP Smart Contract Security: Best practices adoption

Regular Security Assessments

  • Quarterly: Internal security reviews
  • Bi-annually: Third-party penetration testing
  • Annually: Comprehensive security audits
  • Continuous: Automated vulnerability scanning

Audit Trail Requirements

All security-relevant events must be logged with:

  • Timestamp (UTC)
  • Actor identification
  • Action performed
  • Resource affected
  • Result/outcome
  • Source IP address

Security Contact Information

For security-related inquiries and reports:


Acknowledgments

We thank the security research community for their contributions to making OpenAuditLabs Agent more secure. Responsible disclosure helps protect our users and the broader smart contract ecosystem.

Hall of Fame

Contributors who have responsibly disclosed vulnerabilities will be listed here with their permission.


Note: This security policy is reviewed and updated regularly. Please check back for the latest version. Last updated: January 2025.


This document is licensed under the same terms as the OpenAuditLabs/agent repository.

There aren't any published security advisories

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Security: OpenAuditLabs/agent

Security

SECURITY.md

Security Policy

OpenAuditLabs Agent Repository
Last Updated: July 2025


Table of Contents

  1. Security Overview
  2. Reporting Security Vulnerabilities
  3. Security Architecture
  4. AI Agent Security Framework
  5. Audit Process Security
  6. Container & Infrastructure Security
  7. Data Protection & Privacy
  8. Security Guidelines for Contributors
  9. Incident Response
  10. Compliance & Standards

Security Overview

OpenAuditLabs Agent is a sophisticated AI-powered smart contract auditing platform that leverages CrewAI, Slither, Mythril, and other security tools. Given the critical nature of smart contract security and the autonomous capabilities of AI agents, maintaining robust security practices is paramount to protecting both our system and our users' assets.

Core Security Principles

  • Defense in Depth: Multi-layered security approach across all system components
  • Zero Trust Architecture: Verify every interaction, never assume trust
  • Least Privilege: Minimal necessary permissions for all components
  • Transparency: Open security practices and clear audit trails
  • Continuous Monitoring: Real-time threat detection and response

Reporting Security Vulnerabilities

Vulnerability Disclosure Policy

We take security vulnerabilities seriously and appreciate responsible disclosure from the security research community.

How to Report

🚨 DO NOT report security vulnerabilities through public GitHub issues, discussions, or pull requests.

Instead, please email security vulnerabilities to: security@openauditlabs.com

Required Information

To help us validate and remediate issues quickly, please include:

  • Vulnerability Type: Clear classification (e.g., privilege escalation, injection, authentication bypass)
  • Affected Components: Specific file paths, endpoints, or system components
  • Reproduction Steps: Detailed step-by-step instructions with screenshots
  • Environment Details: Docker versions, OS, configuration requirements
  • Proof of Concept: Exploit code or demonstration (if available)
  • Impact Assessment: Potential consequences and attack scenarios
  • Suggested Remediation: Recommended fixes or mitigations

Our Response Process

  1. Acknowledgment: We will confirm receipt within 24 hours
  2. Initial Assessment: Vulnerability triage within 72 hours
  3. Validation: Reproduction and impact verification within 5 business days
  4. Remediation: Patch development and testing
  5. Disclosure: Coordinated public disclosure after fix deployment

Safe Harbor

If you make a good faith effort to comply with this policy during your security research, we will:

  • Consider your research authorized
  • Work with you to understand and resolve the issue quickly
  • Not pursue legal action related to your research
  • Recognize your contribution (with your permission)

Scope

In Scope:

  • All components in the OpenAuditLabs/agent repository
  • Docker containers and orchestration
  • API endpoints and authentication mechanisms
  • AI agent interactions and tool integrations
  • Database and data processing components

Out of Scope:

  • Social engineering attacks
  • Physical attacks on infrastructure
  • Third-party services and dependencies
  • DDoS attacks

Security Architecture

System Components

┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Web Client │ │ API Gateway │ │ AI Orchestrator│
│ (React/Next) │◄──►│ (FastAPI) │◄──►│ (CrewAI) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │
▼ ▼
┌──────────────────┐ ┌─────────────────┐
│ PostgreSQL │ │ Audit Tools │
│ (Encrypted) │ │ (Slither/Mythril)│
└──────────────────┘ └─────────────────┘

Security Boundaries

  1. External Boundary: WAF, rate limiting, DDoS protection
  2. API Boundary: Authentication, authorization, input validation
  3. Agent Boundary: Sandboxed execution, resource limits
  4. Data Boundary: Encryption, access controls, audit logging
  5. Tool Boundary: Isolated execution environments

AI Agent Security Framework

Agent Authorization & Authentication

All AI agents operate within a secure authentication framework:

Agent Security Model:
- Identity: Unique agent identifiers with cryptographic signatures
- Authorization: Role-based access control (RBAC) with minimal privileges
- Session Management: Time-bound tokens with automatic rotation
- Tool Access: Explicit permission grants for external tool usage

Agent Behavior Monitoring

  • Action Logging: All agent decisions and tool invocations logged
  • Anomaly Detection: Behavioral pattern analysis for suspicious activity
  • Resource Monitoring: CPU, memory, and network usage tracking
  • Output Validation: AI-generated content scanning and filtering

Prompt Injection Prevention

Following OWASP AI security guidelines:

  • Input Sanitization: Strict validation of all user inputs
  • Context Isolation: Separation of user data from system prompts
  • Output Filtering: Content scanning for malicious instructions
  • Privilege Boundaries: Agent capabilities strictly limited

Tool Integration Security

  • Sandboxed Execution: All security tools run in isolated containers
  • Command Validation: Whitelist approach for tool parameters
  • Result Verification: Output validation before processing
  • Access Controls: Fine-grained permissions for tool access

Audit Process Security

Secure Audit Pipeline

graph LR
A[Code Submission] --> B[Input Validation]
B --> C[Containerized Analysis]
C --> D[Multi-Tool Execution]
D --> E[Result Aggregation]
E --> F[AI Assessment]
F --> G[Report Generation]
G --> H[Encrypted Storage]
Loading

Code Handling Security

  • Isolation: Each audit runs in a separate container environment
  • Resource Limits: CPU, memory, and time constraints
  • Network Segmentation: No external network access during analysis
  • Data Sanitization: Automatic cleanup after audit completion

Audit Tool Security

Slither Security:

  • Updated vulnerability signatures
  • Sandboxed execution environment
  • Output sanitization and validation

Mythril Security:

  • Isolated symbolic execution
  • Resource consumption monitoring
  • Secure result parsing

Custom Tools:

  • Code review for all custom integrations
  • Security testing before deployment
  • Regular security updates

Report Integrity

  • Digital Signatures: All reports cryptographically signed
  • Immutable Storage: Blockchain-based audit trail
  • Access Logging: Complete chain of custody tracking
  • Version Control: Tamper-evident report versioning

Container & Infrastructure Security

Docker Security

Following Docker security best practices:

# Security-hardened base imagesFROM debian:12-slim as base
RUN apt-get update && apt-get upgrade -y
# Non-root user executionRUN groupadd -r appuser && useradd -r -g appuser appuser
USER appuser
# Resource limits and security options
SECURITY_OPT: ["no-new-privileges:true"]
CAP_DROP: ["ALL"]
CAP_ADD: ["CHOWN", "SETGID", "SETUID"]

Container Scanning

  • Vulnerability Scanning: Trivy and Clair integration
  • Base Image Updates: Automated security patches
  • Configuration Hardening: CIS Docker Benchmark compliance
  • Runtime Security: Falco monitoring for suspicious activity

Infrastructure Security

Network Security:

  • VPC isolation with private subnets
  • WAF protection for public endpoints
  • Service mesh for internal communication
  • Network segmentation between components

Secrets Management:

  • HashiCorp Vault integration
  • Encrypted environment variables
  • Automatic secret rotation
  • No secrets in container images

Monitoring & Logging:

  • Centralized logging with ELK stack
  • Security event correlation
  • Real-time alerting system
  • Compliance audit trails

Data Protection & Privacy

Data Classification

ClassificationDescriptionSecurity Measures
PublicMarketing content, documentationStandard web security
InternalSystem logs, performance metricsAccess controls, encryption in transit
ConfidentialUser contracts, audit reportsEncryption at rest/transit, access logging
RestrictedPrivate keys, secretsHardware security modules, strict access

Encryption Standards

  • In Transit: TLS 1.3 for all communications
  • At Rest: AES-256 encryption for sensitive data
  • Key Management: Hardware security modules (HSM)
  • Database: Transparent data encryption (TDE)

Privacy Protection

  • Data Minimization: Collect only necessary information
  • Purpose Limitation: Data used only for stated purposes
  • Retention Policies: Automatic data purging schedules
  • User Rights: Data access, correction, and deletion capabilities

Security Guidelines for Contributors

Secure Development Practices

Code Security

# Input validation exampledefvalidate_contract_input(contract_code: str) ->bool:
"""Validate smart contract input with strict sanitization."""ifnotcontract_codeorlen(contract_code) >MAX_CONTRACT_SIZE:
returnFalse# Check for malicious patternsforbidden_patterns= [
r'eval\s*\(',
r'exec\s*\(',
r'import\s+os',
r'subprocess\.'
]
forpatterninforbidden_patterns:
ifre.search(pattern, contract_code):
returnFalsereturnTrue

Security Testing Requirements

  • Static Analysis: Pre-commit hooks with Bandit and Semgrep
  • Dependency Scanning: Automated vulnerability checks
  • Container Scanning: Image security validation
  • Integration Tests: Security-focused test scenarios

Pre-commit Security Hooks

# .pre-commit-config.yaml security hooksrepos:
- repo: https://github.com/PyCQA/banditrev: 1.7.5hooks:
- id: banditargs: ['-r', 'src/']
- repo: https://github.com/hadolint/hadolintrev: v2.12.0hooks:
- id: hadolint-docker

Secret Management

Never commit secrets to version control:

# Use environment variables
POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
REDIS_URL=${REDIS_URL}
API_SECRET_KEY=${API_SECRET_KEY}# Use .env files (git ignored)echo"*.env">> .gitignore
echo"secrets/">> .gitignore

Secure Configuration

Database Configuration:

DATABASE_CONFIG= {
'encrypt': True,
'ssl_mode': 'require',
'connection_timeout': 30,
'max_connections': 100,
'pool_pre_ping': True
}

API Security Configuration:

SECURITY_CONFIG= {
'rate_limit': '100/minute',
'jwt_secret_key': os.getenv('JWT_SECRET_KEY'),
'session_timeout': 3600,
'password_hash_rounds': 12
}

Incident Response

Security Incident Classification

SeverityDefinitionResponse TimeEscalation
CriticalActive exploitation, data breach< 1 hourExecutive team
HighVulnerability with high impact< 4 hoursSecurity team lead
MediumPotential security weakness< 24 hoursDevelopment team
LowMinor security concern< 72 hoursMaintainer review

Response Procedures

Immediate Response (First 1-4 hours)

  1. Contain: Isolate affected systems
  2. Assess: Determine scope and impact
  3. Communicate: Notify stakeholders
  4. Document: Begin incident log

Investigation Phase (First 24-48 hours)

  1. Evidence Collection: Preserve logs and artifacts
  2. Root Cause Analysis: Identify vulnerability source
  3. Impact Assessment: Determine data/system compromise
  4. Patch Development: Begin remediation work

Recovery Phase (48+ hours)

  1. Patch Deployment: Apply security fixes
  2. System Restoration: Return to normal operations
  3. Monitoring: Enhanced surveillance post-incident
  4. Post-Incident Review: Lessons learned documentation

Emergency Contacts


Compliance & Standards

Security Frameworks

We align with industry-standard security frameworks:

  • NIST Cybersecurity Framework: Core security practices
  • OWASP AI Security Guidelines: AI-specific security measures
  • ISO 27001: Information security management
  • SOC 2 Type II: Service organization controls

Smart Contract Security Standards

  • ConsenSys Diligence: Audit methodology alignment
  • Trail of Bits: Security assessment practices
  • OpenZeppelin: Secure development patterns
  • OWASP Smart Contract Security: Best practices adoption

Regular Security Assessments

  • Quarterly: Internal security reviews
  • Bi-annually: Third-party penetration testing
  • Annually: Comprehensive security audits
  • Continuous: Automated vulnerability scanning

Audit Trail Requirements

All security-relevant events must be logged with:

  • Timestamp (UTC)
  • Actor identification
  • Action performed
  • Resource affected
  • Result/outcome
  • Source IP address

Security Contact Information

For security-related inquiries and reports:


Acknowledgments

We thank the security research community for their contributions to making OpenAuditLabs Agent more secure. Responsible disclosure helps protect our users and the broader smart contract ecosystem.

Hall of Fame

Contributors who have responsibly disclosed vulnerabilities will be listed here with their permission.


Note: This security policy is reviewed and updated regularly. Please check back for the latest version. Last updated: January 2025.


This document is licensed under the same terms as the OpenAuditLabs/agent repository.

There aren't any published security advisories