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OpenAuditLabs Dataset

License: AGPL v3Version

Overview

A comprehensive collection of smart contract vulnerabilities, audit reports, and security patterns curated by OpenAuditLabs to advance blockchain security research and AI-powered analysis tools.

Dataset Contents

  • Vulnerability Samples: Categorized smart contract vulnerabilities with detailed metadata
  • Audit Reports: Professional security assessments and findings
  • Security Patterns: Common attack vectors and defensive measures
  • Code Samples: Vulnerable and secure contract implementations

Data Structure

dataset/
├── vulnerabilities/
│ ├── reentrancy/
│ ├── overflow/
│ └── access-control/
├── audits/
│ ├── defi/
│ └── nft/
├── patterns/
└── samples/

Usage

Python

importjsonimportos# Load vulnerability datawithopen('vulnerabilities/reentrancy/data.json', 'r') asf:
vuln_data=json.load(f)

Direct Download

Clone the repository or download specific categories as needed.

Quality Assurance

  • Expert validation by certified smart contract auditors
  • Automated quality checks and consistency validation
  • Peer review process for all submissions
  • Regular updates and maintenance

License

This dataset is licensed under the GNU Affero General Public License v3.0. See LICENSE for details.

Contributing

We welcome contributions from the security research community. Please see our contribution guidelines for more information.

Citation

If you use this dataset in your research, please cite:

@dataset{openauditlabs2025,
title={OpenAuditLabs Smart Contract Security Dataset},
author={OpenAuditLabs},
year={2025},
url={https://github.com/OpenAuditLabs/dataset}
}

Support

OpenAuditLabs - Securing the Future of Smart Contracts with AI

About

OpenAuditBenchmark: A Dataset and Benchmark for Agentic AI in Smart Contract Vulnerability Detection, Prioritization, and Patch Suggestion

Topics

agentic-frameworkbenchmark-frameworkbenchmark-suitedataset-generationsmart-contract-securitysmart-contract-toolssmart-contracts-audit

Resources

Readme
AGPL-3.0 license

Code of conduct

Code of conduct

Contributing

Contributing

Security policy

Security policy
Activity
Custom properties

Stars

1 star

Watchers

0 watching

Forks

3 forks
Report repository

Releases

Packages

Contributors

Languages

, '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" + '

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OpenAuditLabs Dataset
License: AGPL v3Version
Overview
A comprehensive collection of smart contract vulnerabilities, audit reports, and security patterns curated by OpenAuditLabs to advance blockchain security research and AI-powered analysis tools.
Dataset Contents
  • Vulnerability Samples: Categorized smart contract vulnerabilities with detailed metadata
  • Audit Reports: Professional security assessments and findings
  • Security Patterns: Common attack vectors and defensive measures
  • Code Samples: Vulnerable and secure contract implementations
Data Structure
dataset/
├── vulnerabilities/
│ ├── reentrancy/
│ ├── overflow/
│ └── access-control/
├── audits/
│ ├── defi/
│ └── nft/
├── patterns/
└── samples/

Usage
Python
importjsonimportos# Load vulnerability datawithopen('vulnerabilities/reentrancy/data.json', 'r') asf:
vuln_data=json.load(f)
Direct Download
Clone the repository or download specific categories as needed.
Quality Assurance
  • Expert validation by certified smart contract auditors
  • Automated quality checks and consistency validation
  • Peer review process for all submissions
  • Regular updates and maintenance
License
This dataset is licensed under the GNU Affero General Public License v3.0. See LICENSE for details.
Contributing
We welcome contributions from the security research community. Please see our contribution guidelines for more information.
Citation
If you use this dataset in your research, please cite:
@dataset{openauditlabs2025,
title={OpenAuditLabs Smart Contract Security Dataset},
author={OpenAuditLabs},
year={2025},
url={https://github.com/OpenAuditLabs/dataset}
}
Support
OpenAuditLabs - Securing the Future of Smart Contracts with AI

About
OpenAuditBenchmark: A Dataset and Benchmark for Agentic AI in Smart Contract Vulnerability Detection, Prioritization, and Patch Suggestion
Topics
agentic-frameworkbenchmark-frameworkbenchmark-suitedataset-generationsmart-contract-securitysmart-contract-toolssmart-contracts-audit
Resources
Readme
AGPL-3.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
BranchesTags
Repository files navigation
OpenAuditLabs Dataset
License: AGPL v3Version
Overview
A comprehensive collection of smart contract vulnerabilities, audit reports, and security patterns curated by OpenAuditLabs to advance blockchain security research and AI-powered analysis tools.
Dataset Contents
  • Vulnerability Samples: Categorized smart contract vulnerabilities with detailed metadata
  • Audit Reports: Professional security assessments and findings
  • Security Patterns: Common attack vectors and defensive measures
  • Code Samples: Vulnerable and secure contract implementations
Data Structure
dataset/
├── vulnerabilities/
│ ├── reentrancy/
│ ├── overflow/
│ └── access-control/
├── audits/
│ ├── defi/
│ └── nft/
├── patterns/
└── samples/

Usage
Python
importjsonimportos# Load vulnerability datawithopen('vulnerabilities/reentrancy/data.json', 'r') asf:
vuln_data=json.load(f)
Direct Download
Clone the repository or download specific categories as needed.
Quality Assurance
  • Expert validation by certified smart contract auditors
  • Automated quality checks and consistency validation
  • Peer review process for all submissions
  • Regular updates and maintenance
License
This dataset is licensed under the GNU Affero General Public License v3.0. See LICENSE for details.
Contributing
We welcome contributions from the security research community. Please see our contribution guidelines for more information.
Citation
If you use this dataset in your research, please cite:
@dataset{openauditlabs2025,
title={OpenAuditLabs Smart Contract Security Dataset},
author={OpenAuditLabs},
year={2025},
url={https://github.com/OpenAuditLabs/dataset}
}
Support
OpenAuditLabs - Securing the Future of Smart Contracts with AI

About
OpenAuditBenchmark: A Dataset and Benchmark for Agentic AI in Smart Contract Vulnerability Detection, Prioritization, and Patch Suggestion
Topics
agentic-frameworkbenchmark-frameworkbenchmark-suitedataset-generationsmart-contract-securitysmart-contract-toolssmart-contracts-audit
Resources
Readme
AGPL-3.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
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OpenAuditLabs Dataset
License: AGPL v3Version
Overview
A comprehensive collection of smart contract vulnerabilities, audit reports, and security patterns curated by OpenAuditLabs to advance blockchain security research and AI-powered analysis tools.
Dataset Contents
  • Vulnerability Samples: Categorized smart contract vulnerabilities with detailed metadata
  • Audit Reports: Professional security assessments and findings
  • Security Patterns: Common attack vectors and defensive measures
  • Code Samples: Vulnerable and secure contract implementations
Data Structure
dataset/
├── vulnerabilities/
│ ├── reentrancy/
│ ├── overflow/
│ └── access-control/
├── audits/
│ ├── defi/
│ └── nft/
├── patterns/
└── samples/

Usage
Python
importjsonimportos# Load vulnerability datawithopen('vulnerabilities/reentrancy/data.json', 'r') asf:
vuln_data=json.load(f)
Direct Download
Clone the repository or download specific categories as needed.
Quality Assurance
  • Expert validation by certified smart contract auditors
  • Automated quality checks and consistency validation
  • Peer review process for all submissions
  • Regular updates and maintenance
License
This dataset is licensed under the GNU Affero General Public License v3.0. See LICENSE for details.
Contributing
We welcome contributions from the security research community. Please see our contribution guidelines for more information.
Citation
If you use this dataset in your research, please cite:
@dataset{openauditlabs2025,
title={OpenAuditLabs Smart Contract Security Dataset},
author={OpenAuditLabs},
year={2025},
url={https://github.com/OpenAuditLabs/dataset}
}
Support
OpenAuditLabs - Securing the Future of Smart Contracts with AI

About
OpenAuditBenchmark: A Dataset and Benchmark for Agentic AI in Smart Contract Vulnerability Detection, Prioritization, and Patch Suggestion
Topics
agentic-frameworkbenchmark-frameworkbenchmark-suitedataset-generationsmart-contract-securitysmart-contract-toolssmart-contracts-audit
Resources
Readme
AGPL-3.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
BranchesTags
Repository files navigation
OpenAuditLabs Dataset
License: AGPL v3Version
Overview
A comprehensive collection of smart contract vulnerabilities, audit reports, and security patterns curated by OpenAuditLabs to advance blockchain security research and AI-powered analysis tools.
Dataset Contents
  • Vulnerability Samples: Categorized smart contract vulnerabilities with detailed metadata
  • Audit Reports: Professional security assessments and findings
  • Security Patterns: Common attack vectors and defensive measures
  • Code Samples: Vulnerable and secure contract implementations
Data Structure
dataset/
├── vulnerabilities/
│ ├── reentrancy/
│ ├── overflow/
│ └── access-control/
├── audits/
│ ├── defi/
│ └── nft/
├── patterns/
└── samples/

Usage
Python
importjsonimportos# Load vulnerability datawithopen('vulnerabilities/reentrancy/data.json', 'r') asf:
vuln_data=json.load(f)
Direct Download
Clone the repository or download specific categories as needed.
Quality Assurance
  • Expert validation by certified smart contract auditors
  • Automated quality checks and consistency validation
  • Peer review process for all submissions
  • Regular updates and maintenance
License
This dataset is licensed under the GNU Affero General Public License v3.0. See LICENSE for details.
Contributing
We welcome contributions from the security research community. Please see our contribution guidelines for more information.
Citation
If you use this dataset in your research, please cite:
@dataset{openauditlabs2025,
title={OpenAuditLabs Smart Contract Security Dataset},
author={OpenAuditLabs},
year={2025},
url={https://github.com/OpenAuditLabs/dataset}
}
Support
OpenAuditLabs - Securing the Future of Smart Contracts with AI

About
OpenAuditBenchmark: A Dataset and Benchmark for Agentic AI in Smart Contract Vulnerability Detection, Prioritization, and Patch Suggestion
Topics
agentic-frameworkbenchmark-frameworkbenchmark-suitedataset-generationsmart-contract-securitysmart-contract-toolssmart-contracts-audit
Resources
Readme
AGPL-3.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
BranchesTags
Repository files navigation
OpenAuditLabs Dataset
License: AGPL v3Version
Overview
A comprehensive collection of smart contract vulnerabilities, audit reports, and security patterns curated by OpenAuditLabs to advance blockchain security research and AI-powered analysis tools.
Dataset Contents
  • Vulnerability Samples: Categorized smart contract vulnerabilities with detailed metadata
  • Audit Reports: Professional security assessments and findings
  • Security Patterns: Common attack vectors and defensive measures
  • Code Samples: Vulnerable and secure contract implementations
Data Structure
dataset/
├── vulnerabilities/
│ ├── reentrancy/
│ ├── overflow/
│ └── access-control/
├── audits/
│ ├── defi/
│ └── nft/
├── patterns/
└── samples/

Usage
Python
importjsonimportos# Load vulnerability datawithopen('vulnerabilities/reentrancy/data.json', 'r') asf:
vuln_data=json.load(f)
Direct Download
Clone the repository or download specific categories as needed.
Quality Assurance
  • Expert validation by certified smart contract auditors
  • Automated quality checks and consistency validation
  • Peer review process for all submissions
  • Regular updates and maintenance
License
This dataset is licensed under the GNU Affero General Public License v3.0. See LICENSE for details.
Contributing
We welcome contributions from the security research community. Please see our contribution guidelines for more information.
Citation
If you use this dataset in your research, please cite:
@dataset{openauditlabs2025,
title={OpenAuditLabs Smart Contract Security Dataset},
author={OpenAuditLabs},
year={2025},
url={https://github.com/OpenAuditLabs/dataset}
}
Support
OpenAuditLabs - Securing the Future of Smart Contracts with AI

About
OpenAuditBenchmark: A Dataset and Benchmark for Agentic AI in Smart Contract Vulnerability Detection, Prioritization, and Patch Suggestion
Topics
agentic-frameworkbenchmark-frameworkbenchmark-suitedataset-generationsmart-contract-securitysmart-contract-toolssmart-contracts-audit
Resources
Readme
AGPL-3.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
BranchesTags
Repository files navigation
OpenAuditLabs Dataset
License: AGPL v3Version
Overview
A comprehensive collection of smart contract vulnerabilities, audit reports, and security patterns curated by OpenAuditLabs to advance blockchain security research and AI-powered analysis tools.
Dataset Contents
  • Vulnerability Samples: Categorized smart contract vulnerabilities with detailed metadata
  • Audit Reports: Professional security assessments and findings
  • Security Patterns: Common attack vectors and defensive measures
  • Code Samples: Vulnerable and secure contract implementations
Data Structure
dataset/
├── vulnerabilities/
│ ├── reentrancy/
│ ├── overflow/
│ └── access-control/
├── audits/
│ ├── defi/
│ └── nft/
├── patterns/
└── samples/

Usage
Python
importjsonimportos# Load vulnerability datawithopen('vulnerabilities/reentrancy/data.json', 'r') asf:
vuln_data=json.load(f)
Direct Download
Clone the repository or download specific categories as needed.
Quality Assurance
  • Expert validation by certified smart contract auditors
  • Automated quality checks and consistency validation
  • Peer review process for all submissions
  • Regular updates and maintenance
License
This dataset is licensed under the GNU Affero General Public License v3.0. See LICENSE for details.
Contributing
We welcome contributions from the security research community. Please see our contribution guidelines for more information.
Citation
If you use this dataset in your research, please cite:
@dataset{openauditlabs2025,
title={OpenAuditLabs Smart Contract Security Dataset},
author={OpenAuditLabs},
year={2025},
url={https://github.com/OpenAuditLabs/dataset}
}
Support
OpenAuditLabs - Securing the Future of Smart Contracts with AI

About
OpenAuditBenchmark: A Dataset and Benchmark for Agentic AI in Smart Contract Vulnerability Detection, Prioritization, and Patch Suggestion
Topics
agentic-frameworkbenchmark-frameworkbenchmark-suitedataset-generationsmart-contract-securitysmart-contract-toolssmart-contracts-audit
Resources
Readme
AGPL-3.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, '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); }
})();
})();

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OpenAuditLabs Dataset
License: AGPL v3Version
Overview
A comprehensive collection of smart contract vulnerabilities, audit reports, and security patterns curated by OpenAuditLabs to advance blockchain security research and AI-powered analysis tools.
Dataset Contents
  • Vulnerability Samples: Categorized smart contract vulnerabilities with detailed metadata
  • Audit Reports: Professional security assessments and findings
  • Security Patterns: Common attack vectors and defensive measures
  • Code Samples: Vulnerable and secure contract implementations
Data Structure
dataset/
├── vulnerabilities/
│ ├── reentrancy/
│ ├── overflow/
│ └── access-control/
├── audits/
│ ├── defi/
│ └── nft/
├── patterns/
└── samples/

Usage
Python
importjsonimportos# Load vulnerability datawithopen('vulnerabilities/reentrancy/data.json', 'r') asf:
vuln_data=json.load(f)
Direct Download
Clone the repository or download specific categories as needed.
Quality Assurance
  • Expert validation by certified smart contract auditors
  • Automated quality checks and consistency validation
  • Peer review process for all submissions
  • Regular updates and maintenance
License
This dataset is licensed under the GNU Affero General Public License v3.0. See LICENSE for details.
Contributing
We welcome contributions from the security research community. Please see our contribution guidelines for more information.
Citation
If you use this dataset in your research, please cite:
@dataset{openauditlabs2025,
title={OpenAuditLabs Smart Contract Security Dataset},
author={OpenAuditLabs},
year={2025},
url={https://github.com/OpenAuditLabs/dataset}
}
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OpenAuditLabs - Securing the Future of Smart Contracts with AI

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OpenAuditBenchmark: A Dataset and Benchmark for Agentic AI in Smart Contract Vulnerability Detection, Prioritization, and Patch Suggestion
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