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README.md

Express.js Basic Example

Basic example of Web Decoy integration with Express.js.

Setup

  1. Install dependencies:
npm install
  1. Copy .env.example to .env and add your API key:
cp .env.example .env
  1. Edit .env and set your Web Decoy API key:
WEBDECOY_API_KEY=sk_live_your_key_here

Run

Development mode:

npm run dev

Production build:

npm run build
npm start

Test

The server will start on http://localhost:3000.

Endpoints

  • GET /health - Health check (unprotected)
  • GET / - Protected home endpoint
  • GET /api/data - Protected API endpoint
  • POST /api/submit - Protected POST endpoint

Testing Bot Detection

Use these curl commands to test different bot detection scenarios:

1. Chrome Browser (should ALLOW)

Real browser with full security headers - passes local analysis with minimal threat score:

curl -s http://localhost:3000/ \
-H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" \
-H "Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8" \
-H "Accept-Language: en-US,en;q=0.5" \
-H "Accept-Encoding: gzip, deflate, br" \
-H "Sec-Ch-Ua: \"Not_A Brand\";v=\"8\", \"Chromium\";v=\"120\", \"Google Chrome\";v=\"120\"" \
-H "Sec-Ch-Ua-Mobile: ?0" \
-H "Sec-Ch-Ua-Platform: \"macOS\"" \
-H "Sec-Fetch-Dest: document" \
-H "Sec-Fetch-Mode: navigate" \
-H "Sec-Fetch-Site: none" \
-H "Sec-Fetch-User: ?1"

2. Python Requests (should BLOCK)

Common scraping library - easily detected and blocked:

curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0"

3. Curl User-Agent (should BLOCK)

Default curl user-agent - flagged as automated tool:

curl -s http://localhost:3000/ \
-H "User-Agent: curl/8.1.2"

4. Empty User-Agent (should BLOCK)

Missing user-agent is highly suspicious:

curl -s http://localhost:3000/ \
-H "User-Agent: "

5. Scrapy Bot (should BLOCK)

Known web scraping framework:

curl -s http://localhost:3000/ \
-H "User-Agent: Scrapy/2.8.0 (+https://scrapy.org)"

6. Go HTTP Client (should BLOCK)

Default Go HTTP client user-agent:

curl -s http://localhost:3000/ \
-H "User-Agent: Go-http-client/1.1"

Simulating External IP Addresses

When testing locally, connections come from ::1 (IPv6 localhost). To simulate external IPs for realistic testing, use the X-Forwarded-For header:

curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0" \
-H "X-Forwarded-For: 203.0.113.50"

This detection will show the IP 203.0.113.50 in the Web Decoy dashboard instead of ::1.

What's Happening

  1. All requests (except /health) go through Web Decoy middleware
  2. The middleware extracts request metadata (IP, headers, etc.)
  3. Local analysis checks for suspicious patterns
  4. If needed, server-side verification with TLS fingerprinting
  5. Request is allowed or blocked based on threat score
  6. Detection info is available via req.webdecoy

Learn More

See the main README for more documentation.

, '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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Express.js Basic Example
Basic example of Web Decoy integration with Express.js.
Setup
  1. Install dependencies:
npm install
  1. Copy .env.example to .env and add your API key:
cp .env.example .env
  1. Edit .env and set your Web Decoy API key:
WEBDECOY_API_KEY=sk_live_your_key_here
Run
Development mode:
npm run dev
Production build:
npm run build
npm start
Test
The server will start on http://localhost:3000.
Endpoints
  • GET /health - Health check (unprotected)
  • GET / - Protected home endpoint
  • GET /api/data - Protected API endpoint
  • POST /api/submit - Protected POST endpoint
Testing Bot Detection
Use these curl commands to test different bot detection scenarios:
1. Chrome Browser (should ALLOW)
Real browser with full security headers - passes local analysis with minimal threat score:
curl -s http://localhost:3000/ \
-H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" \
-H "Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8" \
-H "Accept-Language: en-US,en;q=0.5" \
-H "Accept-Encoding: gzip, deflate, br" \
-H "Sec-Ch-Ua: \"Not_A Brand\";v=\"8\", \"Chromium\";v=\"120\", \"Google Chrome\";v=\"120\"" \
-H "Sec-Ch-Ua-Mobile: ?0" \
-H "Sec-Ch-Ua-Platform: \"macOS\"" \
-H "Sec-Fetch-Dest: document" \
-H "Sec-Fetch-Mode: navigate" \
-H "Sec-Fetch-Site: none" \
-H "Sec-Fetch-User: ?1"
2. Python Requests (should BLOCK)
Common scraping library - easily detected and blocked:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0"
3. Curl User-Agent (should BLOCK)
Default curl user-agent - flagged as automated tool:
curl -s http://localhost:3000/ \
-H "User-Agent: curl/8.1.2"
4. Empty User-Agent (should BLOCK)
Missing user-agent is highly suspicious:
curl -s http://localhost:3000/ \
-H "User-Agent: "
5. Scrapy Bot (should BLOCK)
Known web scraping framework:
curl -s http://localhost:3000/ \
-H "User-Agent: Scrapy/2.8.0 (+https://scrapy.org)"
6. Go HTTP Client (should BLOCK)
Default Go HTTP client user-agent:
curl -s http://localhost:3000/ \
-H "User-Agent: Go-http-client/1.1"
Simulating External IP Addresses
When testing locally, connections come from ::1 (IPv6 localhost). To simulate external IPs for realistic testing, use the X-Forwarded-For header:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0" \
-H "X-Forwarded-For: 203.0.113.50"
This detection will show the IP 203.0.113.50 in the Web Decoy dashboard instead of ::1.
What's Happening
  1. All requests (except /health) go through Web Decoy middleware
  2. The middleware extracts request metadata (IP, headers, etc.)
  3. Local analysis checks for suspicious patterns
  4. If needed, server-side verification with TLS fingerprinting
  5. Request is allowed or blocked based on threat score
  6. Detection info is available via req.webdecoy
Learn More
See the main README for more documentation.

, '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('^' + ".*" + '

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README.md
Express.js Basic Example
Basic example of Web Decoy integration with Express.js.
Setup
  1. Install dependencies:
npm install
  1. Copy .env.example to .env and add your API key:
cp .env.example .env
  1. Edit .env and set your Web Decoy API key:
WEBDECOY_API_KEY=sk_live_your_key_here
Run
Development mode:
npm run dev
Production build:
npm run build
npm start
Test
The server will start on http://localhost:3000.
Endpoints
  • GET /health - Health check (unprotected)
  • GET / - Protected home endpoint
  • GET /api/data - Protected API endpoint
  • POST /api/submit - Protected POST endpoint
Testing Bot Detection
Use these curl commands to test different bot detection scenarios:
1. Chrome Browser (should ALLOW)
Real browser with full security headers - passes local analysis with minimal threat score:
curl -s http://localhost:3000/ \
-H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" \
-H "Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8" \
-H "Accept-Language: en-US,en;q=0.5" \
-H "Accept-Encoding: gzip, deflate, br" \
-H "Sec-Ch-Ua: \"Not_A Brand\";v=\"8\", \"Chromium\";v=\"120\", \"Google Chrome\";v=\"120\"" \
-H "Sec-Ch-Ua-Mobile: ?0" \
-H "Sec-Ch-Ua-Platform: \"macOS\"" \
-H "Sec-Fetch-Dest: document" \
-H "Sec-Fetch-Mode: navigate" \
-H "Sec-Fetch-Site: none" \
-H "Sec-Fetch-User: ?1"
2. Python Requests (should BLOCK)
Common scraping library - easily detected and blocked:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0"
3. Curl User-Agent (should BLOCK)
Default curl user-agent - flagged as automated tool:
curl -s http://localhost:3000/ \
-H "User-Agent: curl/8.1.2"
4. Empty User-Agent (should BLOCK)
Missing user-agent is highly suspicious:
curl -s http://localhost:3000/ \
-H "User-Agent: "
5. Scrapy Bot (should BLOCK)
Known web scraping framework:
curl -s http://localhost:3000/ \
-H "User-Agent: Scrapy/2.8.0 (+https://scrapy.org)"
6. Go HTTP Client (should BLOCK)
Default Go HTTP client user-agent:
curl -s http://localhost:3000/ \
-H "User-Agent: Go-http-client/1.1"
Simulating External IP Addresses
When testing locally, connections come from ::1 (IPv6 localhost). To simulate external IPs for realistic testing, use the X-Forwarded-For header:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0" \
-H "X-Forwarded-For: 203.0.113.50"
This detection will show the IP 203.0.113.50 in the Web Decoy dashboard instead of ::1.
What's Happening
  1. All requests (except /health) go through Web Decoy middleware
  2. The middleware extracts request metadata (IP, headers, etc.)
  3. Local analysis checks for suspicious patterns
  4. If needed, server-side verification with TLS fingerprinting
  5. Request is allowed or blocked based on threat score
  6. Detection info is available via req.webdecoy
Learn More
See the main README for more documentation.

, '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('^' + ".*" + '

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Express.js Basic Example
Basic example of Web Decoy integration with Express.js.
Setup
  1. Install dependencies:
npm install
  1. Copy .env.example to .env and add your API key:
cp .env.example .env
  1. Edit .env and set your Web Decoy API key:
WEBDECOY_API_KEY=sk_live_your_key_here
Run
Development mode:
npm run dev
Production build:
npm run build
npm start
Test
The server will start on http://localhost:3000.
Endpoints
  • GET /health - Health check (unprotected)
  • GET / - Protected home endpoint
  • GET /api/data - Protected API endpoint
  • POST /api/submit - Protected POST endpoint
Testing Bot Detection
Use these curl commands to test different bot detection scenarios:
1. Chrome Browser (should ALLOW)
Real browser with full security headers - passes local analysis with minimal threat score:
curl -s http://localhost:3000/ \
-H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" \
-H "Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8" \
-H "Accept-Language: en-US,en;q=0.5" \
-H "Accept-Encoding: gzip, deflate, br" \
-H "Sec-Ch-Ua: \"Not_A Brand\";v=\"8\", \"Chromium\";v=\"120\", \"Google Chrome\";v=\"120\"" \
-H "Sec-Ch-Ua-Mobile: ?0" \
-H "Sec-Ch-Ua-Platform: \"macOS\"" \
-H "Sec-Fetch-Dest: document" \
-H "Sec-Fetch-Mode: navigate" \
-H "Sec-Fetch-Site: none" \
-H "Sec-Fetch-User: ?1"
2. Python Requests (should BLOCK)
Common scraping library - easily detected and blocked:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0"
3. Curl User-Agent (should BLOCK)
Default curl user-agent - flagged as automated tool:
curl -s http://localhost:3000/ \
-H "User-Agent: curl/8.1.2"
4. Empty User-Agent (should BLOCK)
Missing user-agent is highly suspicious:
curl -s http://localhost:3000/ \
-H "User-Agent: "
5. Scrapy Bot (should BLOCK)
Known web scraping framework:
curl -s http://localhost:3000/ \
-H "User-Agent: Scrapy/2.8.0 (+https://scrapy.org)"
6. Go HTTP Client (should BLOCK)
Default Go HTTP client user-agent:
curl -s http://localhost:3000/ \
-H "User-Agent: Go-http-client/1.1"
Simulating External IP Addresses
When testing locally, connections come from ::1 (IPv6 localhost). To simulate external IPs for realistic testing, use the X-Forwarded-For header:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0" \
-H "X-Forwarded-For: 203.0.113.50"
This detection will show the IP 203.0.113.50 in the Web Decoy dashboard instead of ::1.
What's Happening
  1. All requests (except /health) go through Web Decoy middleware
  2. The middleware extracts request metadata (IP, headers, etc.)
  3. Local analysis checks for suspicious patterns
  4. If needed, server-side verification with TLS fingerprinting
  5. Request is allowed or blocked based on threat score
  6. Detection info is available via req.webdecoy
Learn More
See the main README for more documentation.

, '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" + '

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README.md
package.json
package.json
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tsconfig.json
README.md
Express.js Basic Example
Basic example of Web Decoy integration with Express.js.
Setup
  1. Install dependencies:
npm install
  1. Copy .env.example to .env and add your API key:
cp .env.example .env
  1. Edit .env and set your Web Decoy API key:
WEBDECOY_API_KEY=sk_live_your_key_here
Run
Development mode:
npm run dev
Production build:
npm run build
npm start
Test
The server will start on http://localhost:3000.
Endpoints
  • GET /health - Health check (unprotected)
  • GET / - Protected home endpoint
  • GET /api/data - Protected API endpoint
  • POST /api/submit - Protected POST endpoint
Testing Bot Detection
Use these curl commands to test different bot detection scenarios:
1. Chrome Browser (should ALLOW)
Real browser with full security headers - passes local analysis with minimal threat score:
curl -s http://localhost:3000/ \
-H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" \
-H "Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8" \
-H "Accept-Language: en-US,en;q=0.5" \
-H "Accept-Encoding: gzip, deflate, br" \
-H "Sec-Ch-Ua: \"Not_A Brand\";v=\"8\", \"Chromium\";v=\"120\", \"Google Chrome\";v=\"120\"" \
-H "Sec-Ch-Ua-Mobile: ?0" \
-H "Sec-Ch-Ua-Platform: \"macOS\"" \
-H "Sec-Fetch-Dest: document" \
-H "Sec-Fetch-Mode: navigate" \
-H "Sec-Fetch-Site: none" \
-H "Sec-Fetch-User: ?1"
2. Python Requests (should BLOCK)
Common scraping library - easily detected and blocked:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0"
3. Curl User-Agent (should BLOCK)
Default curl user-agent - flagged as automated tool:
curl -s http://localhost:3000/ \
-H "User-Agent: curl/8.1.2"
4. Empty User-Agent (should BLOCK)
Missing user-agent is highly suspicious:
curl -s http://localhost:3000/ \
-H "User-Agent: "
5. Scrapy Bot (should BLOCK)
Known web scraping framework:
curl -s http://localhost:3000/ \
-H "User-Agent: Scrapy/2.8.0 (+https://scrapy.org)"
6. Go HTTP Client (should BLOCK)
Default Go HTTP client user-agent:
curl -s http://localhost:3000/ \
-H "User-Agent: Go-http-client/1.1"
Simulating External IP Addresses
When testing locally, connections come from ::1 (IPv6 localhost). To simulate external IPs for realistic testing, use the X-Forwarded-For header:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0" \
-H "X-Forwarded-For: 203.0.113.50"
This detection will show the IP 203.0.113.50 in the Web Decoy dashboard instead of ::1.
What's Happening
  1. All requests (except /health) go through Web Decoy middleware
  2. The middleware extracts request metadata (IP, headers, etc.)
  3. Local analysis checks for suspicious patterns
  4. If needed, server-side verification with TLS fingerprinting
  5. Request is allowed or blocked based on threat score
  6. Detection info is available via req.webdecoy
Learn More
See the main README for more documentation.

, '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('^' + ".*" + '

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Express.js Basic Example
Basic example of Web Decoy integration with Express.js.
Setup
  1. Install dependencies:
npm install
  1. Copy .env.example to .env and add your API key:
cp .env.example .env
  1. Edit .env and set your Web Decoy API key:
WEBDECOY_API_KEY=sk_live_your_key_here
Run
Development mode:
npm run dev
Production build:
npm run build
npm start
Test
The server will start on http://localhost:3000.
Endpoints
  • GET /health - Health check (unprotected)
  • GET / - Protected home endpoint
  • GET /api/data - Protected API endpoint
  • POST /api/submit - Protected POST endpoint
Testing Bot Detection
Use these curl commands to test different bot detection scenarios:
1. Chrome Browser (should ALLOW)
Real browser with full security headers - passes local analysis with minimal threat score:
curl -s http://localhost:3000/ \
-H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" \
-H "Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8" \
-H "Accept-Language: en-US,en;q=0.5" \
-H "Accept-Encoding: gzip, deflate, br" \
-H "Sec-Ch-Ua: \"Not_A Brand\";v=\"8\", \"Chromium\";v=\"120\", \"Google Chrome\";v=\"120\"" \
-H "Sec-Ch-Ua-Mobile: ?0" \
-H "Sec-Ch-Ua-Platform: \"macOS\"" \
-H "Sec-Fetch-Dest: document" \
-H "Sec-Fetch-Mode: navigate" \
-H "Sec-Fetch-Site: none" \
-H "Sec-Fetch-User: ?1"
2. Python Requests (should BLOCK)
Common scraping library - easily detected and blocked:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0"
3. Curl User-Agent (should BLOCK)
Default curl user-agent - flagged as automated tool:
curl -s http://localhost:3000/ \
-H "User-Agent: curl/8.1.2"
4. Empty User-Agent (should BLOCK)
Missing user-agent is highly suspicious:
curl -s http://localhost:3000/ \
-H "User-Agent: "
5. Scrapy Bot (should BLOCK)
Known web scraping framework:
curl -s http://localhost:3000/ \
-H "User-Agent: Scrapy/2.8.0 (+https://scrapy.org)"
6. Go HTTP Client (should BLOCK)
Default Go HTTP client user-agent:
curl -s http://localhost:3000/ \
-H "User-Agent: Go-http-client/1.1"
Simulating External IP Addresses
When testing locally, connections come from ::1 (IPv6 localhost). To simulate external IPs for realistic testing, use the X-Forwarded-For header:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0" \
-H "X-Forwarded-For: 203.0.113.50"
This detection will show the IP 203.0.113.50 in the Web Decoy dashboard instead of ::1.
What's Happening
  1. All requests (except /health) go through Web Decoy middleware
  2. The middleware extracts request metadata (IP, headers, etc.)
  3. Local analysis checks for suspicious patterns
  4. If needed, server-side verification with TLS fingerprinting
  5. Request is allowed or blocked based on threat score
  6. Detection info is available via req.webdecoy
Learn More
See the main README for more documentation.

, '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('^' + ".*" + '

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README.md
Express.js Basic Example
Basic example of Web Decoy integration with Express.js.
Setup
  1. Install dependencies:
npm install
  1. Copy .env.example to .env and add your API key:
cp .env.example .env
  1. Edit .env and set your Web Decoy API key:
WEBDECOY_API_KEY=sk_live_your_key_here
Run
Development mode:
npm run dev
Production build:
npm run build
npm start
Test
The server will start on http://localhost:3000.
Endpoints
  • GET /health - Health check (unprotected)
  • GET / - Protected home endpoint
  • GET /api/data - Protected API endpoint
  • POST /api/submit - Protected POST endpoint
Testing Bot Detection
Use these curl commands to test different bot detection scenarios:
1. Chrome Browser (should ALLOW)
Real browser with full security headers - passes local analysis with minimal threat score:
curl -s http://localhost:3000/ \
-H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" \
-H "Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8" \
-H "Accept-Language: en-US,en;q=0.5" \
-H "Accept-Encoding: gzip, deflate, br" \
-H "Sec-Ch-Ua: \"Not_A Brand\";v=\"8\", \"Chromium\";v=\"120\", \"Google Chrome\";v=\"120\"" \
-H "Sec-Ch-Ua-Mobile: ?0" \
-H "Sec-Ch-Ua-Platform: \"macOS\"" \
-H "Sec-Fetch-Dest: document" \
-H "Sec-Fetch-Mode: navigate" \
-H "Sec-Fetch-Site: none" \
-H "Sec-Fetch-User: ?1"
2. Python Requests (should BLOCK)
Common scraping library - easily detected and blocked:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0"
3. Curl User-Agent (should BLOCK)
Default curl user-agent - flagged as automated tool:
curl -s http://localhost:3000/ \
-H "User-Agent: curl/8.1.2"
4. Empty User-Agent (should BLOCK)
Missing user-agent is highly suspicious:
curl -s http://localhost:3000/ \
-H "User-Agent: "
5. Scrapy Bot (should BLOCK)
Known web scraping framework:
curl -s http://localhost:3000/ \
-H "User-Agent: Scrapy/2.8.0 (+https://scrapy.org)"
6. Go HTTP Client (should BLOCK)
Default Go HTTP client user-agent:
curl -s http://localhost:3000/ \
-H "User-Agent: Go-http-client/1.1"
Simulating External IP Addresses
When testing locally, connections come from ::1 (IPv6 localhost). To simulate external IPs for realistic testing, use the X-Forwarded-For header:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0" \
-H "X-Forwarded-For: 203.0.113.50"
This detection will show the IP 203.0.113.50 in the Web Decoy dashboard instead of ::1.
What's Happening
  1. All requests (except /health) go through Web Decoy middleware
  2. The middleware extracts request metadata (IP, headers, etc.)
  3. Local analysis checks for suspicious patterns
  4. If needed, server-side verification with TLS fingerprinting
  5. Request is allowed or blocked based on threat score
  6. Detection info is available via req.webdecoy
Learn More
See the main README for more documentation.

, '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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express-basic
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..
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src
README.md
README.md
package.json
package.json
tsconfig.json
tsconfig.json
README.md
Express.js Basic Example
Basic example of Web Decoy integration with Express.js.
Setup
  1. Install dependencies:
npm install
  1. Copy .env.example to .env and add your API key:
cp .env.example .env
  1. Edit .env and set your Web Decoy API key:
WEBDECOY_API_KEY=sk_live_your_key_here
Run
Development mode:
npm run dev
Production build:
npm run build
npm start
Test
The server will start on http://localhost:3000.
Endpoints
  • GET /health - Health check (unprotected)
  • GET / - Protected home endpoint
  • GET /api/data - Protected API endpoint
  • POST /api/submit - Protected POST endpoint
Testing Bot Detection
Use these curl commands to test different bot detection scenarios:
1. Chrome Browser (should ALLOW)
Real browser with full security headers - passes local analysis with minimal threat score:
curl -s http://localhost:3000/ \
-H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" \
-H "Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8" \
-H "Accept-Language: en-US,en;q=0.5" \
-H "Accept-Encoding: gzip, deflate, br" \
-H "Sec-Ch-Ua: \"Not_A Brand\";v=\"8\", \"Chromium\";v=\"120\", \"Google Chrome\";v=\"120\"" \
-H "Sec-Ch-Ua-Mobile: ?0" \
-H "Sec-Ch-Ua-Platform: \"macOS\"" \
-H "Sec-Fetch-Dest: document" \
-H "Sec-Fetch-Mode: navigate" \
-H "Sec-Fetch-Site: none" \
-H "Sec-Fetch-User: ?1"
2. Python Requests (should BLOCK)
Common scraping library - easily detected and blocked:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0"
3. Curl User-Agent (should BLOCK)
Default curl user-agent - flagged as automated tool:
curl -s http://localhost:3000/ \
-H "User-Agent: curl/8.1.2"
4. Empty User-Agent (should BLOCK)
Missing user-agent is highly suspicious:
curl -s http://localhost:3000/ \
-H "User-Agent: "
5. Scrapy Bot (should BLOCK)
Known web scraping framework:
curl -s http://localhost:3000/ \
-H "User-Agent: Scrapy/2.8.0 (+https://scrapy.org)"
6. Go HTTP Client (should BLOCK)
Default Go HTTP client user-agent:
curl -s http://localhost:3000/ \
-H "User-Agent: Go-http-client/1.1"
Simulating External IP Addresses
When testing locally, connections come from ::1 (IPv6 localhost). To simulate external IPs for realistic testing, use the X-Forwarded-For header:
curl -s http://localhost:3000/ \
-H "User-Agent: python-requests/2.28.0" \
-H "X-Forwarded-For: 203.0.113.50"
This detection will show the IP 203.0.113.50 in the Web Decoy dashboard instead of ::1.
What's Happening
  1. All requests (except /health) go through Web Decoy middleware
  2. The middleware extracts request metadata (IP, headers, etc.)
  3. Local analysis checks for suspicious patterns
  4. If needed, server-side verification with TLS fingerprinting
  5. Request is allowed or blocked based on threat score
  6. Detection info is available via req.webdecoy
Learn More
See the main README for more documentation.