Next-Generation Penetration Testing Tool with AI-Driven Request Filtering and Automated Vulnerability Verification
- Intelligent URL Analysis: AI decides what to analyze vs filter
- Learning System: Improves filtering based on user feedback
- Context-Aware Decisions: Considers headers, methods, and content types
- Dynamic CDN Detection: Automatically identifies and filters CDN/script providers
- PoC Generation: AI creates executable proof-of-concept code
- Automatic Verification: Tests vulnerabilities to reduce false positives
- Safe Execution: Harmless payloads that verify without causing damage
- Real-Time Validation: Instant feedback on vulnerability accuracy
- Side-by-Side Request View: Original vs Modified request comparison
- Live Request Editing: Modify method, URL, headers, and body
- Payload Injection: One-click XSS and SQL injection payloads
- Export Capabilities: Generate cURL commands and Burp Suite format
- Professional Workflow: Integrates seamlessly with penetration testing
- False Positive Tracking: Monitors accuracy rates
- Verification Statistics: Shows confirmed vs unconfirmed vulnerabilities
- AI Learning Metrics: Tracks filter improvement over time
- Performance Insights: Detailed analysis of system efficiency
# Clone and setup
git clone https://github.com/Keyvanhardani/Vulna.git
cd Vulna
# Install dependencies
python -m venv vulna-env
vulna-env\Scripts\activate # Windows
pip install -r requirements.txt
# Ensure Ollama is running
ollama pull qwen2.5-coder:latest
# Start Vulna
python -m backend.main
Dashboard: http://localhost:3000
Smart Browser: Click "Start Browser" for auto-proxy setup
Incoming Request
β
π€ AI Smart Filter (Stage 1)
ββ FILTER β Skip (CDN, scripts, analytics)
ββ ANALYZE β Continue
β
π Function Calling Analysis (Stage 2)
ββ High Priority β AI Deep Analysis
ββ Medium Priority β AI Standard Analysis
ββ Low Priority β Pattern Matching
β
π¬ Automated Testing (Stage 3)
ββ Generate PoC β Execute β Verify
ββ Update Confidence Based on Results
AI-Identified Targets (FILTERED):
- CDN Services: Google, Cloudflare, JScdn, Bootstrap CDN
- Analytics: Google Analytics, Facebook Pixel, YouTube nocookie
- Static Assets: .js, .css, images, fonts, media files
- Social Widgets: Twitter, LinkedIn, Instagram embeds
- Ad Networks: DoubleClick, AdSense, Amazon ads
Penetration Testing Targets (ANALYZED):
- API Endpoints: /api/, /rest/, /graphql, /v1/
- Admin Interfaces: /admin/, /management/, /dashboard/
- Authentication: /login, /auth/, /signin, /oauth/
- Dynamic Content: POST/PUT/DELETE methods, parameters
- File Operations: /upload, /download, /files/
Supported Test Types:
- SQL Injection: Time-based and error-based testing
- XSS: Reflection and DOM-based payload testing
- IDOR: Parameter manipulation and access testing
- Open Redirect: Safe redirect validation
- File Upload: Extension and validation testing
Safety Features:
- Harmless payloads only (no destructive tests)
- 10-second execution timeout
- Sandboxed PoC execution
- Ethical testing guidelines
Professional Request Manipulation:
- Side-by-Side View: Original vs Modified request comparison
- Live Editing: Real-time modification of HTTP requests
- Method Tampering: Change GET/POST/PUT/DELETE methods
- Header Manipulation: Add/modify/remove HTTP headers
- Body Editing: Modify request body and parameters
Payload Injection System:
- XSS Payloads: One-click Cross-Site Scripting injection
- SQL Payloads: Automated SQL injection payload insertion
- Custom Payloads: Manual payload crafting and testing
- Parameter Fuzzing: Automated parameter manipulation
Export & Integration:
- cURL Generation: Export modified requests as cURL commands
- Burp Suite Format: Export requests in Burp Suite compatible format
- Request History: Track all modified requests and responses
- Copy/Paste Integration: Easy integration with external tools
Professional Workflow:
1. Vulnerability Detection β Auto-populate Request Inspector
2. Manual Request Modification β Real-time preview
3. Payload Injection β One-click vulnerability testing
4. Response Analysis β Immediate feedback
5. Export β cURL/Burp integration for further testing
Integrated Testing Interface:
[π¬ Generate PoC] [π¬ Chat with AI] [β‘ Auto Test] [π Analyze Exploitation]
Request Inspector Integration:
[π Request Inspector] - Burp-Style request manipulation
ββ Original Request View ββ Modified Request Editor
ββ [π Add XSS Payload] ββ [π Add SQL Payload]
ββ [π Generate cURL] ββ [π₯ Generate Burp]
AI Filter Statistics:
AI Filter Efficiency: 87%
Domains Learned: 1,247
False Positive Rate: 12%
Verification Rate: 73%
Real-Time Testing Status:
π¬ Auto-Testing: SQL Injection at /api/users
β
VERIFIED: XSS in search parameter
β FALSE POSITIVE: IDOR claim debunked
π REQUEST INSPECTOR: Modified POST to /login
Core Vulnerability Testing:
POST /api/vulnerability/{id}/test
- Manual vulnerability testingPOST /api/vulnerability/{id}/auto-test
- Automated comprehensive testingPOST /api/vulnerability/{id}/generate-poc
- Generate proof-of-conceptPOST /api/vulnerability/{id}/feedback
- Provide accuracy feedback
Request Inspector APIs:
GET /api/vulnerability/{id}/request-data
- Get original request dataPOST /api/vulnerability/{id}/send-request
- Send modified requestPOST /api/vulnerability/{id}/export-curl
- Export as cURL commandPOST /api/vulnerability/{id}/export-burp
- Export in Burp Suite format
Statistics & Analytics:
GET /api/stats/ai-filter
- AI filtering statisticsGET /api/stats/testing
- Vulnerability testing metricsGET /api/stats/inspector
- Request inspector usage metrics
Runtime: 300s | Proxy: 8081 | Dashboard: 3000
π₯ Requests: 234 analyzed, 1,456 AI-filtered (86% reduction)
π€ AI Analysis: Deep: 45, Standard: 123, Pattern: 66
π¬ Auto-Testing: 23 tests, 17 verified, 6 false positives
π― Verified Vulnerabilities: 17 (73% accuracy)
β‘ False Positive Rate: 26% (improving)
π§ AI Filter Learning:
- Filtered Domains: 1,247 unique
- User Feedback: 89 corrections
- Filter Accuracy: 87% (β5% this session)
- Top CDNs Detected: cloudflare.com, googleapis.com, jsdelivr.net
# In .env file
AI_SMART_FILTER=true
AUTO_VULNERABILITY_TESTING=true
AI_LEARNING_ENABLED=true
POC_EXECUTION_TIMEOUT=10
AI_FILTER_CACHE_SIZE=1000
# Adjust AI filter confidence thresholds
AI_FILTER_THRESHOLD=0.7 # Higher = more strict
AUTO_TEST_THRESHOLD=0.6 # When to auto-test findings
LEARNING_RATE=0.1 # How fast AI adapts to feedback
# Test AI filtering and vulnerability testing
cd tests
python test_new_features.py
# Expected output:
# β AI Smart Filter working
# β Vulnerability testing functional
# β PoC generation successful
# β False positive detection active
- Reduced Noise: 85%+ fewer irrelevant requests to review
- Verified Results: Automatic validation reduces false positives
- Time Savings: Focus on real vulnerabilities, not CDN requests
- Confidence Boost: PoC verification proves exploitability
- Burp-Style Workflow: Familiar request manipulation interface
- Export Integration: Seamless cURL and Burp Suite integration
- Accurate Reporting: Verified vulnerabilities with proof
- Learning System: Improves accuracy over time
- Efficiency Metrics: Track false positive reduction
- Custom Feedback: Train AI for your specific environment
- Request Documentation: Complete audit trail of all testing
- Fast Scanning: AI filters out noise automatically
- PoC Ready: Exploitable vulnerabilities come with working proof
- Quality Focus: Higher confidence in submitted findings
- Time Optimization: Spend time exploiting, not filtering
- Professional Tools: Request Inspector for advanced payload crafting
- Quick Exports: Instant cURL generation for external tool integration
Browser Traffic β mitmproxy β AI Smart Filter β Function Calling Analysis
β
π€ AI Decision Engine
β
ββ FILTER (CDN/Static) ββ΄β ANALYZE (Security-Relevant) ββ
β β
Skip Analysis LLM Analysis β Finding
β
π¬ Auto-Testing Engine
β
PoC Generation β Execution β Verification
β
π Enhanced Finding + Test Results β π Request Inspector
β
Manual Testing & Payload Injection
β
π cURL Export | π₯ Burp Export
Vulnerability Detection β Auto-populate Request Inspector
β
ββ Original Request ββ¬β Modified Request ββ
β β β
β β’ Method: GET β β’ Method: POST β
β β’ Headers β β’ Headers + Auth β
β β’ Parameters β β’ Injected Payloadsβ
β β β
βββββββββββ¬ββββββββββ΄ββββββββββ¬βββββββββββ
β β
βΌ βΌ
Read-Only View Live Editing + Testing
β
ββ Send Request ββ¬β Export ββ
β β β
βΌ βΌ βΌ
Response cURL Command Burp Format
Analysis Generation Export
π Enhanced Finding + Test Results
---
## π Performance Improvements
- **Request Processing**: 85% noise reduction through AI filtering
- **False Positive Rate**: Reduced from ~40% to ~15% with auto-testing
- **Analysis Speed**: Faster processing due to intelligent filtering
- **Accuracy**: 73% verification rate for detected vulnerabilities
- **Learning**: System improves continuously from user feedback
---
## π Migration from v3.0
**Automatic Migration**:
- All existing filtering rules preserved
- Enhanced with AI decision-making
- Backward compatible with existing configurations
- New features enabled by default
**New Dependencies**:
- No additional requirements
- Uses existing Ollama installation
- Leverages current qwen2.5-coder model
---
## π’ Enterprise Features
### Data Privacy & Security
- **Complete On-Premise Deployment**: All processing happens within your infrastructure
- **No External Dependencies**: Optional cloud features with explicit opt-in only
- **Encrypted Local Storage**: SQLite database with AES encryption
- **Audit Trail**: Complete logging of all analysis activities
### Enterprise Support
- **Custom Integration**: API endpoints for CI/CD pipeline integration
- **Compliance Ready**: GDPR, SOC 2, and industry-specific compliance support
- **Professional Support**: SLA-backed technical support and consultation
- **Custom Training**: AI model training on your specific environment
### Deployment Options
- **Docker Container**: Fully containerized deployment
- **Kubernetes**: Production-ready K8s manifests included
- **Air-Gapped**: Complete offline operation capability
- **Multi-Tenant**: Separate analysis environments per team
**Enterprise Inquiry**: Contact enterprise@keyvan.ai with your requirements.
---
**Keyvan Hardani** - AI Engineer specializing in AI Safety, Automotive & Cloud Cyber Security, and Test Automation.
- π **LinkedIn**: [linkedin.com/in/keyvanhardani](https://linkedin.com/in/keyvanhardani)
- π **Website**: [keyvan.ai](https://keyvan.ai)
- π§ **ORCID**: [0009-0000-6003-8826](https://orcid.org/0009-0000-6003-8826)
- π **Location**: Munich, Germany
---
## π License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
**Β© 2025 Keyvan Hardani. All rights reserved.**
---
## π€ Contributing
Contributions, issues, and feature requests are welcome! Feel free to check the [issues page](https://github.com/Keyvanhardani/Vulna/issues).
**Found this project helpful?** β Give it a star on GitHub!
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**Vulna v4.0 - Intelligent, Verified, Efficient** π‘οΈ
*Where AI meets Penetration Testing*
Ready for next-generation security assessments!