Next-generation security analysis combining AST parsing, static analysis, taint tracking, and AI-driven semantic review
Experience the DemoSophisticated AI agents working in harmony to ensure comprehensive security analysis
Intelligently scans and filters code repositories, identifying target files and ignoring irrelevant dependencies
Deep structural code analysis using Abstract Syntax Trees to identify security vulnerabilities with surgical precision
Bandit-powered static analysis detecting known security patterns and compliance violations
Advanced data flow tracking to identify injection vulnerabilities and unsafe data propagation
Validates findings across multiple analysis methods, eliminates false positives, and increases confidence scores
Google Gemini-powered analysis for business logic flaws, complex security patterns, and context-aware recommendations
Synthesizes all findings into comprehensive reports with severity ratings, CWE classifications, and remediation guidance
Multi-layered security analysis for comprehensive code review
Leverages Abstract Syntax Trees for precise structural analysis, detecting complex security vulnerabilities that regex-based tools miss. Analyzes code semantics, not just patterns.
Integrates multiple static analysis engines including Bandit, detecting known security vulnerabilities, compliance issues, and industry-standard security patterns.
Sophisticated data flow analysis tracking potentially dangerous user inputs through complex application flows, identifying injection vulnerabilities and unsafe data handling.
Google Gemini-powered analysis understanding business logic flaws, complex security patterns, and context-aware vulnerabilities that traditional tools cannot detect.
Validates findings across multiple analysis methods, eliminates false positives, and increases confidence scores through sophisticated correlation algorithms.
Detailed reports with severity ratings, CWE classifications, remediation suggestions, and integration with popular development tools and CI/CD pipelines.
Built with cutting-edge tools and frameworks for maximum performance and reliability
Core language parsing and analysis
AI-powered semantic analysis
Static security analysis
Structured data processing
High-performance analysis
Easy integration interface
Systematic approach to comprehensive code security review
Advanced repository parsing with intelligent file filtering, dependency exclusion, and support for multiple programming languages and frameworks.
Advanced repository parsing with intelligent file filtering, dependency exclusion, and support for multiple programming languages and frameworks.
Key Features:
Technology: Python, pathlib, file system APIs
Deep structural code analysis using Abstract Syntax Trees to identify security vulnerabilities with surgical precision.
Capabilities:
Technology: Python AST, NodeVisitor pattern
Integrates multiple static analysis engines including Bandit, detecting known security vulnerabilities and compliance issues.
Features:
Technology: Bandit, subprocess, JSON parsing
Sophisticated data flow analysis tracking potentially dangerous user inputs through complex application flows.
Analysis Types:
Technology: Custom taint tracking, data flow analysis
Validates findings across multiple analysis methods to eliminate false positives and increase confidence scores.
Validation Methods:
Technology: Issue correlation algorithms
Google Gemini-powered analysis for business logic flaws and context-aware security recommendations.
AI Capabilities:
Technology: Google Gemini API, prompt engineering
Easy integration with your existing development workflow and CI/CD pipelines
# Install required dependencies
pip install ast bandit google-generativeai
# Set environment variables
export GEMINI_API_KEY="your_api_key_here"
# Run the code review
python code_review_bot.py /path/to/your/repository
# Sample output
🚀 Starting code review workflow...
🔍 Parsing files in: /path/to/your/repository
📁 Found 42 files to review
🌳 Running AST-based security analysis...
🌳 AST analysis found 15 issues
🛡️ Running Bandit security analysis...
🛡️ Bandit found 22 security issues
🔍 Cross-validating issues...
📊 Validation: 18 agreements, 3 AST-only, 4 Bandit-only
🔬 Running enhanced taint analysis...
🔬 Taint analysis found 7 data flow issues
🧠 Running Gemini semantic analysis...
🧠 Gemini found 5 additional semantic issues
🚀 Code review workflow completed
🔍 Code review completed for /path/to/your/repository
Total issues found: 49
AST issues: 15
Bandit issues: 22
Gemini issues: 5
Taint issues: 7Our system seamlessly integrates with popular CI/CD platforms to provide automated security analysis on every commit.
Add security scanning to your GitHub workflows with our pre-built action
Integrate security analysis into your GitLab pipelines with minimal configuration
Add our security scanning step to your Jenkins pipelines for continuous protection
Experience our AI-powered code review system in action
Detected at line 42: User input directly concatenated into SQL query
query = "SELECT * FROM users WHERE username = '" + user_input + "'"
Suggested Fix: Use parameterized queries
query = "SELECT * FROM users WHERE username = %s" cursor.execute(query, (user_input,))
Sources: AST, Bandit, Taint Analysis (Confidence: High)
Detected at line 87: pickle.loads() called with user-controlled data
data = pickle.loads(user_provided_data)
Suggested Fix: Use JSON for safe serialization or implement strict validation
data = json.loads(user_provided_data)
Sources: AST, Gemini AI (Confidence: Medium)
Detected at line 15: API key hardcoded in source file
API_KEY = "sk_live_1234567890abcdef"
Suggested Fix: Use environment variables for sensitive data
API_KEY = os.getenv("API_KEY")
Sources: Bandit, Gemini AI (Confidence: High)
Real-world performance data from production deployments
Faster analysis compared to traditional tools
Accuracy rate across diverse codebases
Reduction in false positives through cross-validation
New vulnerability types detected compared to Bandit alone