Key Features and Tools
The suite is divided into several specialized modules, each targeting a different stage of a security audit:
URL Analysis (DAST): Performs dynamic analysis without sending malicious payloads. It identifies tech stacks and correlates them with public CVEs and Exploit-DB entries.
Code Analysis (SAST): Acts as a "white-box" reviewer. Users can paste code snippets, and the AI hunts for logic flaws, SQL injection, and XSS patterns.
Security Header Analyzer: Live-fetches HTTP headers (like CSP and HSTS) and provides a security score along with actionable fix recommendations.
Specialized Scanners: * DOM XSS Pathfinder: Traces data flows in JavaScript to find dangerous "sinks" like
innerHTML.JWT Auditor: Decodes JSON Web Tokens to find weak algorithms or claim manipulation vectors.
PrivEsc Pathfinder: Searches for RCE and privilege escalation paths in platforms like WordPress.
To solve the common problem of AI "hallucinations" or inconsistent results, BugTrace-AI uses a "Recursion -> Consolidation -> Refinement" methodology.
Recursion: It runs multiple scans using different AI "personas" (e.g., a "bug bounty hunter" vs. a "meticulous auditor").
Consolidation: A "Senior Security Analyst" persona then dedupes and merges the findings.
Refinement: The AI focuses on the most critical findings to write detailed Proof-of-Concepts (PoCs) and impact reports.
How to Use It
The tool is built with a React-based interface and is designed for easy deployment. It is available on GitHub and can be launched via Docker in minutes. While the tool itself is open-source and free, users typically connect it to an LLM provider like OpenRouter to power the AI logic.
The tool can be found at BugTrace-AI.