Projects

Projects

Production systems and research projects — focused on AI security, detection engineering, and DFIR automation.


Distributed AI Malware Analysis Engine

Secure code-analysis service for untrusted software. LLMs are not the primary detection mechanism.

  • FastAPI + Docker + gVisor isolation for untrusted payloads
  • Deterministic detection via Semgrep and YARA
  • LLMs restricted to contextual enrichment, not code execution or verdict authority

GitHub


Autonomous Phishing & Local VLM Triage

End-to-end phishing analysis: headless browser detonation, email header forensics, and locally hosted Vision-Language Model verdicts — sensitive telemetry never leaves the environment.

  • Stealth browser automation (playwright-stealth) to defeat basic cloaking
  • Multimodal analysis: screenshot + headers + body → structured verdict
  • Sub-60-second triage loop, fully local via Ollama

Write-up


OWASP LLM Lab — The Adversarial Analyst

Hands-on labs and forensic case studies covering the OWASP Top 10 for LLM Applications — prompt injection (LLM01), insecure output handling (LLM05), and trust-boundary failures in AI-integrated applications.

  • Reproducible Python applications with exploit demonstrations
  • Companion log analysis scripts and mock SOC evidence (server logs, telemetry)
  • Video walkthroughs on The Adversarial Analyst — data flow forensics, attack chains, and root cause analysis

GitHub · YouTube


Plaso DFIR Framework — Open Source

Forensic parsers for Jira and Confluence Data Center application logs, upstreamed to the Plaso timeline analysis framework.

  • Reliable extraction of Atlassian-specific artifacts
  • PRs: #5030, #5043

Plaso


LLM Investigation MCP (Wrike)

Least-privilege Model Context Protocol server connecting Rapid7 InsightIDR and Surface Command to LLM-driven security investigations.

  • Trust boundaries for untrusted telemetry (User-Agent, cmdline, headers)
  • Recursive prompt-injection scanner with human-gated closure
  • Preserves raw forensic data while labeling adversarial content for the model

Write-ups


Legacy / Early Projects

Earlier Python security tooling (password analysis, email header forensics, Telegram bot automation) remains in the archives but is not representative of current work.