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"If you believe your AI stack is secure — I have a few questions."


🐼 whoami

$ cat /etc/panda.conf
role:     Red Teamer & AI Security Researcher
focus:    Offensive tooling · TLS analysis · CVE intel · AI agent security
status:   Building CyberAI — AI-native pentest platform
belief:   "Completely safe" is a hypothesis, not a fact

I build tools that real pentesters use. From OOB detection and TLS fingerprinting to CVE intelligence pipelines — and now wrapping all of it with AI.


🛠 Stack

Python JavaScript Docker Burp Suite Linux SQLite Flask


🗂 Projects

Free self-hosted Burp Collaborator alternative. Captures OOB DNS & HTTPS callbacks, stores interactions in SQLite, reassembles exfiltrated payloads. No Burp Suite Pro required.

Stack:    JavaScript · SQLite · DNS · HTTPS
Use case: SSRF · blind XXE · OOB command injection

CVE Threat Intelligence Platform — NVD API 2.0. Pulls and enriches CVE data from NVD API 2.0. Fast path from "target identified" to "known attack surface mapped".

Stack:    Python · NVD API 2.0
Use case: Recon automation · vuln mapping · pentest reporting

TLS Analyzer & XTLS Reality Configuration Tool. Probes domains for TLS 1.3 · HTTP/2 ALPN · X25519 · CDN presence. Scores candidates (IDEAL → POOR) and generates ready configs for Xray-core, sing-box, Mihomo, and NekoRay. 120+ built-in domains, multi-source discovery, web dashboard with real-time progress.

Stack:    Python · Flask · cryptography
Use case: XTLS Reality SNI selection · proxy config generation

🛡️ MAS-Sentry-Toolkit [IN PROGRESS]

Multi-Agent System Security Auditing Framework. Introduces ABFP (Agent Behavioral Fingerprinting Protocol) — a novel method for passive/active identification and anomaly detection of agents via behavioral layer analysis: topic graphs, timing cadence, payload signatures, and FSM state inference.

Stack:    Python · MQTT · AMQP · Docker
Use case: MAS/IoT/Robotic security auditing · rogue agent detection
          · impersonation detection · STRIDE threat modeling

🤖 CyberAI [IN PROGRESS]

AI-powered pentest platform. AI orchestration layer over the phantom stack. Automates recon, correlates findings from phantom-intel and phantom-grid, surfaces actionable attack paths. Multi-agent architecture — built by someone who red-teams AI, not just with it.

Stack:    Python · LLM APIs · multi-agent orchestration
Status:   Active development

The platform I'm most focused on right now.


🔴 Research

[ ACTIVE ]   phantom-grid        — OOB detection & callback capture
[ ACTIVE ]   phantom-intel       — CVE threat intelligence pipeline
[ ACTIVE ]   reality-probe       — TLS analyzer & XTLS Reality config tool
[ BUILDING ] CyberAI             — AI-native pentest platform
[ BUILDING ] MAS-Sentry-Toolkit  — ABFP behavioral fingerprinting
[ STUDYING ] Prompt injection · agent hijacking · LLM attack surface analysis

📊 Activity

GitHub Stats

Streak


🤝 Contact

Open an issue in any repo with [CONTACT] in the title.


70616E6461panda · Red panda. Red team.

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