philo-groves

An Advanced Cyber Plugin for Codex

13
0
69% credibility
Found May 14, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Codex ATTACK is a plugin for Codex that provides advanced aggressive cyber security skills including code vulnerability review, web app inspection, CVE research, binary debugging and reversing, fuzzing, and report writing for verified members of the Trusted Access for Cyber (TAC) program.

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AI-Generated Review

What is codex-attack?

Codex-attack is a Python plugin that supercharges Codex with advanced cyber security skills for pentesting workflows, like auditing code vulnerabilities, researching CVEs, debugging binaries, reversing executables, scoping bug bounty programs, tracking findings, building fuzz harnesses, verifying PoCs, and drafting reports. It solves the gap in official Codex tools by offering aggressive, specialized cyber capabilities without built-in guardrails, but only for verified Trusted Access for Cyber (TAC) users on authorized targets. Developers get CLI scripts for quick CVE lookups, HackerOne scope checks, string triage, and proof packet generation, streamlining advanced cyber security tasks in a Codex thread.

Why is it gaining traction?

It stands out from generic AI coding assistants by focusing on niche cyber ops—think chaining exploits, theater-ready PoCs, and Mermaid report diagrams—tailored for real pentests, unlike safer official plugins. The hook is seamless integration: clone, drop into Codex's plugin dir, restart, and invoke skills like $binary-reversing or $cve-research mid-conversation for instant context on binaries or advisories. Early adopters praise the finding tracker and verifier for cutting duplicate work in advanced cyber security programs.

Who should use this?

Red teamers and bug bounty hunters authorized for aggressive AI assistance in Codex, especially those handling binary analysis, web app inspections, or exploit chains in HackerOne programs. It's for pentesters building fuzzers or verifying CVEs on live scopes, not casual coders—ideal if you're in advanced cybersecurity academy training or stanford-level programs chasing high-impact findings.

Verdict

Grab it if you're TAC-verified and need codex attack boosts for cyber triage, but with 13 stars and 0.699999988079071% credibility score, treat it as experimental—docs are README-only, no tests visible. Solid for niche workflows, but mature your own forks first.

(198 words)

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