binary-exploitation-methodology

binary-exploitation-methodology is a Penetration testing & red team skill for AI agents, published by wgpsec in the AboutSecurity repository on GitHub. Skillspace rates binary-exploitation-methodology D (64/100) and it passed the safety scan; the rating is based on static analysis only.

二进制漏洞利用基础方法论。涵盖漏洞识别（栈溢出/堆溢出/格式化字符串/UAF）、保护机制分析（ASLR/NX/Stack Canary/PIE/RELRO）、利用策略选择（ret2win/ret2shellcode/ROP/ret2libc）、调试与利用开发流程。当 Agent 需要分析二进制程序漏洞、选择利用策略、或理解保护机制绕过方法时触发。区别于 CTF pwn 技巧，侧重实战方法论。

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
1,569

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubwgpsec/AboutSecurity

Our review

Architecture
88 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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