idor-methodology

idor-methodology is a Penetration testing & red team skill for AI agents, published by haibo3434358 in the ScareAISec repository on GitHub. Skillspace rates idor-methodology D (57/100) and it passed the safety scan; the rating is based on static analysis only.

IDOR/BOLA 越权漏洞完整方法论 — 基于 250+ HackerOne 真实报告 + Intigriti/CN-SEC 实战技巧提炼。覆盖水平越权、垂直越权、盲 IDOR、GraphQL IDOR、二阶 IDOR、多租户越权、API 版本降级、文件资源 IDOR、批量操作越权、403 绕过。任何出现 user_id/order_id/file_id/org_id/tenant_id/uuid/资源 ID/批量 ids/导出任务/对象归属的场景都必须使用此 skill。

Grade
D
Quality
57 / 100
Safety
Passed
GitHub stars
55

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 GitHubhaibo3434358/ScareAISec

Our review

Architecture
76 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
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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