offensive-idor

offensive-idor is a Penetration testing & red team skill for AI agents, published by 26zl in the cybersec-toolkit repository on GitHub. Skillspace rates offensive-idor D (63/100) and it passed the safety scan; the rating is based on static analysis only.

IDOR (Insecure Direct Object Reference) testing checklist: object ID enumeration, horizontal/vertical privilege escalation, GUID predictability, indirect references via hashes, chained IDOR, and API endpoint IDOR. Use for web app pentests and bug bounty IDOR discovery. Use only for authorized security research, training, or assessment.

Grade
D
Quality
63 / 100
Safety
Passed
GitHub stars
28

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 GitHub26zl/cybersec-toolkit

Our review

Architecture
86 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 1 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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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