exploiting-idor-vulnerabilities

Identifies and exploits Insecure Direct Object Reference (IDOR) vulnerabilities by manipulating...

What this skill does for you

Identifies and exploits Insecure Direct Object Reference (IDOR) vulnerabilities by manipulating object identifiers (numeric IDs, UUIDs, slugs) in API requests and URLs, using Burp Suite proxy history, Intruder, and the Authorize extension to test object-level authorization across sessions. Use during authorized penetration tests or bug bounty work to validate that CRUD endpoints and multi-tenant applications enforce per-object access control.

Quoted from the skill description in the pinned source

Who made it

Publishermukul975

Repositoryanthropic-cybersecurity-skills

Installs350as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the exploiting-idor-vulnerabilities skill from mukul975/anthropic-cybersecurity-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 54a798831d2266a3ca61ce68a7acb80b81160d57. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 54a798831d2266a3ca61ce68a7acb80b81160d57. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 54a798831d2266a3ca61ce68a7acb80b81160d57. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/mukul975/anthropic-cybersecurity-skills
Pinned skill file: View source at revision
Revision: 54a798831d2266a3ca61ce68a7acb80b81160d57
Package hash: sha256:abb2d4df6fa0ed307506d6aab80642a97bdde107788ace4596c6875067d2cc5c
Licence: Apache-2.0