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Skill evidence / testing-for-open-redirect-vulnerabilities
Skill profile

testing-for-open-redirect-vulnerabilities

Identifies and exploits open redirect vulnerabilities by analyzing URL redirection parameters (next.

What this skill does for you

Identifies and exploits open redirect vulnerabilities by analyzing URL redirection parameters (next, url, redirect, return, goto), applying bypass techniques, and chaining findings into phishing or token-theft exploits, using Burp Suite/OWASP ZAP and Burp Collaborator. Use when testing login/logout flows, OAuth redirect_uri handling, or SSO redirect validation.

Quoted from the skill description in the pinned source

Who made it

Publishermukul975
Installs310as 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 testing-for-open-redirect-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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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: 1. 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: 2. 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
sha256:0231a1d27563f0870945d98861c85544be35911209169bb5ed25134932247ad1
Licence
Apache-2.0