abusing-shadow-credentials-for-privesc

abusing-shadow-credentials-for-privesc is a Penetration testing & red team skill for AI agents, published by mukul975 in the Anthropic-Cybersecurity-Skills repository on GitHub. Skillspace rates abusing-shadow-credentials-for-privesc C (77/100) and it passed the safety scan; a judge model has also reviewed it.

Take over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target's NT hash without a password reset. Use when BloodHound shows GenericWrite/GenericAll/AddKeyCredentialLink over a target, as a stealthier alternative to ForceChangePassword, during authorized red-team engagements.

Grade
C
Quality
77 / 100
Safety
Passed
GitHub stars
32,716

Placed #1 of 6 in the judged category final for Penetration testing & red team.

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

Our review

Architecture
100 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

Judge review

Placed #1 of 6 in the judged category final for Penetration testing & red team.

  • Trigger9292
  • Instructions9292
  • Specificity9292
  • Safety8585
  • Disclosure6060
  • Maintenance7575
The sharpest trigger in the group (names the exact BloodHound ACEs), paired with a legal notice, an authorization prerequisite, real cited tooling, and explicit cleanup and remediation steps.

What the scanner flagged

  • mentions secrets in text

Not checked yet

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