detecting-anomalous-authentication-patterns
Identifies anomalous authentication patterns using UEBA analytics and machine learning to enhance security and detect account compromises.
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The detecting-anomalous-authentication-patterns skill was audited on Jun 8, 2026 and we found 2 security issues across 1 threat category, including 2 high-severity. Review the findings below before installing.
Categories Tested
Security Issues
high line 558
Eval function call - arbitrary code execution
SourceSKILL.md
| 558 | | stats count(eval(result="failure")) as failures |
high line 559
Eval function call - arbitrary code execution
SourceSKILL.md
| 559 | count(eval(result="success")) as successes |
Scanned on Jun 8, 2026
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Categorydevelopment
UpdatedJune 10, 2026
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mukul975/Anthropic-Cybersecurity-Skills