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cccskills

Results for “credential-stuffing”

5 skills · sorted by relevance

Investigate compromised credentials across AWS, Azure, and GCP by correlating security alerts and audit logs. Examines unusual API activity and suspicious sign-ins, helps assess the affected scope, and guides containment actions such as disabling keys and revoking sessions.

  • Investigate cloud API activity from unfamiliar locations
  • Assess exposure after a credential leak notification
  • Correlate suspicious sign-ins across cloud providers
mukul975/Anthropic-Cybersecurity-Skills34.7KUpdated Aug 31, 2026

Analyze authentication logs to spot suspicious sign-ins, password attacks, and possible account compromise. Statistical baselines and machine learning help compare login activity with normal user behavior, while example SIEM queries support security investigations.

  • Investigating suspicious sign-in alerts
  • Detecting geographically inconsistent logins
  • Finding brute force and password spraying
mukul975/Anthropic-Cybersecurity-Skills34.7KUpdated Aug 31, 2026

Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning models to identify impossible travel, credential stuffing, brute force, password spraying, and compromised account behaviors across authentication logs. Activates for requests involving authentication anomaly detection, login behavior analysis, UEBA implementation, or suspicious sign-in investigation.

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andycungkrinx91/konoha9Updated Oct 19, 2026

Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning models to identify impossible travel, credential stuffing, brute force, password spraying, and compromised account behaviors across authentication logs. Activates for requests involving authentication anomaly detection, login behavior analysis, UEBA implementation, or suspicious sign-in investigation.

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micsapp/micstec-skills4Updated Mar 20, 2026

Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning models to identify impossible travel, credential stuffing, brute force, password spraying, and compromised account behaviors across authentication logs. Activates for requests involving authentication anomaly detection, login behavior analysis, UEBA implementation, or suspicious sign-in investigation.

The English summary is being prepared. Showing the original description.

aniket2348823/Vul-Agent2Updated Jun 9, 2026