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-Skills☆ 34.7KUpdated 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-Skills☆ 34.7KUpdated 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/konoha☆ 9Updated 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.
The English summary is being prepared. Showing the original description.
micsapp/micstec-skills☆ 4Updated 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-Agent☆ 2Updated Jun 9, 2026