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Detecting DNS Exfiltration and C2 Activity
analyzing-dns-logs-for-exfiltration
mukul975/Anthropic-Cybersecurity-Skills
291
This skill analyzes DNS query logs to detect sophisticated threats such as data exfiltration via DNS tunneling, Domain Generation Algorithm (DGA) usage, and covert Command and Control (C2) channels. It utilizes advanced techniques like entropy analysis, query volume anomaly detection, and subdomain length analysis within SIEM platforms, helping SOC teams identify threats that bypass traditional network security controls.
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Detecting DNS Exfiltration with Zeek Analysis
detecting-exfiltration-over-dns-with-zeek
mukul975/Anthropic-Cybersecurity-Skills
249
This skill provides a methodology to detect data exfiltration attempts hidden within DNS queries. By analyzing Zeek dns.log files, the agent computes Shannon entropy of subdomains, flags unusually long labels, and monitors unique subdomain counts per parent domain. This technique is crucial for identifying malicious tunneling tools like dnscat2 or iodine that bypass traditional security controls.
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Detecting LOLBAS Abuse Via Process Telemetry
detecting-living-off-the-land-with-lolbas
mukul975/Anthropic-Cybersecurity-Skills
346
This skill provides a comprehensive framework for detecting Living Off the Land Binaries (LOLBAS) abuse, such as misuse of certutil, regsvr32, and mshta. It leverages process telemetry from Sysmon and Windows Event Logs, combined with advanced Sigma rule-based detection and parent-child process anomaly analysis. Ideal for SOC analysts and threat hunters investigating sophisticated adversaries aiming to evade traditional security controls.
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