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This skill provides a systematic methodology for detecting Command and Control (C2) beaconing patterns in network traffic. It utilizes advanced statistical techniques, including Coefficient of Variation (CV) and jitter analysis, applied to network flow logs (Zeek, proxy, firewall). It is crucial for proactive threat hunting and incident response to identify compromised endpoints communicating periodically with malicious infrastructure.

This skill guides threat hunters in detecting Cobalt Strike Command and Control (C2) beacons. It utilizes advanced network forensic techniques, including analyzing default TLS certificate serials, JA3/JA3S/JARM fingerprints, beacon jitter, and HTTP profile matching. Detection is achieved by correlating data from Zeek logs, Suricata rules, and Python PCAP analysis to identify suspicious outbound communications.

This capability provides advanced threat hunting by analyzing network telemetry (DNS, proxy, connection logs) to detect Command and Control (C2) beaconing patterns. It uses statistical analysis, frequency detection, and jitter analysis to identify compromised endpoints communicating with adversary infrastructure, crucial for proactive threat detection and incident response.

This skill provides advanced threat hunting techniques to detect unauthorized data exfiltration. It guides the analysis of network traffic, DNS queries, and cloud uploads to identify unusual data flows, DNS tunneling, and abuse of encrypted channels, essential for incident response and preventing data loss.

This skill guides security analysts in detecting data staging activities, a critical precursor to data exfiltration. It monitors for the use of archiving tools (7-Zip, RAR), unusual file consolidation patterns, and suspicious writes to temporary or hidden directories using EDR and process telemetry. Essential for proactive threat hunting and improving detection coverage for T1074 techniques.

This guide details how to hunt for DCSync attacks, a technique used to steal password hashes from Active Directory. It involves analyzing Windows Event ID 4662 to identify unauthorized DS-Replication-Get-Changes requests originating from non-domain-controller accounts. Essential for incident response and threat detection.

This skill detects anti-forensic timestomping by analyzing NTFS Master File Table (MFT) entries. It compares timestamps from the $STANDARD_INFORMATION attribute (user-modifiable) against the $FILE_NAME attribute (kernel-protected). Discrepancies, such as SI Created < FN Created, strongly indicate malicious manipulation and defense evasion. This methodology is crucial for advanced threat hunting and digital forensic investigations.

This skill guides security analysts through advanced threat-hunting methodologies focused on detecting DNS-based persistence. It analyzes passive DNS history, zone file audits, and API data (like SecurityTrails) to identify unauthorized record modifications, subdomain takeovers, and DNS hijacking attempts that bypass traditional security controls. Ideal for SOC analysts and threat hunters.

This skill detects domain fronting, an advanced technique used by attackers to mask Command and Control (C2) traffic. It analyzes proxy/web gateway logs for mismatches between the TLS SNI field and the HTTP Host header, combined with deep TLS certificate inspection using pyOpenSSL. This is crucial for security teams investigating sophisticated network threats and validating detection coverage.

This skill detects WMI-based lateral movement by analyzing key Windows Security Event ID 4688 and Sysmon Event ID 1 logs. It focuses on identifying suspicious process execution patterns, such as WmiPrvSE.exe spawning unauthorized child processes (cmd.exe, powershell.exe), suspicious command lines, and WMI event subscriptions used for persistence. Ideal for security incident response and threat detection.

Provides a structured methodology for proactive threat hunting against Living-off-the-Land Binaries (LOLBins). It guides practitioners in identifying techniques where adversaries abuse legitimate system tools (like certutil, mshta, rundll32) to execute payloads while bypassing traditional security controls (AV/EDR). Ideal for incident response, red team validation, and improving detection coverage against fileless attacks.

This skill focuses on threat hunting techniques to detect adversaries leveraging Living Off the Land Binaries (LOLBins). By analyzing detailed endpoint process creation logs (e.g., Sysmon), practitioners can identify suspicious execution patterns of legitimate Windows system binaries (like certutil, mshta, rundll32) used for malicious fileless attacks or defense evasion. It is crucial for improving detection coverage against advanced persistent threats.