Skill UI

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 provides comprehensive methods to detect Cobalt Strike beacon command-and-control (C2) traffic. It uses advanced network forensics techniques, including analyzing default TLS certificates (e.g., serial 8BB00EE), JA3/JA3S fingerprints, HTTP malleable profiles, and beacon interval jitter, leveraging Zeek logs, Suricata rules, and Python PCAP analysis. It is essential for threat hunters and SOC analysts investigating sophisticated C2 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.

A comprehensive guide for security professionals to detect data exfiltration by analyzing network telemetry (Zeek, Suricata) and logs. Techniques include identifying DNS tunneling, unusual cloud uploads, and detecting large/abusive data flows across various channels during incident response and proactive threat hunting.

This guide details how to hunt for DCSync attacks (MITRE ATT&CK T1003.006) in Active Directory environments. It focuses on analyzing Windows Security Event ID 4662, specifically looking for DS-Replication-Get-Changes requests originating from non-domain-controller accounts. This technique is critical for incident response, purple teaming, and detecting unauthorized credential theft via Active Directory replication abuse.

This skill provides a structured methodology for threat hunting DNS-based persistence mechanisms. It detects unauthorized changes such as DNS hijacking, dangling CNAME records enabling subdomain takeover, wildcard DNS abuse, or unauthorized NS delegation modifications. By utilizing passive DNS history (e.g., SecurityTrails API) and auditing cloud DNS logs (Route53, Azure, Cloudflare), users can identify persistent attack vectors that survive traditional remediation efforts.

A comprehensive guide to identifying covert data exfiltration channels using Zeek logs. This technique analyzes DNS traffic for high-entropy subdomains, unusually long query lengths, abnormal record types (TXT/NULL), and excessive query volume, which are key indicators of malicious DNS tunneling or command-and-control (C2) activity.

This skill detects command-and-control (C2) traffic hidden using domain fronting techniques. It analyzes proxy and web gateway logs by comparing discrepancies between the TLS SNI field and the HTTP Host header. By inspecting these mismatches and correlating them with known CDN provider properties, it helps security analysts hunt for sophisticated network evasion tactics.

This tool analyzes Windows Event Logs (ID 4688, Sysmon ID 1) and WMI-Activity Operational events to detect suspicious lateral movement. It specifically hunts for WmiPrvSE.exe spawning child processes (like cmd.exe or powershell.exe) or identifying WMI event subscriptions, which are common indicators of remote code execution and persistence.

A specialized technique for proactive threat hunting, designed to detect adversary activity that abuses legitimate cloud services (like Azure, AWS, GCP, and SaaS platforms). It focuses on identifying 'living off the cloud' tradecraft, such as using cloud APIs for command-and-control (C2), staging data, or exfiltrating information while blending into normal network traffic.

This guide provides a systematic methodology for proactive threat hunting targeting Living-off-the-Land Binaries (LOLBins). Attackers misuse legitimate, signed system binaries (like certutil or rundll32) to execute malicious payloads or download files, effectively bypassing traditional security controls and application allowlisting. Use this framework when establishing EDR/SIEM detection rules or when investigating advanced, fileless defense-evasion techniques.

This advanced skill guides users on hunting for Living Off the Land Binaries (LOLBins) abuse by analyzing endpoint process creation logs. It focuses on detecting malicious use of legitimate Windows binaries (like certutil or mshta) for defense evasion or data exfiltration, mapping techniques to MITRE T1218. Ideal for threat hunters and security teams building advanced detection rules.