Skill UI

A proactive, hypothesis-driven skill designed to hunt for Advanced Persistent Threats (APT) within complex enterprise environments. It analyzes endpoint telemetry, network logs, and memory artifacts using frameworks like MITRE ATT&CK. Use this skill when investigating anomalous behavior flagged by UEBA, conducting scheduled threat sprints, or validating exposure to known TTPs using tools like Velociraptor and osquery.

This skill provides structured methods for detecting credential stuffing attacks by analyzing authentication logs. It focuses on identifying complex patterns such as login velocity anomalies, high IP diversity, password spray techniques, and suspicious geographical distributions of failed logins. It is essential for SOC analysts conducting threat hunting or building robust detection rules against account takeover attempts.

A comprehensive tool for security analysts to hunt for malicious PowerShell activity. It analyzes Windows Event Log (EVTX) files by parsing Script Block Logging (Event 4104), Module Logging (4103), and process creation events. Detects obfuscated commands, AMSI bypass attempts, encoded payloads, and credential dumping techniques crucial for incident response and threat hunting.

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.

Detects data-staging activity (MITRE ATT&CK T1074) by analyzing EDR/Sysmon process-creation and file-system telemetry. This skill monitors for archive creation (7-Zip, RAR, tar), unusual file consolidation from multiple directories, and suspicious activity in temporary or hidden paths. It is essential for threat hunting, building robust detection rules, and validating security monitoring coverage against data exfiltration attempts.

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 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 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.