Skill UI

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 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 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.

This skill helps detect NTLM relay attacks (T1557.001) by analyzing Windows Security Event ID 4624 (logon type 3) for NTLMSSP usage. It flags critical anomalies such as IP-to-hostname mismatches, evidence of LLMNR/NBT-NS poisoning, rapid cross-domain authentication, and verifies SMB signing status. It is essential for proactive threat hunting and security incident investigation in Active Directory environments.

This skill guides proactive security auditing and threat hunting for registry-based persistence artifacts (MITRE T1547) in Windows environments. It focuses on identifying mechanisms such as Run/RunOnce keys, Winlogon modifications, IFEO debugger injection, and COM hijacking to detect malware autostart techniques and scope compromises during incident response.

This skill detects persistence mechanisms by monitoring Windows startup directories for suspicious file creation (T1547.001). It utilizes real-time file system monitoring via Python watchdog, cross-references Autoruns entries, and analyzes file metadata to identify implants that survive system reboots. Essential for threat hunting and validating security monitoring coverage.

A comprehensive guide for conducting hypothesis-driven threat hunting against supply chain compromises (T1195). This skill focuses on querying SIEM/EDR logs to detect indicators of trojanized software updates, compromised dependencies, unauthorized code modifications, and tampered build artifacts. It is crucial when investigating suspected vendor compromises or scoping a build pipeline breach, requiring advanced knowledge of logging systems and threat intelligence.

Conduct hypothesis-driven threat hunting for Command-and-Control (C2) activity (T1071). This skill guides the analysis of SIEM/EDR network telemetry to detect anomalous outbound traffic, rare destination IPs, non-standard ports, and unusual connection frequencies, helping identify beaconing or data exfiltration attempts. Essential for proactive defense and incident response.

This guide provides a structured methodology for hypothesis-driven threat hunting focused on detecting web shell deployment (T1505.003) on internet-facing servers. It analyzes file creation in web directories, suspicious child-process generation from web server processes, and anomalous HTTP request patterns. Use this during incident response, proactive security assessments, or when EDR/SIEM alerts indicate web server process anomalies.

This skill provides a comprehensive guide to implementing application whitelisting using Windows AppLocker. It drastically restricts unauthorized software execution (malware, shadow IT) on Windows endpoints by enforcing strict application control policies. Use this method to meet critical compliance requirements (such as PCI DSS or NIST standards), block common attack vectors like LOLBins, and significantly reduce the overall attack surface in high-security environments.

Explores how to implement AWS IAM Permission Boundaries to cap the maximum permissions granted to users or roles. This advanced security feature allows security teams to safely delegate IAM management to developers for self-service while strictly enforcing the principle of least privilege and preventing privilege escalation in cloud environments.