Skill UI

This skill provides a comprehensive workflow to extract Indicators of Compromise (IOCs) from malware samples and analysis reports. It covers file hashes (SHA256, MD5), network artifacts (IPs, domains, URLs from strings and PCAPs), and host-based indicators (registry keys, file paths, mutexes) from sandbox reports. It is essential for threat intelligence sharing, building blocklists, and creating detection signatures (YARA, Snort).

This tool leverages the Rekall memory forensics framework to conduct deep analysis of memory dumps. It is designed to detect sophisticated threats such as process hollowing, injected code via VAD anomalies, hidden operating system processes, and rootkit presence. It applies key forensic plugins (pslist, malfind, vadinfo) essential for rigorous incident response and malware analysis.

This guide provides comprehensive steps to harden the Docker daemon configuration. It covers essential security controls like user namespace remapping, disabling inter-container communication (ICC), implementing TLS authentication, and adopting rootless mode. Implementing these measures significantly reduces the attack surface and mitigates risks associated with container breakouts and privilege escalation, aligning with CIS benchmarks.

This skill automates the hardening of Linux endpoints (Ubuntu, RHEL, CentOS) by implementing industry-standard security best practices guided by CIS Benchmarks. It systematically secures various layers, including filesystem permissions, network parameters (sysctl), SSH configuration, user access controls (PAM), and integrates deep auditing using auditd and OpenSCAP. It is essential for achieving compliance with standards like PCI DSS, HIPAA, and SOC 2.

This skill guides the security hardening of Windows endpoints (10/11, Server 2019/2022) using established CIS Benchmarks. It provides a comprehensive workflow for establishing secure organizational baselines, configuring Group Policy Objects (GPOs), and enforcing security controls across critical areas like password policies, audit logs, and firewall rules. It is essential for achieving compliance with standards like PCI DSS, HIPAA, and SOC 2.

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 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 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.

A comprehensive guide and detection methodology for identifying covert communication channels utilizing DNS records. This technique analyzes Zeek dns.log for indicators such as high-entropy subdomains, excessive query volume, unusually long query lengths, and abnormal record type distributions, which suggest data exfiltration or Command and Control (C2) activity.

This guide provides a structured methodology for proactively hunting adversaries who establish persistence using Windows Scheduled Tasks (T1053). It outlines the necessary prerequisites (EDR, SIEM, Sysmon) and a comprehensive workflow—from hypothesis formulation to threat correlation—for detecting suspicious task creation, unusual scheduling patterns, and attacker TTPs during incident response or red teaming.

Detects persistence mechanisms (T1547.001) by monitoring critical Windows startup directories. This skill analyzes autoruns entries, monitors for real-time file system changes using Python watchdog, and examines file metadata (like creation timestamps and digital signatures) to identify suspicious implants and unauthorized execution points.

A proactive methodology for detecting signs of compromise by analyzing outbound network traffic. This technique focuses on identifying anomalous patterns, such as connections to rare destinations, non-standard ports (T1571), or unusual connection frequencies, which often indicate Command and Control (C2) activity or data exfiltration.