Skill UI

This skill monitors dark web forums, ransomware leak sites, and paste sites for early warning intelligence. It tracks organizational assets, leaked credentials, and threat actor communications to enrich incident response and establish proactive monitoring coverage. Essential for cybersecurity teams performing deep OSINT investigations.

This guide details the process of performing Active Directory reconnaissance using BloodHound and SharpHound. It leverages graph theory to visualize hidden trust relationships, group memberships, and ACLs, mapping the shortest attack paths from a low-privilege compromised user all the way to Domain Admin rights. This is essential for red-teaming, security auditing, and identifying critical misconfigurations.

This skill utilizes Impacket to perform comprehensive audits and simulated attacks on Active Directory forest trust relationships. It enumerates trust boundaries, analyzes SID filtering configurations, detects SID history abuse vectors, and assesses inter-realm Kerberos ticket risks. Ideal for red-teaming multi-forest environments or performing deep security audits to find cross-forest privilege escalation paths.

A comprehensive guide for authorized red-team assessments using the Pacu framework. This process details how to enumerate IAM policies, scan for privilege escalation paths, test data access across services (S3, DynamoDB), and simulate lateral movement to determine the blast radius of compromised AWS credentials.

LaZagne is an open-source post-exploitation tool utilized by red teams to harvest stored credentials from compromised endpoints. It supports Windows, Linux, and macOS, extracting passwords from browsers (Chrome, Edge), databases (MySQL, SQLite), system vaults (DPAPI, LSA), and various applications. It is crucial for privilege escalation and lateral movement during authorized security assessments.

This skill provides a comprehensive framework for vulnerability prioritization by combining three crucial data points: CISA's Known Exploited Vulnerabilities (KEV) catalog (confirming real-world exploitation evidence), EPSS scores (predicting exploitation probability), and CVSS metrics (assessing intrinsic severity). It builds a multi-factor prioritization engine to determine the most critical CVEs for immediate remediation, assisting security teams in managing large vulnerability backlogs efficiently.

EvilGinx3 is an advanced Adversary-in-the-Middle (AiTM) framework designed for red teaming simulations. It goes beyond traditional credential harvesting by acting as a transparent proxy to intercept the entire authentication flow, including session cookies and Multi-Factor Authentication (MFA) tokens. This capability allows security professionals to assess the robustness of an organization's security posture against sophisticated account takeover attacks.

This comprehensive guide outlines a structured workflow for investigating insider threats—incidents where authorized employees or contractors misuse their access to steal data or sabotage systems. It integrates DLP alerts, User Behavior Analytics (UBA), and digital forensics, emphasizing mandatory collaboration between Legal, HR, and Security teams to build an admissible, evidence-based case.

Kerberoasting is a post-exploitation technique used in Active Directory environments. It targets service accounts by requesting encrypted Kerberos TGS tickets for accounts with Service Principal Names (SPNs). These tickets are then cracked offline using tools like hashcat to recover the service account's NTLM credentials. This skill is intended only for authorized red team engagements and penetration testing to assess AD privilege escalation risks.

This skill details advanced techniques for performing stealthy lateral movement across Windows domains using Windows Management Instrumentation (WMI). It covers the abuse of native tools like Impacket's wmiexec.py and CrackMapExec, enabling remote command execution, Pass-the-Hash attacks, and fileless techniques, crucial for authorized red team engagements and security auditing.

A comprehensive guide for performing deep network forensics using Wireshark and tshark. This technique analyzes raw PCAP/PCAPNG files captured during security incidents to reconstruct network events, identify data exfiltration methods, extract sensitive artifacts (credentials, files), detect Command-and-Control (C2) communications, and pinpoint network indicators of compromise (IOCs). Ideal for digital forensics and incident response teams.

Open Source Intelligence (OSINT) is the critical first phase of red team engagements. This guide details how to systematically collect publicly available data about a target organization. It covers mapping network assets (domains, IPs), identifying personnel for social engineering, discovering credential leaks, and mapping the entire technology stack. Use this skill during authorized security assessments to build comprehensive attack surface maps and initial access strategies.