Skill UI

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.

A comprehensive guide for analyzing firmware images from embedded systems, IoT devices, routers, and specialized components like UEFI/BIOS. This skill covers advanced techniques including filesystem extraction, binary reverse engineering (using Ghidra/IDA), rootkit detection, and deep forensic analysis to uncover backdoors, implants, and supply chain compromises. Essential for cybersecurity professionals investigating compromised hardware.

This skill provides a comprehensive framework for performing privilege escalation assessments post-initial compromise. It guides testers in identifying paths from low-privilege access to root or SYSTEM-level control on both Linux and Windows operating systems. Techniques covered include abusing SUID binaries, exploiting misconfigured services, leveraging kernel vulnerabilities, and harvesting credentials.

This skill covers advanced techniques used in red teaming and penetration testing to elevate privileges from a low-level user to root access on a compromised Linux system. It details how to enumerate and exploit various vectors, including SUID/SGID binaries, misconfigured sudo rules, kernel vulnerabilities (e.g., Dirty Pipe), Cron job abuse, and abusing system services. Essential for comprehensive security assessments.

This guide details how to analyze comprehensive Zeek network logs (conn.log, smb_files.log, ntlm.log, dce_rpc.log, etc.) to detect advanced attacker techniques. It specifically targets indicators of compromise related to lateral movement, such as SMB admin share access, NTLM account spraying, and remote service execution (DCE/RPC patterns). It is a critical network forensics tool for post-incident investigation.

A comprehensive guide detailing attack methodologies for Z-Wave smart home networks. Techniques covered include sniffing during inclusion (S0/S2), exploiting key derivation flaws, performing replay attacks on unauthenticated nodes, and crucial hub compromise (pivoting) to gain full control over the entire mesh network. Essential reading for IoT penetration testing.

This expert playbook details advanced techniques for establishing secure network tunnels and pivoting through compromised hosts. It covers various methods like SSH (Local, Remote, Dynamic, Jump), Chisel, Ligolo-ng, socat, and ProxyChains. Use this guide to bypass network restrictions, establish persistent access, and perform multi-layered lateral movement within restricted environments.

This framework provides comprehensive detection capabilities for compromised cloud credentials across major platforms including AWS, Azure, and GCP. It analyzes critical threat indicators such as anomalous API activity, impossible travel patterns (impossible login locations), and unauthorized resource provisioning. Designed for incident response, security monitoring, and building robust detection rules to mitigate account takeover and credential abuse.

This skill simulates high-impact container breakout techniques, demonstrating how to achieve root compromise on the underlying host operating system. It covers exploiting misconfigurations (e.g., privileged pods, hostPath mounts, exposed Docker sockets) and leveraging known vulnerabilities in runC/containerd, making it essential for authorized penetration testing and assessing the blast radius of a compromised microservice.