Skill UI

This skill demonstrates how to exploit the Windows Data Protection API (DPAPI) to extract sensitive, encrypted secrets, including saved user credentials, browser logins, RDP passwords, and vault data. It covers online, offline, and domain-wide decryption techniques, essential for post-exploitation red team engagements and penetration testing.

Hayabusa is a Sigma-based tool for fast digital forensics and incident response. It analyzes multiple Windows EVTX event logs, applying a comprehensive library of Sigma rules to detect suspicious activity. The output is a single, chronologically ordered timeline, complete with severity levels, MITRE ATT&CK mapping, and evidence summaries, streamlining the triage process for security analysts.

Chainsaw is a fast, Rust-based tool for digital forensics and threat hunting. It enables analysts to rapidly perform Sigma rule checks and keyword searches across collected Windows Event Logs (.evtx) and specialized artifacts (like shimcache and SRUM). Ideal for first-response and offline analysis, it provides detection capabilities without needing a SIEM ingestion pipeline, allowing quick hypothesis testing in the field or air-gapped environments.

NetExec is a powerful, protocol-oriented tool for penetration testing, designed for assessing and exploiting Windows and Active Directory environments. It facilitates lateral movement by authenticating over protocols like SMB, WinRM, LDAP, and MSSQL. Key functions include password spraying, comprehensive network enumeration, command execution, and dumping critical credentials (SAM, LSA, NTDS) during post-exploitation phases.

This comprehensive tool suite provides high-fidelity parsers for key Windows artifacts, including MFT, Registry hives, Prefetch files, and ShellBags. Designed for digital forensics and incident response, it converts raw system evidence into structured CSV/JSON formats. The output is optimized for feeding into Timeline Explorer, enabling analysts to build comprehensive, correlated timelines and establish a clear chain of events.

KAPE is a powerful, Windows-native triage tool used for Digital Forensics and Incident Response (DFIR). It executes in two phases: 'Targets' collect raw forensic artifacts (like registry hives, event logs, and prefetch files) from live systems, while 'Modules' parse this collected data into normalized, analyst-ready CSV/JSON formats. It enables fast, defensible, and scalable artifact collection, especially when full disk imaging is impractical.