Skill UI

A comprehensive guide detailing the systematic workflow for analyzing malicious Linux ELF binaries. It covers essential techniques including static analysis (using readelf, elftools), dynamic tracing (strace, ltrace), and deep reverse engineering (GDB) of various threats like botnets, cryptominers, and ransomware targeting Linux environments, containers, and cloud infrastructure.

This technique exploits the Active Directory attribute `msDS-KeyCredentialLink` by injecting attacker-controlled public keys (Shadow Credentials). Using tools like pyWhisker and Certipy, the attacker forces the target account to register a new key. Subsequently, by leveraging PKINIT (Public Key Cryptography for Initial Authentication in Kerberos), the attacker can obtain a service ticket and recover the target's NT hash, achieving a stealthy, password-less, complete account takeover.

ROADtools is a comprehensive offensive toolkit for Microsoft Entra ID (Azure AD). It consists of ROADrecon for offline directory enumeration (users, groups, roles, policies) and roadtx for advanced token acquisition and exchange. It is designed for authorized red-teaming and penetration testing to discover attack paths and pivot tokens across various Microsoft resources.

A comprehensive security auditing tool designed to identify over-permissive Role-Based Access Control (RBAC) roles and potential service-account token abuse paths within a Kubernetes cluster. It systematically reviews cluster bindings, effective permissions, and common escalation primitives using advanced tools like `kubectl auth can-i`, `rbac-police`, and `rakkess`, ensuring adherence to the principle of least privilege.

This skill provides comprehensive security auditing for Model Context Protocol (MCP) servers and their associated tool metadata. It is designed to detect sophisticated supply chain attacks, including tool poisoning (indirect prompt injection), Server-Side Request Forgery (SSRF), tool shadowing, and unauthenticated exposure. It is essential for securing AI agent stacks before integrating new tools or during CI/CD processes.

This guide details the architecture and deployment of resilient Command and Control (C2) redirectors. By using tools like Nginx and Apache, operators establish an intermediary layer that filters beacon traffic based on malleable C2 profiles. This setup protects the true team server from detection, takedown, and analysis (OPSEC), enabling advanced techniques like domain fronting and traffic shaping for low attribution.

This skill details how to forcefully coerce a target machine account (e.g., a Domain Controller) to authenticate to an attacker-controlled relay. It combines tools like Coercer and PetitPotam, leveraging various RPC protocols (MS-EFSR, MS-RPRN) to achieve NTLM relay. This technique ultimately enables domain compromise by forcing authentication into services like AD CS Web Enrollment (ESC8).

This skill provides comprehensive tools to detect data poisoning and model backdooring attacks throughout the machine learning lifecycle. It checks data provenance, detects label-flip anomalies (using Cleanlab), and analyzes model activations and spectra (using ART) to identify malicious triggers or compromised weights, ensuring ML supply chain integrity.

This skill provides advanced threat hunting logic for Microsoft Sentinel/Log Analytics. It analyzes both AADGraphActivityLogs and MicrosoftGraphActivityLogs to detect the unique fingerprints and behavioral patterns left by offensive Entra ID tools (like ROADtools, AADInternals, and AzureHound). It detects specific User-Agent strings and characteristic endpoint-sweep patterns, even when tool authors attempt to spoof headers, helping SOC teams identify valid account-based adversary activity (MITRE T1078.004).

This skill provides a comprehensive, cross-platform workflow for auditing UEFI firmware security. It detects advanced threats like bootkits (e.g., BlackLotus, Bootkitty) and Secure Boot bypasses by verifying the integrity of the platform's trust chain. Key checks include confirming Secure Boot status, assessing the currency and application of DBX revocations, and examining the protection of critical EFI variables using specialized tools. Essential for hardware security assessments and forensic investigation.

This skill detects malicious, misspelled, or brand-jacked package names (typosquatting) across major ecosystems (npm, PyPI, crates.io). It uses advanced techniques like edit-distance and keyboard-proximity analysis, powered by tools like typomania and OSSGadget, to flag potential supply chain attacks *before* a dependency is installed. It is essential for implementing robust CI/CD security gates and proactive dependency screening.

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.