Skill UI

This technique exploits vulnerable Active Directory Certificate Services (AD CS) HTTP web-enrollment endpoints (ESC8) that lack Extended Protection for Authentication (EPA). By coercing a Domain Controller (DC) to authenticate and relaying the captured NTLM credentials, an attacker can obtain a DC machine certificate. This certificate is then used via PKINIT to request a TGT, recover the DC's NT hash, and ultimately achieve full domain compromise via DCSync. Essential for advanced AD red-teaming simulations.

KAPE (Kroll Artifact Parser and Extractor) is a specialized, rapid triage tool for incident response. It collects specific, volatile forensic artifacts (like registry hives, event logs, and browser data) from compromised Windows systems. It is designed for remote, at-scale artifact collection when full disk imaging is impractical, enabling analysts to quickly build a defensible, parseable dataset for initial investigation and containment.

This skill provides methods to verify artifact signatures and SLSA provenance using tools like cosign and slsa-verifier. It is crucial for building secure CI/CD pipelines, detecting supply-chain attacks (e.g., tampering, compromised builds), and ensuring that deployed artifacts originate from trusted sources and build environments. Key features include enforcing keyless OIDC identity pinning and validating SLSA Build Levels.

The Anti-Deception Harness detects manipulative user prompts, such as manufactured urgency, pressure to validate, or undue reliance on authority. It calls an external tool to provide a structured scaffold detailing integrity procedures and counter-evidence, ensuring responses are honest and robust, preventing compromised or sycophantic answers. Ideal for high-stakes decision support.

This specialized skill is designed for in-depth security and forensic analysis of Windows secrets protected by DPAPI. It maps the entire lifecycle of encrypted credentials, tracing the flow from the initial protected blob or masterkey through the context unwrapping (e.g., user logon, machine context, domain backup keys) to the specific service that finally accepts the plaintext secret. Use this to prove the decisive access edge in a complex compromise scenario.

A highly specialized skill for advanced security analysis, designed to trace complex Kerberos delegation chains (including constrained, unconstrained, and RBCD). Use this skill to pinpoint the exact delegation edge, analyze ticket minting (S4U), and prove the effective privilege gained by a target service, going beyond simple domain compromise statements.

This specialized skill is designed for deep forensic analysis of compromised Linux environments, specifically tracing the sequence of credential usage (tokens, keys, service accounts) that leads to lateral movement or privilege escalation. It helps map the decisive path from a recovered artifact to an accepted replay mechanism, identifying the exact trust edge or capability abuse responsible for the host-to-host pivot.

This advanced skill specializes in analyzing complex mail-related abuse scenarios, including OAuth consent flows, forwarding rule exploitation, shared mailbox access, and transport rule manipulation. It is used in forensic investigations to trace message artifacts, identify persistence mechanisms, and prove privilege escalation or data exfiltration following a compromise.

A highly specialized, downstream skill for advanced threat analysis. This tool is used to recover hidden configurations, decode C2 (Command and Control) parameters, unpack staged payloads, and extract Indicators of Compromise (IOCs) from complex malware samples. It focuses on identifying the exact decode chains—including compression, encoding, and crypto steps—and linking recovered fields to observed behavioral outcomes within a sandbox environment.

A specialized downstream skill for analyzing security vulnerabilities in complex agentic systems. This tool is designed for red teaming and penetration testing, focusing on detecting prompt injection, retrieval poisoning, memory contamination, planner drift, and tool boundary abuse within multi-step LLM chains. Use when proving how untrusted inputs compromise system integrity.

This guide provides a systematic framework for authorized email security reviews. It covers advanced phishing analysis, including deep dives into email headers, assessing SPF/DKIM/DMARC compliance, identifying Business Email Compromise (BEC) patterns, and researching mailbox token abuse. It is essential for incident response, threat intelligence, and security architecture review.

A comprehensive guide covering the entire lifecycle of malware analysis, from initial triage and deep static reverse engineering to automated sandboxing and behavioral monitoring. It details a multi-stage workflow that includes extracting Indicators of Compromise (IOCs), generating detection rules using YARA and Sigma, and identifying anti-analysis techniques. Ideal for threat intelligence researchers and incident responders.