What problem does it solve? During incident response and breach investigations, analysts need to determine which credentials were exposed in a compromised system's memory. This Skill provides a structured workflow for extracting NTLM hashes, Kerberos tickets, plaintext passwords, DPAPI keys, and cloud tokens from memory dumps so teams can scope credential compromise and plan resets. ## Core Features & Use Cases - Hash and Secret Extraction: Dump SAM database hashes, LSA secrets, and cached domain credentials using Volatility 3 plugins (hashdump, lsadump, cachedump). - LSASS Analysis: Dump LSASS process memory and parse it with pypykatz to recover NTLM hashes, Kerberos TGT/TGS tickets, WDigest plaintext passwords, and DPAPI master keys. - Token and Cloud Credential Discovery: Search process memory strings for AWS access keys, Azure tokens, session cookies, and API keys. - Use Case: After a ransomware incident, analyze a pre-encryption memory dump to determine whether domain admin credentials or the krbtgt hash were compromised, then produce a prioritized password reset and ticket revocation plan. ## Quick Start Analyze the memory dump at /cases/case-2024-001/memory/memory.raw and extract all credentials, Kerberos tickets, and cloud tokens into a compromise assessment report.