extracting-memory-artifacts-with-rekall

# Extracting Memory Artifacts with Rekall ## When to Use - When performing authorized security testing that involves extracting memory artifacts with rekall - When analyzing malware samples or attack artifacts in a controlled environment - When conducting red team exercises or penetration testing engagements - When building detection capabilities based on offensive technique understanding ## Prerequisites - Familiarity with security operations concepts and tools - Access to a test or lab environment for safe execution - Python 3.8+ with required dependencies installed - Appropriate authorization for any testing activities ## Instructions Use Rekall to analyze memory dumps for signs of compromise including process injection, hidden processes, and suspicious network connections. ```python from rekall import session from rekall import plugins # Create a Rekall session with a memory image s = session.Session( filename="/path/to/memory.raw", autodetect=["rsds"], profile_path=["https://github.com/google/rekall-profiles/raw/master"] ) # List processes for proc in s.plugins.pslist(): print(proc) # Detect injected code for result in s.plugins.malfind(): print(result) ``` Key analysis steps: 1. Load memory image and auto-detect profile 2. Run pslist and psscan to find hidden processes 3. Use malfind to detect injected/hollowed code in process VADs 4. Examine network connections with netscan 5. Extract suspicious DLLs and drivers with dlllist/modules ## ...