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docker_file_analysis/data/generated/cheatsheets/volatility3.cheat
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tobias f3ccc09c3d Add FOR610 tool/workflow knowledge base and data pipeline
Build comprehensive malware analysis knowledge base from 3 sources:
- SANS FOR610 course: 120 tools, 47 labs, 15 workflows, 27 recipes
- REMnux salt-states: 340 packages parsed from GitHub
- REMnux docs: 280+ tools scraped from docs.remnux.org

Master inventory merges all sources into 447 tools with help tiers
(rich/standard/basic). Pipeline generates: tools.db (397 entries),
397 cheatsheets with multi-tool recipes, 15 workflow guides, 224
TLDR pages, and coverage reports.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-28 17:38:15 +01:00

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# volatility3
# Memory forensics framework — analyze RAM dumps to find malware, hidden processes, network connections, and injected code
# Docs: https://docs.remnux.org/discover-the-tools/perform+memory+forensics
% memory, forensics, volatility, incident-response
# Basic usage
vol3 -f <memory_dump> windows.info
# Process input file
vol3 -f <memory_dump> windows.pslist
# Process input file
vol3 -f <memory_dump> windows.pstree
# Process input file
vol3 -f <memory_dump> windows.netscan
# Process input file
vol3 -f <memory_dump> windows.malfind
# Process input file
vol3 -f <memory_dump> windows.dlllist --pid <PID>
# Process input file
vol3 -f <memory_dump> windows.dumpfiles --pid <PID>
# --- Recipes (multi-tool chains) ---
# >> Quick Memory Dump Triage
# Identify OS
vol3 -f <dump> windows.info
# Process tree (spot anomalies)
vol3 -f <dump> windows.pstree
# Network connections
vol3 -f <dump> windows.netscan
# Injected code detection
vol3 -f <dump> windows.malfind