memory-forensics
Skill0 starsChanged 13 days agoMITView on GitHub
Analyze Windows and Linux memory images with Volatility 3 to find malicious processes, injected code, network connections, command lines, persistence and credential-theft artefacts. Use when a memory dump (.raw, .lime, .vmem, hiberfil, crash dump) is available or when fileless malware or process injection is suspected.
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5 other projects use a version of this.
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- saivarun3407/DFIR-AItheir own version, first seen Oct 15, 2026
- xfstudio/skillstheir own version, first seen Oct 13, 2026
- Samueladewole/claude-skillstheir own version, first seen Oct 13, 2026
- ai4brands-design/claude-skillstheir own version, first seen Mar 22, 2026
- CodeWithBehnam/cc-docstheir own version, first seen Mar 15, 2026
Other versions5 projects use a version of this.
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Wrote their own version · 5
- xfstudio/skills★ 9same name
- ai4brands-design/claude-skills★ 2same name
- CodeWithBehnam/cc-docs★ 2same name
- saivarun3407/DFIR-AI★ 0same name
- Samueladewole/claude-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
Files
Memory Forensics (Volatility 3)
Setup
pip install volatility3 # or clone https://github.com/volatilityfoundation/volatility3
vol -f mem.raw windows.info # confirms symbols/profile load; Linux needs matching ISF symbolsLinux images need an ISF symbol file for the exact kernel (dwarf2json from vmlinux with debug symbols).
Triage sequence (Windows)
| Step | Plugin | Look for |
| Processes | windows.pslist, windows.psscan, windows.pstree | Hidden processes (in psscan not pslist), wrong parents (e.g. lsass.exe not child of wininit.exe; svchost.exe not child of services.exe), misspelled names, odd paths |
| Command lines | windows.cmdline | Encoded PowerShell, LOLBins, paths in %TEMP%/AppData |
| Network | windows.netscan | Connections from processes that shouldn't talk (e.g. notepad.exe), listeners on unusual ports |
| Injection | windows.malfind | PAGE_EXECUTE_READWRITE private regions with MZ header or shellcode |
| Modules | windows.dlllist, windows.ldrmodules | DLLs from user-writable paths; unlinked modules (InLoad/InInit/InMem = False) |
| Services | windows.svcscan | Services with binaries in unusual paths or recently added |
| Handles/mutex | windows.handles --pid N | Known malware mutexes, handles to lsass.exe |
| Registry | windows.registry.hivelist, windows.registry.printkey --key "Software\Microsoft\Windows\CurrentVersion\Run" | Persistence |
| Files | windows.filescan, windows.dumpfiles --virtaddr 0x... | Recover binaries/scripts for analysis |
| Process dump | windows.pslist --pid N --dump, windows.memmap --pid N --dump | Feed to YARA/static analysis |
YARA over memory: vol -f mem.raw windows.vadyarascan --yara-file rules.yar (plugin name/options vary by version — check vol -h).
Linux
linux.pslist, linux.pstree, linux.bash (shell history from memory), linux.lsof, linux.sockstat, linux.malfind, linux.check_modules / linux.lsmod (hidden kernel modules), linux.elfs.
Interpretation
- Baseline parent/child relationships: SANS "Hunt Evil" poster is a practical reference.
- Malfind has false positives (JIT engines: .NET, browsers, Java). Confirm with a dump + YARA/disassembly.
- Correlate memory findings with disk timeline and EDR telemetry; record PID, process create time and virtual addresses.
Output template
Image: <file> sha256 <> OS: <build> Captured: <UTC>
Suspicious processes: <pid> <name> <ppid> <path> <reason>
Injection: <pid> <vad addr> <protection> <evidence>
Network: <pid> <local> → <remote> <state>
Persistence: <>
Extracted artefacts: <file> sha256 <>
Confidence & next steps: <>Safety
Analyse on an isolated analysis workstation. Dumped executables are live malware — store in password-protected archives (infected) and never execute outside a sandbox.
Related skills
forensic-imaging, windows-artifacts, yara-authoring, credential-theft-detection, pe-static-analysis
References
- Volatility 3 docs: https://volatility3.readthedocs.io/
- Volatility 3 repository: https://github.com/volatilityfoundation/volatility3
- SANS DFIR "Hunt Evil" poster: https://www.sans.org/posters/hunt-evil/
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