memory-forensics
Skill0 starsChanged 5 months agoApache-2.0View on GitHub
Cross-OS memory analysis using Volatility 3. Use when a memory dump (raw, AFF, EWF, LiME) is provided. Encodes Memory Forensics Cheat Sheet v2.1 and Rekall acquisition guidance.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- kaandgnsh/Claude-Bluetheir own version, first seen Nov 1, 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.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- xfstudio/skills★ 9same name
- ai4brands-design/claude-skills★ 2same name
- CodeWithBehnam/cc-docs★ 2same name
- kaandgnsh/Claude-Blue★ 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.
In this repository13 other files it gives its agents.
- accuracy-reportSkill
- containment-recommenderSkill
- evidence-pinSkill
- exec-reportSkill
- gap-acknowledgmentSkill
- ir-narrativeSkill
- linux-triageSkill
- macos-triageSkill
- remediation-plannerSkill
- self-correctSkill
- threat-huntingSkill
- triage-orchestratorSkill
- windows-triageSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 68
Do NOT report a process as "malicious" without an explicit IOC (signature match, hash match, anomalous behavior chain).
- Very specific: line 69
If malfind hits but the region is benign (signed mapped image, JIT), tag as uncertain not confirmed.
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Memory Forensics
Reference: SANS DFIR Cheat Sheet Memory Forensics v2.1 (pp. 36-37) + Rekall pp. 38-40.
Sequencing (apply per OS)
Windows
windows.info→ kernel build, layout, profilewindows.pslist+windows.psscan+windows.pstree→ process universe; diff to spot hiddenwindows.cmdline+windows.envars→ invocation contextwindows.dlllist+windows.ldrmodules→ injected DLLswindows.malfind→ injected code regionswindows.netscan+windows.netstat→ C2windows.handles+windows.filescan+windows.mutantscan→ IOCswindows.svcscan→ suspicious serviceswindows.registry.printkeyfor AutoStart, ImageFileExecutionOptions, etc.windows.timeliner→ timeline integrationwindows.dumpfiles --pid <PID>for every cloud-sync / messaging / browser / mail process present. This is mandatory whenever a finding might claim "we can't tell from memory" about an artifact those processes touch. The high-value handle registry atorchestrator/src/mh_orchestrator/handle_dump_registry.pyenumerates patterns to grep the dumpfiles output for: OneDrive (*.aodl,downloads3.txt,Downloader_*.log, per-user GUID.dat), Drive FS (drive_fs.db), Dropbox (filecache.dbx), Slack (local_log_session.json, Cache), Outlook (*.ost/.nst,RoamCache), Chrome/Edge (History,Cookies,Web Data,Sessions/,Tabs/), Firefox (places.sqlite,sessionstore.jsonlz4).
macOS
mac.list_filesmac.pslist+mac.psscan+mac.psauxmac.lsofmac.malfindmac.netstatmac.dyld_inserted_librariesmac.kextstat
Linux
linux.pslist+linux.pstree+linux.psaux+linux.psscanlinux.bash(recover bash history from memory)linux.lsoflinux.malfindlinux.sockstatlinux.iomemlinux.elfslinux.check_modules+linux.lsmod(rootkit indicator)
High-Confidence Pin Format
{
"artifact": "memory.dmp",
"tool": "windows.malfind",
"pid": 4216,
"process_name": "explorer.exe",
"vad_start": "0x7ff812340000",
"vad_end": "0x7ff812350000",
"protection": "PAGE_EXECUTE_READWRITE",
"first_bytes_hex": "4d5a90000300000004000000ffff0000",
"raw_excerpt": "..."
}Confirmation Patterns
- Process injection:
malfindhit +ldrmodulesorphan +handlesto suspicious DLL =confirmed - C2 connection:
netscansocket + matching process inpslist+cmdlinecontaining exec args =confirmed - Hidden process: in
psscanbut notpslist(orpstree) =confirmed(DKOM rootkit indicator)
Anti-Hallucination Rules
- Do NOT report a process as "malicious" without an explicit IOC (signature match, hash match, anomalous behavior chain). Suspicious ≠ malicious.
- If
malfindhits but the region is benign (signed mapped image, JIT), tag asuncertainnotconfirmed. - Symbol table problems: if Volatility errors with "no profile" or "broken layer", record as
event:tool_failure. Do not invent findings to fill the gap.
MCP Tool Wiring (Sub-Plan 04)
The memory_volatility MCP tool wraps Volatility 3 CLI. Plugin choices are constrained to a frozenset allowlist defined in mcp-server/src/protocol_sift_mcp/tools/memory.py:
Windows (Volatility 3 windows.*)
windows.pslist— process list from EPROCESS doubly-linked listwindows.psscan— process pool scan (catches hidden/unlinked)windows.malfind— process VAD scan for injected/executable RWX regionswindows.netscan— TCP/UDP socket scan
Linux (Volatility 3 linux.*)
linux.pslist— task_struct walklinux.bash— recover bash history from heaplinux.malfind— RWX VMA scanlinux.sockstat— open sockets by struct sock
macOS (Volatility 3 mac.*)
mac.pslist— kernel proc listmac.malfind— RWX page scanmac.netstat— connection table walk
Invocation Example
from protocol_sift_mcp.tools.memory import memory_volatility
procs = memory_volatility("/input/memory.raw", "windows.pslist")
# returns list[dict] — each dict is a parsed Volatility rowImage path is sandbox-asserted (assert_input_path). Subprocess timeout 300s. MemoryToolError on missing vol binary, non-zero exit, or non-JSON output.
Symbol-Table Note
The DFRWS 2008 fixture is a Linux CentOS 5 image (kernel 2.6.18-8.1.15.el5). Volatility 3 needs an ISF/JSON symbol table for that kernel to produce structured output. Symbol-table acquisition is a Sub-Plan 06 polish concern; until then, linux.* plugins on this fixture may return empty results without an error.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

