memory-forensics
Skill2 starsChanged 8 months agoMITView on GitHub
Master memory forensics techniques including memory acquisition, process analysis, and artifact extraction using Volatility and related tools. Use when analyzing memory dumps, investigating incidents, or performing malware analysis from RAM captures.
- Installs packages
5 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- kaandgnsh/Claude-Bluetheir own version, first seen Nov 1, 2026
- saivarun3407/DFIR-AItheir own version, first seen Oct 15, 2026
- xfstudio/skillsedited, first seen Oct 13, 2026
- Samueladewole/claude-skillsword for word, first seen Oct 13, 2026
- ai4brands-design/claude-skillsedited, first seen Mar 22, 2026
Other versions5 projects use a version of this.
Word for word · 1
- Samueladewole/claude-skills★ 0100% same
Edited · 2
- xfstudio/skills★ 994% same
- ai4brands-design/claude-skills★ 294% same
Wrote their own version · 2
- kaandgnsh/Claude-Blue★ 0same name
- saivarun3407/DFIR-AI★ 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 repository239 other files it gives its agents.
- claude-code-docs/agents.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- claude-code-docs/llms.txtllms.txt
- agent-native-architectureSkill
- claude-apiSkill
- embedding-strategiesSkill
- fal-ai-mediaSkill
- gemini-imagegenSkill
- hybrid-search-implementationSkill
- langchain-architectureSkill
- llm-evaluationSkill
- ml-pipeline-workflowSkill
- prompt-engineering-patternsSkill
- rag-implementationSkill
- similarity-search-patternsSkill
- vector-index-tuningSkill
- api-design-principlesSkill
- api-designSkill
- architecture-patternsSkill
- cqrs-implementationSkill
- event-store-designSkill
- fastapi-templatesSkill
- microservices-patternsSkill
- openapi-spec-generationSkill
- projection-patternsSkill
- saga-orchestrationSkill
- api-conventionsSkill
- andrew-kane-gem-writerSkill
- angular-migrationSkill
- auth-implementation-patternsSkill
- backend-patternsSkill
- bazel-build-optimizationSkill
- coding-standardsSkill
- database-migrationSkill
- debugging-strategiesSkill
- dependency-upgradeSkill
- dhh-rails-styleSkill
- dotnet-backend-patternsSkill
- dspy-rubySkill
- error-handling-patternsSkill
- monorepo-managementSkill
- nodejs-backend-patternsSkill
- nx-workspace-patternsSkill
- react-modernizationSkill
- temporal-python-testingSkill
- turborepo-cachingSkill
- workflow-orchestration-patternsSkill
- defi-protocol-templatesSkill
- nft-standardsSkill
- solidity-securitySkill
- web3-testingSkill
- backtesting-frameworksSkill
- billing-automationSkill
- competitive-landscapeSkill
- data-storytellingSkill
- employment-contract-templatesSkill
- investor-materialsSkill
- investor-outreachSkill
- kpi-dashboard-designSkill
- market-sizing-analysisSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
6 rules. 6 are common, 0 are distinctive, and 0 are very specific to this project.
6
Common
Most of the 3 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 464
Minimize footprint: Use lightweight acquisition tools
- Common: line 472
Cross-reference: Use multiple plugins for same data
- Common: line 474
Document findings: Keep detailed notes and screenshots
- Common: line 475
Validate results: Verify findings through multiple methods
- Common: line 480
Incomplete dumps: Verify dump size matches expected RAM
- Common: line 481
Symbol issues: Ensure correct symbol files for OS version
“Common” is measured: kept by at least 6 in 10 of the 3 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
Comprehensive techniques for acquiring, analyzing, and extracting artifacts from memory dumps for incident response and malware analysis.
Memory Acquisition
Live Acquisition Tools
Windows
# WinPmem (Recommended)
winpmem_mini_x64.exe memory.raw
# DumpIt
DumpIt.exe
# Belkasoft RAM Capturer
# GUI-based, outputs raw format
# Magnet RAM Capture
# GUI-based, outputs raw formatLinux
# LiME (Linux Memory Extractor)
sudo insmod lime.ko "path=/tmp/memory.lime format=lime"
# /dev/mem (limited, requires permissions)
sudo dd if=/dev/mem of=memory.raw bs=1M
# /proc/kcore (ELF format)
sudo cp /proc/kcore memory.elfmacOS
# osxpmem
sudo ./osxpmem -o memory.raw
# MacQuisition (commercial)Virtual Machine Memory
# VMware: .vmem file is raw memory
cp vm.vmem memory.raw
# VirtualBox: Use debug console
vboxmanage debugvm "VMName" dumpvmcore --filename memory.elf
# QEMU
virsh dump <domain> memory.raw --memory-only
# Hyper-V
# Checkpoint contains memory stateVolatility 3 Framework
Installation and Setup
# Install Volatility 3
pip install volatility3
# Install symbol tables (Windows)
# Download from https://downloads.volatilityfoundation.org/volatility3/symbols/
# Basic usage
vol -f memory.raw <plugin>
# With symbol path
vol -f memory.raw -s /path/to/symbols windows.pslistEssential Plugins
Process Analysis
# List processes
vol -f memory.raw windows.pslist
# Process tree (parent-child relationships)
vol -f memory.raw windows.pstree
# Hidden process detection
vol -f memory.raw windows.psscan
# Process memory dumps
vol -f memory.raw windows.memmap --pid <PID> --dump
# Process environment variables
vol -f memory.raw windows.envars --pid <PID>
# Command line arguments
vol -f memory.raw windows.cmdlineNetwork Analysis
# Network connections
vol -f memory.raw windows.netscan
# Network connection state
vol -f memory.raw windows.netstatDLL and Module Analysis
# Loaded DLLs per process
vol -f memory.raw windows.dlllist --pid <PID>
# Find hidden/injected DLLs
vol -f memory.raw windows.ldrmodules
# Kernel modules
vol -f memory.raw windows.modules
# Module dumps
vol -f memory.raw windows.moddump --pid <PID>Memory Injection Detection
# Detect code injection
vol -f memory.raw windows.malfind
# VAD (Virtual Address Descriptor) analysis
vol -f memory.raw windows.vadinfo --pid <PID>
# Dump suspicious memory regions
vol -f memory.raw windows.vadyarascan --yara-rules rules.yarRegistry Analysis
# List registry hives
vol -f memory.raw windows.registry.hivelist
# Print registry key
vol -f memory.raw windows.registry.printkey --key "Software\Microsoft\Windows\CurrentVersion\Run"
# Dump registry hive
vol -f memory.raw windows.registry.hivescan --dumpFile System Artifacts
# Scan for file objects
vol -f memory.raw windows.filescan
# Dump files from memory
vol -f memory.raw windows.dumpfiles --pid <PID>
# MFT analysis
vol -f memory.raw windows.mftscanLinux Analysis
# Process listing
vol -f memory.raw linux.pslist
# Process tree
vol -f memory.raw linux.pstree
# Bash history
vol -f memory.raw linux.bash
# Network connections
vol -f memory.raw linux.sockstat
# Loaded kernel modules
vol -f memory.raw linux.lsmod
# Mount points
vol -f memory.raw linux.mount
# Environment variables
vol -f memory.raw linux.envarsmacOS Analysis
# Process listing
vol -f memory.raw mac.pslist
# Process tree
vol -f memory.raw mac.pstree
# Network connections
vol -f memory.raw mac.netstat
# Kernel extensions
vol -f memory.raw mac.lsmodAnalysis Workflows
Malware Analysis Workflow
# 1. Initial process survey
vol -f memory.raw windows.pstree > processes.txt
vol -f memory.raw windows.pslist > pslist.txt
# 2. Network connections
vol -f memory.raw windows.netscan > network.txt
# 3. Detect injection
vol -f memory.raw windows.malfind > malfind.txt
# 4. Analyze suspicious processes
vol -f memory.raw windows.dlllist --pid <PID>
vol -f memory.raw windows.handles --pid <PID>
# 5. Dump suspicious executables
vol -f memory.raw windows.pslist --pid <PID> --dump
# 6. Extract strings from dumps
strings -a pid.<PID>.exe > strings.txt
# 7. YARA scanning
vol -f memory.raw windows.yarascan --yara-rules malware.yarIncident Response Workflow
# 1. Timeline of events
vol -f memory.raw windows.timeliner > timeline.csv
# 2. User activity
vol -f memory.raw windows.cmdline
vol -f memory.raw windows.consoles
# 3. Persistence mechanisms
vol -f memory.raw windows.registry.printkey \
--key "Software\Microsoft\Windows\CurrentVersion\Run"
# 4. Services
vol -f memory.raw windows.svcscan
# 5. Scheduled tasks
vol -f memory.raw windows.scheduled_tasks
# 6. Recent files
vol -f memory.raw windows.filescan | grep -i "recent"Data Structures
Windows Process Structures
// EPROCESS (Executive Process)
typedef struct _EPROCESS {
KPROCESS Pcb; // Kernel process block
EX_PUSH_LOCK ProcessLock;
LARGE_INTEGER CreateTime;
LARGE_INTEGER ExitTime;
// ...
LIST_ENTRY ActiveProcessLinks; // Doubly-linked list
ULONG_PTR UniqueProcessId; // PID
// ...
PEB* Peb; // Process Environment Block
// ...
} EPROCESS;
// PEB (Process Environment Block)
typedef struct _PEB {
BOOLEAN InheritedAddressSpace;
BOOLEAN ReadImageFileExecOptions;
BOOLEAN BeingDebugged; // Anti-debug check
// ...
PVOID ImageBaseAddress; // Base address of executable
PPEB_LDR_DATA Ldr; // Loader data (DLL list)
PRTL_USER_PROCESS_PARAMETERS ProcessParameters;
// ...
} PEB;VAD (Virtual Address Descriptor)
typedef struct _MMVAD {
MMVAD_SHORT Core;
union {
ULONG LongFlags;
MMVAD_FLAGS VadFlags;
} u;
// ...
PVOID FirstPrototypePte;
PVOID LastContiguousPte;
// ...
PFILE_OBJECT FileObject;
} MMVAD;
// Memory protection flags
#define PAGE_EXECUTE 0x10
#define PAGE_EXECUTE_READ 0x20
#define PAGE_EXECUTE_READWRITE 0x40
#define PAGE_EXECUTE_WRITECOPY 0x80Detection Patterns
Process Injection Indicators
# Malfind indicators
# - PAGE_EXECUTE_READWRITE protection (suspicious)
# - MZ header in non-image VAD region
# - Shellcode patterns at allocation start
# Common injection techniques
# 1. Classic DLL Injection
# - VirtualAllocEx + WriteProcessMemory + CreateRemoteThread
# 2. Process Hollowing
# - CreateProcess (SUSPENDED) + NtUnmapViewOfSection + WriteProcessMemory
# 3. APC Injection
# - QueueUserAPC targeting alertable threads
# 4. Thread Execution Hijacking
# - SuspendThread + SetThreadContext + ResumeThreadRootkit Detection
# Compare process lists
vol -f memory.raw windows.pslist > pslist.txt
vol -f memory.raw windows.psscan > psscan.txt
diff pslist.txt psscan.txt # Hidden processes
# Check for DKOM (Direct Kernel Object Manipulation)
vol -f memory.raw windows.callbacks
# Detect hooked functions
vol -f memory.raw windows.ssdt # System Service Descriptor Table
# Driver analysis
vol -f memory.raw windows.driverscan
vol -f memory.raw windows.driverirpCredential Extraction
# Dump hashes (requires hivelist first)
vol -f memory.raw windows.hashdump
# LSA secrets
vol -f memory.raw windows.lsadump
# Cached domain credentials
vol -f memory.raw windows.cachedump
# Mimikatz-style extraction
# Requires specific plugins/toolsYARA Integration
Writing Memory YARA Rules
rule Suspicious_Injection
{
meta:
description = "Detects common injection shellcode"
strings:
// Common shellcode patterns
$mz = { 4D 5A }
$shellcode1 = { 55 8B EC 83 EC } // Function prologue
$api_hash = { 68 ?? ?? ?? ?? 68 ?? ?? ?? ?? E8 } // Push hash, call
condition:
$mz at 0 or any of ($shellcode*)
}
rule Cobalt_Strike_Beacon
{
meta:
description = "Detects Cobalt Strike beacon in memory"
strings:
$config = { 00 01 00 01 00 02 }
$sleep = "sleeptime"
$beacon = "%s (admin)" wide
condition:
2 of them
}Scanning Memory
# Scan all process memory
vol -f memory.raw windows.yarascan --yara-rules rules.yar
# Scan specific process
vol -f memory.raw windows.yarascan --yara-rules rules.yar --pid 1234
# Scan kernel memory
vol -f memory.raw windows.yarascan --yara-rules rules.yar --kernelString Analysis
Extracting Strings
# Basic string extraction
strings -a memory.raw > all_strings.txt
# Unicode strings
strings -el memory.raw >> all_strings.txt
# Targeted extraction from process dump
vol -f memory.raw windows.memmap --pid 1234 --dump
strings -a pid.1234.dmp > process_strings.txt
# Pattern matching
grep -E "(https?://|[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3})" all_strings.txtFLOSS for Obfuscated Strings
# FLOSS extracts obfuscated strings
floss malware.exe > floss_output.txt
# From memory dump
floss pid.1234.dmpBest Practices
Acquisition Best Practices
- Minimize footprint: Use lightweight acquisition tools
- Document everything: Record time, tool, and hash of capture
- Verify integrity: Hash memory dump immediately after capture
- Chain of custody: Maintain proper forensic handling
Analysis Best Practices
- Start broad: Get overview before deep diving
- Cross-reference: Use multiple plugins for same data
- Timeline correlation: Correlate memory findings with disk/network
- Document findings: Keep detailed notes and screenshots
- Validate results: Verify findings through multiple methods
Common Pitfalls
- Stale data: Memory is volatile, analyze promptly
- Incomplete dumps: Verify dump size matches expected RAM
- Symbol issues: Ensure correct symbol files for OS version
- Smear: Memory may change during acquisition
- Encryption: Some data may be encrypted in memory
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.

