memory-forensics
π―SkillGuides you through investigating a snapshot of a computer's memory after a security incident. It shows how to capture memory and use tools like Volatility to find malware, hidden programs, and other evidence.
Installation
npx skills add wshobson/agents --skill memory-forensicsRun it in a terminal; it asks which AI coding tools to install it for (Claude Code, Codex, Cursor and more).
Uses skills.sh Β· Node.js 22.20+
After installing
Ask for related work and the agent uses it on its own, or call it yourself.
/memory-forensicsInstall by hand
Copy the whole skill folder from GitHub to the place below. Copying only SKILL.md can leave out files the skill uses.
Open the skill folder β- This project
.claude/skills/memory-forensics/ - All projects
~/.claude/skills/memory-forensics/
These paths are for Claude Code. For other tools, the command above puts it in the right place.
What this skill does
Overview
This skill teaches memory forensics, which means studying a copy of a computer's working memory (RAM) to find evidence. It is used after a break-in or when checking a machine for malware. It covers both capturing memory and analyzing it with Volatility, a popular free analysis tool.
Key Features
- Capture memory from running Windows, Linux, or macOS machines and from virtual machines.
- Follow ready-made command steps to list running programs and network connections.
- Spot signs that malware has hidden itself inside other programs.
- Scan memory with YARA rules, which are patterns that match known malware.
- Pull readable text out of memory copies to find web addresses and other clues.
Who is this for?
It helps security analysts, incident responders, and malware researchers. It also lists good habits, such as recording a hash (a digital fingerprint) of each capture. These habits keep your evidence trustworthy.
Summarized by AI from this skill's SKILL.md. Suggest a better one
SKILL.md
View on GitHub βMaster 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.
Memory Forensics
Comprehensive techniques for acquiring, analyzing, and extracting artifacts from memory dumps for incident response and malware analysis.
When to Use This Skill
- Performing memory analysis during incident response or breach investigation
- Extracting malware artifacts (processes, injected code, network connections) from a RAM capture
- Acquiring volatile memory from a live Windows/Linux/macOS system before shutdown
- Using Volatility 3 / Rekall to triage memory dumps
- Recovering credentials, browser sessions, or open files from process memory
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 format
Linux
# 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.elf
macOS
# 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 state
Detailed section: Volatility 3 Framework
Originally a 2680-byte section in this SKILL.md. Moved to references/details.md to fit Codex's 8 KB skill body cap.
Analysis 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.yar
Incident 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 0x80
Detection 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 + ResumeThread
Rootkit 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.driverirp
Credential 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/tools
YARA 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 --kernel
String 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.txt
FLOSS for Obfuscated Strings
# FLOSS extracts obfuscated strings
floss malware.exe > floss_output.txt
# From memory dump
floss pid.1234.dmp
Best 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
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