memory-forensics — Claude Code skill: what it does, how to install
This skill covers RAM capture and memory-dump analysis, including process review, injection checks, network traces, and malware artifacts.
/plugin marketplace add wshobson/agents
/plugin install reverse-engineering@claude-code-workflowsWhat memory-forensics does
memory-forensics is a practical guide to acquiring and examining volatile memory during incident response or malware analysis. It covers live collection on Windows, Linux, and macOS, plus memory extraction from VMware, VirtualBox, QEMU, and Hyper-V. The analysis examples use Volatility 3 and Rekall.
The included workflows review process trees, network connections, DLLs, handles, timelines, services, scheduled tasks, and persistence locations. They also cover hidden-process checks, driver inspection, credential extraction, YARA scans, and string extraction with strings.
Install it when your work involves RAM captures or volatile artifacts. You will need the relevant acquisition tools for the target system and the utilities used by each workflow, such as Volatility or YARA.
What it helps with
- acquire volatile memory from a live system
- triage processes and suspicious network connections
- detect injected code and hidden processes
- recover credentials and open-file artifacts
- scan memory with YARA rules
Example prompts for the agent
- Analyze `memory.raw` with Volatility and list suspicious processes.
- Check this memory dump for injection, network connections, and persistence.
- Build a timeline from the capture and inspect suspicious processes with `windows.dlllist`.
How to install memory-forensics
1Plugin marketplace
/plugin marketplace add wshobson/agents/plugin install reverse-engineering@claude-code-workflowsThis installs the whole reverse-engineering plugin with all its skills
2Skills CLI (Vercel)
npx skills add wshobson/agents --skill memory-forensics -a claude-code3Manually: put the files in place
~/.claude/skills/memory-forensics/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/memory-forensics/
1Skills CLI (Vercel)
npx skills add wshobson/agents --skill memory-forensics -a codex2Manually: put the files in place
.agents/skills/memory-forensics/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add wshobson/agents --skill memory-forensics -a cursor2Manually: put the files in place
.cursor/skills/memory-forensics/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install wshobson/agents memory-forensics2Manually: put the files in place
.github/skills/memory-forensics/SKILL.mdPlatform CLI
gemini skills install https://github.com/wshobson/agents --path plugins/reverse-engineering/skills/memory-forensicsManually: put the files in place
.devin/skills/memory-forensics/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set213
The whole set →Similar
Questions about memory-forensics
How do I install memory-forensics in Claude Code?
Add the marketplace with /plugin marketplace add wshobson/agents, then install /plugin install reverse-engineering@claude-code-workflows. You can also run npx skills add wshobson/agents --skill memory-forensics -a claude-code; the skill file is placed at ~/.claude/skills/memory-forensics/SKILL.md.
What does memory-forensics do?
It guides memory acquisition and analysis for incident response and malware analysis. The workflows cover processes, injection, network activity, credentials, drivers, persistence, and other artifacts.
Which platforms support memory-forensics?
The skill is listed for Claude Code, Codex, and Cursor. Its examples use Volatility 3, Rekall, YARA, and strings.
Source text
SKILL.md · MIT
---
name: memory-forensics
description: 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.
---
# 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
```powershell
# 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
```bash
# 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
```bash
# osxpmem
sudo ./osxpmem -o memory.raw
# MacQuisition (commercial)
```
### Virtual Machine Memory
```bash
# 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
```bash
# 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
```bash
# 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
```c
// 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)
```c
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
```python
# 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
```bash
# 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
```bash
# 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
```yara
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
```bash
# 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
```bash
# 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
```bash
# FLOSS extracts obfuscated strings
floss malware.exe > floss_output.txt
# From memory dump
floss pid.1234.dmp
```
## Best Practices
### Acquisition Best Practices
1. **Minimize footprint**: Use lightweight acquisition tools
2. **Document everything**: Record time, tool, and hash of capture
3. **Verify integrity**: Hash memory dump immediately after capture
4. **Chain of custody**: Maintain proper forensic handling
### Analysis Best Practices
1. **Start broad**: Get overview before deep diving
2. **Cross-reference**: Use multiple plugins for same data
3. **Timeline correlation**: Correlate memory findings with disk/network
4. **Document findings**: Keep detailed notes and screenshots
5. **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
© Dávid Balatoni · MIT · wshobson/agents