Skills wshobson agents

memory-forensics

Use it when:
You're responding to an incident or analyzing malware and have, or need to capture, a RAM dump from Windows, Linux, macOS or a VM.
It does:
Captures memory with tools such as WinPmem, LiME or osxpmem, then runs Volatility 3 plugins in a malware workflow and an incident-response workflow.
You get:
Text files of processes, connections and injected code, dumped executables and their strings, a timeline CSV and YARA matches.
Needs:
Volatility 3, installed with pip, Windows symbol tables, and the capture tool for your system.
Detects:
Process injection and hollowing, rootkits that hide processes or hook system calls, and Cobalt Strike beacons, with sample YARA rules.

Capture and analyze memory only from systems you own or are authorized to investigate: its steps also dump password hashes, LSA secrets and cached domain credentials.

TL;DR

A forensic reference with two ready-made workflows. Acquisition covers live capture on Windows (WinPmem, DumpIt and GUI tools), Linux (LiME, /dev/mem, /proc/kcore) and macOS (osxpmem), and copying memory out of VMware, VirtualBox, QEMU and Hyper-V. A reference file holds Volatility 3's setup and its main plugins for processes, network, DLLs and modules, injection, the registry and files on Windows, and for Linux and macOS. The malware workflow surveys processes and connections, runs malfind to find injected code, inspects suspicious processes' DLLs and handles, dumps them, extracts strings and scans with YARA. The incident-response workflow builds a timeline, then checks command lines, Run-key persistence, services, scheduled tasks and recent files. It explains the Windows structures these tools read (EPROCESS, PEB, VAD), four injection techniques, rootkit checks such as comparing pslist with psscan to find hidden processes, credential extraction (password hashes, LSA secrets, cached domain logins), memory YARA rules, and FLOSS for obfuscated strings. Its best practices: hash the dump right away, keep a chain of custody, cross-check plugins and correlate with disk and network evidence.

Summarizes the skill at 4bde316.

npx skills add https://github.com/wshobson/agents --skill memory-forensics
Total Downloads
11,400 on skills.sh, Nov 9, 2026
Repo stars
42,334 wshobson/agents
First seen
Jan 20, 2026 on skills.sh
Weekly Downloads
157
-14% over the 8 weeks to Nov 9
Weekly values
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Category

Compliance, guardrails, skill vetting and browser fingerprinting.

Everything for building software: planning, coding, debugging, design, frameworks, cloud, agents and skills.

Type

A multi-step process the agent follows: interview, debug, run a TDD loop, review.

Effect

Its own steps create or change files, git state or local tools.

Needs

A specific command-line tool or desktop app must be installed, such as gh, agent-browser, LibreOffice, Obsidian or a vendor CLI.

Publisher

Everyone else. Unverified vendor claims default to community.

Topics
Stack

SKILL.md

From wshobson/agents at 4bde316. Checked daily, last changed Nov 6, 2026.

Frontmatter
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
# 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
  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