performing-memory-forensics-with-volatility3-plugins

name	performing-memory-forensics-with-volatility3-plugins
description	Analyze memory dumps using Volatility3 plugins to detect injected code, rootkits, credential theft, and malware artifacts in Windows, Linux, and macOS memory images.
domain	cybersecurity
subdomain	malware-analysis
tags	["memory-forensics","volatility3","malware-analysis","incident-response","process-injection","rootkit-detection","dfir"]
version	1.0
author	mahipal
license	Apache-2.0

Performing Memory Forensics with Volatility3 Plugins

Overview

Volatility3 (v2.26.0+, feature parity release May 2025) is the standard framework for memory forensics, replacing the deprecated Volatility2. It analyzes RAM dumps from Windows, Linux, and macOS to detect malicious processes, code injection, rootkits, credential harvesting, and network connections that disk-based forensics cannot reveal. Key plugins include windows.malfind (detecting RWX memory regions indicating injection), windows.psscan (finding hidden processes), windows.dlllist (enumerating loaded modules), windows.netscan (active network connections), and windows.handles (open file/registry handles). The 2024 Plugin Contest introduced ETW Scan for extracting Event Tracing for Windows data from memory.

Prerequisites

• Python 3.9+ with volatility3 framework installed
• Memory dump files (.raw, .dmp, .vmem, .lime)
• Windows symbol tables (ISF files, auto-downloaded)
• Understanding of Windows process memory architecture
• YARA integration for in-memory pattern scanning

Practical Steps

Step 1: Process Analysis for Malware Detection

#!/usr/bin/env python3
"""Volatility3-based memory forensics automation for malware analysis."""
import subprocess
import json
import sys
import os


class Vol3Analyzer:
    """Automate Volatility3 plugin execution for malware analysis."""

    def __init__(self, dump_path, vol3_path="vol"):
        self.dump_path = dump_path
        self.vol3 = vol3_path
        self.results = {}

    def run_plugin(self, plugin, extra_args=None):
        """Execute a Volatility3 plugin and capture output."""
        cmd = [
            self.vol3, "-f", self.dump_path,
            "-r", "json", plugin,
        ]
        if extra_args:
            cmd.extend(extra_args)

        try:
            result = subprocess.run(
                cmd, capture_output=True, text=True, timeout=300
            )
            if result.returncode == 0:
                return json.loads(result.stdout)
        except (subprocess.TimeoutExpired, json.JSONDecodeError) as e:
            print(f"  [!] {plugin} failed: {e}")
        return None

    def detect_process_injection():
        
        ()
        results = .run_plugin()

        injected = []
         results:
             entry  results:
                injected.append({
                    : entry.get(),
                    : entry.get(),
                    : entry.get(),
                    : entry.get(),
                    : entry.get(, )[:],
                })
                (
                      )

        .results[] = injected
         injected

     ():
        
        ()

        pslist = .run_plugin()
        psscan = .run_plugin()

          pslist   psscan:
             []

        list_pids = {e.get()  e  pslist}
        scan_pids = {e.get()  e  psscan}

        hidden = scan_pids - list_pids
         hidden:
            ()
             entry  psscan:
                 entry.get()  hidden:
                    ()

        .results[] = (hidden)
         (hidden)

     ():
        
        ()
        results = .run_plugin()

        connections = []
         results:
             entry  results:
                conn = {
                    : entry.get(),
                    : entry.get(),
                    : ,
                    : ,
                    : entry.get(),
                    : entry.get(),
                }
                connections.append(conn)

        .results[] = connections
         connections

     ():
        
        ()
        args = [, (pid)]  pid  
        results = .run_plugin(, args)

        dlls = []
         results:
             entry  results:
                dlls.append({
                    : entry.get(),
                    : entry.get(),
                    : entry.get(),
                    : entry.get(),
                    : entry.get(),
                    : entry.get(),
                })

        .results[] = dlls
         dlls

     ():
        
        ()
        results = .run_plugin(
            ,
            [, rules_path]
        )

        matches = []
         results:
             entry  results:
                matches.append({
                    : entry.get(),
                    : entry.get(),
                    : entry.get(),
                    : entry.get(),
                })

        .results[] = matches
         matches

     ():
        
        ()
        ( * )

        .detect_process_injection()
        .find_hidden_processes()
        .analyze_network()

         .results


 __name__ == :
     (sys.argv) < :
        ()
        sys.exit()

    analyzer = Vol3Analyzer(sys.argv[])
    results = analyzer.full_triage()
    (json.dumps(results, indent=, default=))

Validation Criteria

• Memory dump successfully parsed with correct OS profile
• Injected processes detected via malfind with RWX regions
• Hidden processes identified through pslist/psscan comparison
• Network connections reveal C2 communication endpoints
• YARA rules match known malware signatures in memory
• Credential artifacts extracted from lsass process memory

References

• Volatility Foundation
• Volatility3 GitHub
• 2024 Volatility Plugin Contest
• Memory Forensics with Volatility 3
• MITRE ATT&CK T1055 - Process Injection