analyzing-memory-dumps-with-volatility

name	analyzing-memory-dumps-with-volatility
description	Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials. Supports Windows, Linux, and macOS memory forensics. Activates for requests involving memory forensics, RAM analysis, volatile data examination, process injection detection, or memory-resident malware investigation.
domain	cybersecurity
subdomain	malware-analysis
tags	["malware","memory-forensics","Volatility","RAM-analysis","incident-response"]
mitre_attack	["T1055","T1003","T1059","T1620"]
version	1.0.0
author	mahipal
license	Apache-2.0
nist_csf	["DE.AE-02","RS.AN-03","ID.RA-01","DE.CM-01"]

Analyzing Memory Dumps with Volatility

When to Use

• A compromised system's RAM has been captured and needs forensic analysis for malware artifacts
• Detecting fileless malware that exists only in memory without persistent disk artifacts
• Extracting encryption keys, passwords, or decrypted configuration from process memory
• Identifying process injection, DLL injection, or process hollowing in a compromised system
• Analyzing rootkit activity that hides from standard disk-based forensic tools

Do not use for disk image analysis; use Autopsy, FTK, or Sleuth Kit for disk forensics.

Prerequisites

• Volatility 3 installed (pip install volatility3) with symbol tables for target OS
• Memory dump file acquired from the target system (using WinPmem, LiME, or DumpIt)
• Knowledge of the source OS version for correct profile/symbol selection
• Sufficient disk space (memory dumps can be 4-64 GB)
• YARA rules for scanning memory for known malware signatures
• Strings utility for extracting readable strings from memory regions

Workflow

Step 1: Identify the Memory Dump Profile

Determine the operating system and version from the memory dump:

# Volatility 3: Automatic OS detection
vol3 -f memory.dmp windows.info

# List available plugins
vol3 -f memory.dmp --help

# If symbols are needed, download from:
# https://downloads.volatilityfoundation.org/volatility3/symbols/

# For Volatility 2 (legacy):
vol2 -f memory.dmp imageinfo
vol2 -f memory.dmp kdbgscan

Step 2: Enumerate Running Processes

List all processes and identify suspicious entries:

# List all processes
vol3 -f memory.dmp windows.pslist

# Process tree (parent-child relationships)
vol3 -f memory.dmp windows.pstree

# Scan for hidden/unlinked processes (rootkit detection)
vol3 -f memory.dmp windows.psscan

# Compare pslist vs psscan to find hidden processes
# Processes in psscan but not pslist are potentially hidden by rootkits

# Check for process hollowing
vol3 -f memory.dmp windows.pslist --dump
# Then verify the dumped EXE matches the expected binary on disk