extracting-memory-artifacts-with-rekall

name	extracting-memory-artifacts-with-rekall
description	Uses Rekall memory forensics framework to analyze memory dumps for process hollowing, injected code via VAD anomalies, hidden processes, and rootkit detection. Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract forensic artifacts from Windows memory images. Use during incident response memory analysis. . Use when working with extracting memory artifacts with rekall.
domain	cybersecurity
tags	["extracting","memory","artifacts","with"]
subdomain	security-operations
version	1.0
author	oyi77
license	Apache-2.0
nist_csf	["DE.CM-01","RS.MA-01","GV.OV-01","DE.AE-02"]

Extracting Memory Artifacts With Rekall

Overview

Cybersecurity skill for extracting memory artifacts with rekall. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "extracting memory artifacts with rekall"

• "Uses Rekall memory forensics framework to analyze memory dumps for process hollo"

• When performing authorized security testing that involves extracting memory artifacts with rekall

• When analyzing malware samples or attack artifacts in a controlled environment

• When conducting red team exercises or penetration testing engagements

• When building detection capabilities based on offensive technique understanding

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope

Prerequisites

• Familiarity with security operations concepts and tools
• Access to a test or lab environment for safe execution
• Python 3.8+ with required dependencies installed
• Appropriate authorization for any testing activities

Workflow

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}

1. Define Objectives — Clarify the goals and scope for memory artifacts.
2. Gather Resources — Collect tools, data, and access needed for memory artifacts.