performing-file-carving-with-foremost

name	performing-file-carving-with-foremost
description	Recover files from disk images and unallocated space using Foremost's header-footer signature carving to extract evidence regardless of file system state. Use when working with performing file carving with foremost.
domain	cybersecurity
tags	["forensics","file-carving","foremost","data-recovery","evidence-recovery","unallocated-space"]
subdomain	digital-forensics
version	1.0
author	oyi77
license	Apache-2.0
nist_csf	["RS.AN-01","RS.AN-03","DE.AE-02","RS.MA-01"]

Performing File Carving With Foremost

Overview

Cybersecurity skill for performing file carving with foremost. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "performing file carving with foremost"

• "Recover files from disk images and unallocated space using Foremost's header-foo"

• When recovering files from unallocated disk space or corrupted file systems

• For extracting evidence from formatted or wiped storage media

• When file system metadata is unavailable but raw data sectors contain evidence

• During investigations requiring recovery of specific file types from raw images

• As a complement to file system-based recovery for maximum evidence extraction

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

• Foremost installed on forensic workstation
• Forensic disk image in raw (dd) format
• Sufficient output storage (potentially larger than source)
• Custom foremost.conf for specialized file types (optional)
• Understanding of file signatures (magic bytes) for target file types
• Scalpel as an alternative for performance-critical carving

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()}