Recover files from disk images and unallocated space using Foremost's header-footer signature carving to extract evidence regardless of file system state.
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Recover files from disk images and unallocated space using Foremost's header-footer signature carving to extract evidence regardless of file system state.
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
Detection Gaps & Validation
Fragmentation is the #1 carving failure. Header-footer carving assumes contiguous data; a file split across non-adjacent clusters is recovered truncated or stitched with unrelated sectors. Foremost/Scalpel do not reassemble fragments — corrupt output here is expected, not a tool error. Cross-check size/validity before trusting a carve.
No footer = guesswork. Types without a reliable footer (and max_size caps in foremost.conf/scalpel.conf) cause truncation or runaway over-reads. Tune max_size per type and verify the tail of large carves.
Signature-only blind spots: encrypted or compressed payloads have no plaintext magic bytes and will not carve; embedded files (e.g., a ZIP inside a docx, both \x50\x4b\x03\x04) get double-counted, inflating hit counts.
False positives: random data matching \xff\xd8\xff/%PDF produces files that pass the signature but fail to open. Validate with file, then actually parse/open (pdftotext, image render, sqlite3 .schema) before cataloging as evidence.
Carving yields no filesystem context. Carved files have no original name, path, or $STANDARD_INFORMATION timestamps — never assert when/where a carved artifact lived without a second source.
Validate / cross-corroborate: hash carved output (SHA-256) against NSRL (filter known-good) and known-bad sets, and reconcile against $MFT/file-system metadata, bulk_extractor features, and PhotoRec results to recover names/timestamps and confirm the recovery is genuine rather than a signature artifact.
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
Step 1: Install and Configure Foremost
# Install Foremostsudo apt-get install foremost
# Verify installation
foremost -V
# Review default configurationcat /etc/foremost.conf
# The default foremost.conf supports:# jpg, gif, png, bmp - Image formats# avi, exe, mpg, wav - Media and executables# riff, wmv, mov, pdf - Documents and video# ole (doc/xls/ppt), zip, rar - Office and archives# htm, cpp, java - Text/code files# Create custom configuration for additional file typescp /etc/foremost.conf /cases/case-2024-001/custom_foremost.conf
# Add custom file signaturescat << 'EOF' >> /cases/case-2024-001/custom_foremost.conf
# Custom additions for investigation# Format: extension case_sensitive max_size header footer
docx y 10000000 \x50\x4b\x03\x04 \x50\x4b\x05\x06
xlsx y 10000000 \x50\x4b\x03\x04 \x50\x4b\x05\x06
pptx y 10000000 \x50\x4b\x03\x04 \x50\x4b\x05\x06
sqlite y 50000000 \x53\x51\x4c\x69\x74\x65\x20\x66\x6f\x72\x6d\x61\x74
pst y 500000000 \x21\x42\x44\x4e
eml y 1000000 \x46\x72\x6f\x6d\x3a \x0d\x0a\x0d\x0a
evtx y 50000000 \x45\x6c\x66\x46\x69\x6c\x65
EOF
Step 2: Run Foremost Against the Disk Image
# Basic carving of all supported file types
foremost -t all \
-i /cases/case-2024-001/images/evidence.dd \
-o /cases/case-2024-001/carved/foremost_all/
# Carve only specific file types
foremost -t jpg,png,pdf,doc,xls,zip \
-i /cases/case-2024-001/images/evidence.dd \
-o /cases/case-2024-001/carved/foremost_targeted/
# Use custom configuration
foremost -c /cases/case-2024-001/custom_foremost.conf \
-i /cases/case-2024-001/images/evidence.dd \
-o /cases/case-2024-001/carved/foremost_custom/
# Carve from a specific partition offset# First, find partitions
mmls /cases/case-2024-001/images/evidence.dd
# Then carve from unallocated space only# Extract unallocated space with blkls
blkls -o 2048 /cases/case-2024-001/images/evidence.dd \
> /cases/case-2024-001/unallocated.dd
foremost -t all \
-i /cases/case-2024-001/unallocated.dd \
-o /cases/case-2024-001/carved/foremost_unalloc/
# Verbose mode for detailed progress
foremost -v -t all \
-i /cases/case-2024-001/images/evidence.dd \
-o /cases/case-2024-001/carved/foremost_verbose/ 2>&1 | \
tee /cases/case-2024-001/carved/foremost_log.txt
# Indirect mode (process standard input)ddif=/cases/case-2024-001/images/evidence.dd bs=512 skip=2048 | \
foremost -t jpg,pdf -o /cases/case-2024-001/carved/foremost_pipe/
Step 3: Use Scalpel for High-Performance Carving
# Install Scalpel (faster alternative based on Foremost)sudo apt-get install scalpel
# Edit Scalpel configuration (uncomment desired file types)cp /etc/scalpel/scalpel.conf /cases/case-2024-001/scalpel.conf
# Uncomment lines for target file types in the config# Run Scalpel
scalpel -c /cases/case-2024-001/scalpel.conf \
-o /cases/case-2024-001/carved/scalpel/ \
/cases/case-2024-001/images/evidence.dd
# Scalpel with file size limits# Edit scalpel.conf to set appropriate max sizes:# jpg y 5000000 \xff\xd8\xff \xff\xd9# pdf y 20000000 %PDF %%EOF
Step 4: Process and Validate Carved Files
# Review Foremost audit reportcat /cases/case-2024-001/carved/foremost_all/audit.txt
# The audit.txt contains:# - Number of files found per type# - Start and end offsets# - File sizes# Validate carved files
python3 << 'PYEOF'
import os
import subprocess
from collections import defaultdict
carved_dir = '/cases/case-2024-001/carved/foremost_all/'
stats = defaultdict(lambda: {'total': 0, 'valid': 0, 'invalid': 0, 'size': 0})
for subdir in os.listdir(carved_dir):
subdir_path = os.path.join(carved_dir, subdir)
if not os.path.isdir(subdir_path) or subdir == 'audit.txt':
continuefor filename in os.listdir(subdir_path):
filepath = os.path.join(subdir_path, filename)
if not os.path.isfile(filepath):
continue
ext = subdir
filesize = os.path.getsize(filepath)
stats[ext]['total'] += 1
stats[ext]['size'] += filesize
# Validate file using 'file' command
result = subprocess.run(['file', '--brief', filepath], capture_output=True, text=True)
file_type = result.stdout.strip()
if'data'in file_type.lower() or 'empty'in file_type.lower():
stats[ext]['invalid'] += 1
else:
stats[ext]['valid'] += 1
print("=== CARVED FILE VALIDATION ===\n")
print(f"{'Type':<10} {'Total':<8} {'Valid':<8} {'Invalid':<10} {'Total Size':<15}")
print("-" * 55)
for ext in sorted(stats.keys()):
s = stats[ext]
size_mb = s['size'] / (1024*1024)
print(f"{ext:<10} {s['total']:<8} {s['valid']:<8} {s['invalid']:<10} {size_mb:>10.1f} MB")
# Remove zero-byte filesfor subdir in os.listdir(carved_dir):
subdir_path = os.path.join(carved_dir, subdir)
if os.path.isdir(subdir_path):
for filename in os.listdir(subdir_path):
filepath = os.path.join(subdir_path, filename)
if os.path.isfile(filepath) and os.path.getsize(filepath) == 0:
os.remove(filepath)
PYEOF
# Hash all valid carved files
find /cases/case-2024-001/carved/foremost_all/ -type f ! -name "audit.txt" \
-execsha256sum {} \; > /cases/case-2024-001/carved/carved_file_hashes.txt
# Check against known-bad hash database# Check against NSRL known-good database to filter
Step 5: Examine and Catalog Evidence Files
# Extract metadata from carved images (EXIF data including GPS)
exiftool -r -csv /cases/case-2024-001/carved/foremost_all/jpg/ \
> /cases/case-2024-001/analysis/carved_image_metadata.csv
# Search carved documents for keywords
find /cases/case-2024-001/carved/foremost_all/pdf/ -name "*.pdf" -exec pdftotext {} - \; 2>/dev/null | \
grep -iE '(confidential|secret|password|account|ssn|credit.card)' \
> /cases/case-2024-001/analysis/keyword_hits_pdf.txt
# Generate thumbnails for image reviewmkdir -p /cases/case-2024-001/carved/thumbnails/
find /cases/case-2024-001/carved/foremost_all/jpg/ -name "*.jpg" -exec \
convert {} -thumbnail 200x200 /cases/case-2024-001/carved/thumbnails/{} \; 2>/dev/null
# Create evidence catalog
python3 << 'PYEOF'
import os, hashlib, csv, subprocess
catalog = []
carved_dir = '/cases/case-2024-001/carved/foremost_all/'for subdir in sorted(os.listdir(carved_dir)):
subdir_path = os.path.join(carved_dir, subdir)
if not os.path.isdir(subdir_path):
continuefor filename in sorted(os.listdir(subdir_path)):
filepath = os.path.join(subdir_path, filename)
if not os.path.isfile(filepath):
continue
size = os.path.getsize(filepath)
sha256 = hashlib.sha256(open(filepath, 'rb').read()).hexdigest()
file_type = subprocess.run(['file', '--brief', filepath], capture_output=True, text=True).stdout.strip()
catalog.append({
'filename': filename,
'type': subdir,
'size': size,
'sha256': sha256,
'file_description': file_type[:100]
})
with open('/cases/case-2024-001/analysis/carved_file_catalog.csv', 'w', newline='') as f:
writer = csv.DictWriter(f, fieldnames=['filename', 'type', 'size', 'sha256', 'file_description'])
writer.writeheader()
writer.writerows(catalog)
print(f"Catalog created with {len(catalog)} files")
PYEOF
Key Concepts
Concept
Description
File carving
Recovering files by searching for known header/footer byte sequences in raw data
File signature
Unique byte pattern at the start (header) or end (footer) identifying a file type
Unallocated space
Disk sectors not assigned to any file; primary target for carving
Fragmentation
When file data is stored in non-contiguous sectors, complicating carving
Header-footer carving
Extracting data between known file start and end signatures
False positives
Carved data matching file signatures but containing corrupt or unrelated content
Slack space
Unused bytes at the end of a file's last allocated cluster
Sector alignment
Files typically start at sector boundaries, improving carving accuracy
Tools & Systems
Tool
Purpose
Foremost
Original header-footer file carving tool developed for US Air Force OSI
Scalpel
High-performance file carver with configurable signatures
Extracts features (emails, URLs, credit cards) from raw data
blkls
Sleuth Kit tool extracting unallocated space from disk images
mmls
Partition table display for identifying carving targets
ExifTool
Metadata extraction from carved image and document files
hashdeep
Recursive hash computation for carved file cataloging
Common Scenarios
Scenario 1: Recovering Deleted Evidence Documents
Run Foremost targeting doc, pdf, xlsx formats against the unallocated space extracted with blkls, validate carved documents, search content for case-relevant keywords, catalog and hash all recoverable documents, present as evidence.
Scenario 2: Image Recovery from Formatted Media
Carve JPEG, PNG, GIF, BMP from a formatted USB drive image, extract EXIF metadata including GPS coordinates and camera information, generate thumbnails for rapid visual review, identify evidence-relevant images, document recovery chain.
Scenario 3: Email Recovery from Damaged PST
Use custom foremost.conf with PST and EML signatures, carve email artifacts from damaged Outlook data file, attempt to open carved PST fragments in a viewer, extract individual EML messages, search for relevant communications.
Scenario 4: Database Recovery for Financial Investigation
Configure Foremost to carve SQLite databases from unallocated space, recover application databases that were deleted, query recovered databases for financial records, cross-reference with known transaction data, document findings for prosecution.
