--- name: performing-file-carving-with-foremost-8d73b63e87df description: Recovers files from disk images and unallocated space using Foremost's header-footer signature carving, extracting evidence independent of the file system's state. Use during digital forensics investigations to carve deleted or fragmented files, such as documents, images, and archives, from raw disk images or unallocated space. domain: cybersecurity subdomain: digital-forensics tags: - forensics - file-carving - foremost - data-recovery - evidence-recovery - unallocated-space version: '1.0' author: mahipal license: Apache-2.0 nist_csf: - RS.AN-03 - DE.AE-02 - RS.MA-01 mitre_attack: - T1005 - T1074 - T1119 - T1070 - T1059 --- # Performing File Carving with Foremost ## When to Use - 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 ## 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 ```bash # Install Foremost sudo apt-get install foremost # Verify installation foremost -V # Review default configuration cat /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 types cp /etc/foremost.conf /cases/case-2024-001/custom_foremost.conf # Add custom file signatures cat << '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 ```bash # 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) dd if=/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 ```bash # 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 ```bash # Review Foremost audit report cat /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': continue for 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 files for 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" \ -exec sha256sum {} \; > /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 ```bash # 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 review mkdir -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): continue for 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 | | PhotoRec | Signature-based file recovery supporting 300+ formats | | bulk_extractor | 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. ## Output Format ``` File Carving Summary: Tool: Foremost 1.5.7 Source: evidence.dd (500 GB) Target: Unallocated space (234 GB) Duration: 1h 45m Files Carved: jpg: 2,345 files (1.8 GB) - Valid: 2,100 / Invalid: 245 png: 234 files (456 MB) - Valid: 210 / Invalid: 24 pdf: 156 files (890 MB) - Valid: 134 / Invalid: 22 doc: 89 files (234 MB) - Valid: 67 / Invalid: 22 xls: 45 files (123 MB) - Valid: 38 / Invalid: 7 zip: 67 files (567 MB) - Valid: 52 / Invalid: 15 exe: 34 files (234 MB) - Valid: 30 / Invalid: 4 sqlite: 12 files (89 MB) - Valid: 10 / Invalid: 2 Total Files: 2,982 (3.4 GB recovered) Evidence-Relevant: 45 files flagged for review Audit Log: /cases/case-2024-001/carved/foremost_all/audit.txt File Catalog: /cases/case-2024-001/analysis/carved_file_catalog.csv ``` --- Source attribution: costrict-plugins-repo Original project: https://github.com/costrict-plugins-repo/mukul975-anthropic-cybersecurity-skills-cybersecurity-skills/blob/1b344d155f00bae5cf27d8eba9508e8f5050d904/skills/performing-file-carving-with-foremost/SKILL.md License: Apache-2.0 License information: https://www.apache.org/licenses/LICENSE-2.0 Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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See the License for the specific language governing permissions and limitations under the License. # Mega AI Hub resource metadata Creator / publisher: costrict-plugins-repo Original project: https://github.com/costrict-plugins-repo/mukul975-anthropic-cybersecurity-skills-cybersecurity-skills/blob/1b344d155f00bae5cf27d8eba9508e8f5050d904/skills/performing-file-carving-with-foremost/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics Roles: Data Analyst Specialties: Backend Tools: Foremost Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 9aea9ce03d8197542ae30fe1cd1579b46be08c6746fe6646f25e57dc8c4c8276