/acquiring-disk-image-with-dd-and-dcfldd
Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving
$ npx -y skills add mukul975/Anthropic-Cybersecurity-Skills --skill acquiring-disk-image-with-dd-and-dcfldd --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/acquiring-disk-image-with-dd-and-dcfldd
Context preview
The summary Claude sees to decide when to auto-load this skill.
Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving
SKILL.md
acquiring-disk-image-with-dd-and-dcfldd.SKILL.mdname: acquiring-disk-image-with-dd-and-dcfldd
description: Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.
domain: cybersecurity
subdomain: digital-forensics
tags:
- forensics
- disk-imaging
- evidence-acquisition
- dd
- dcfldd
- hash-verification
version: '1.0'
author: mahipal
license: Apache-2.0
nist_csf:
- RS.AN-03
- DE.AE-02
- RS.MA-01
mitre_attack:
- T1006
- T1005
- T1025
- T1074.001
Acquiring Disk Image with dd and dcfldd
When to Use
- When you need to create a forensic copy of a suspect drive for investigation
- During incident response when preserving volatile disk evidence before analysis
- When law enforcement or legal proceedings require a verified bit-for-bit copy
- Before performing any destructive analysis on a storage device
- When acquiring images from physical drives, USB devices, or memory cards
Prerequisites
- Linux-based forensic workstation (SIFT, Kali, or any Linux distro)
- `dd` (pre-installed on all Linux systems) or `dcfldd` (enhanced forensic version)
- Write-blocker hardware or software write-blocking configured
- Destination drive with sufficient storage (larger than source)
- Root/sudo privileges on the forensic workstation
- SHA-256 or MD5 hashing utilities (`sha256sum`, `md5sum`)
Workflow
Step 1: Identify the Target Device and Enable Write Protection
# List all connected block devices to identify the target
lsblk -o NAME,SIZE,TYPE,MOUNTPOINT,MODEL
# Verify the device details
fdisk -l /dev/sdb
# Enable software write-blocking (if no hardware blocker)
blockdev --setro /dev/sdb
# Verify read-only status
blockdev --getro /dev/sdb
# Output: 1 (means read-only is enabled)
# Alternatively, use udev rules for persistent write-blocking
echo 'SUBSYSTEM=="block", ATTRS{serial}=="WD-WCAV5H861234", ATTR{ro}="1"' > /etc/udev/rules.d/99-writeblock.rules
udevadm control --reload-rulesStep 2: Prepare the Destination and Document the Source
# Create case directory structure
mkdir -p /cases/case-2024-001/{images,hashes,logs,notes}
# Document source drive information
hdparm -I /dev/sdb > /cases/case-2024-001/notes/source_drive_info.txt
# Record the serial number and model
smartctl -i /dev/sdb >> /cases/case-2024-001/notes/source_drive_info.txt
# Pre-hash the source device
sha256sum /dev/sdb | tee /cases/case-2024-001/hashes/source_hash_before.txtStep 3: Acquire the Image Using dd
# Basic dd acquisition with progress and error handling
dd if=/dev/sdb of=/cases/case-2024-001/images/evidence.dd \
bs=4096 \
conv=noerror,sync \
status=progress 2>&1 | tee /cases/case-2024-001/logs/dd_acquisition.log
# For compressed images to save space
dd if=/dev/sdb bs=4096 conv=noerror,sync status=progress | \
gzip -c > /cases/case-2024-001/images/evidence.dd.gz
# Using dd with a specific count for partial acquisition
dd if=/dev/sdb of=/cases/case-2024-001/images/first_1gb.dd \
bs=1M count=1024 status=progress
Step 4: Acquire Using dcfldd (Preferred Forensic Method)
# Install dcfldd if not present
apt-get install dcfldd
# Acquire image with built-in hashing and split output
dcfldd if=/dev/sdb \
of=/cases/case-2024-001/images/evidence.dd \
hash=sha256,md5 \
hashwindow=1G \
hashlog=/cases/case-2024-001/hashes/acquisition_hashes.txt \
bs=4096 \
conv=noerror,sync \
errlog=/cases/case-2024-001/logs/dcfldd_errors.log
# Split large images into manageable segments
dcfldd if=/dev/sdb \
of=/cases/case-2024-001/images/evidence.dd \
hash=sha256 \
hashlog=/cases/case-2024-001/hashes/split_hashes.txt \
bs=4096 \
split=2G \
splitformat=aa
# Acquire with verification pass
dcfldd if=/dev/sdb \
of=/cases/case-2024-001/images/evidence.dd \
hash=sha256 \
hashlog=/cases/case-2024-001/hashes/verification.txt \
vf=/cases/case-2024-001/images/evidence.dd \
verifylog=/cases/case-2024-001/logs/verify.log
Step 5: Verify Image Integrity
# Hash the acquired image
sha256sum /cases/case-2024-001/images/evidence.dd | \
tee /cases/case-2024-001/hashes/image_hash.txt
# Compare source and image hashes
diff <(sha256sum /dev/sdb | awk '{print $1}') \
<(sha256sum /cases/case-2024-001/images/evidence.dd | awk '{print $1}')
# If using split images, verify each segment
sha256sum /cases/case-2024-001/images/evidence.dd.* | \
tee /cases/case-2024-001/hashes/split_image_hashes.txt
# Re-hash source to confirm no changes occurred
sha256sum /dev/sdb | tee /cases/case-2024-001/hashes/source_hash_after.txt
diff /cases/case-2024-001/hashes/source_hash_before.txt \
/cases/case-2024-001/hashes/source_hash_after.txtStep 6: Document the Acquisition Process
# Generate acquisition report
cat << 'EOF' > /cases/case-2024-001/notes/acquisition_report.txt
DISK IMAGE ACQUISITION REPORT
==============================
Case Number: 2024-001
Date/Time: $(date -u +"%Y-%m-%d %H:%M:%S UTC")
Examiner: [Name]
Source Device: /dev/sdb
Model: [from hdparm output]
Serial: [from hdparm output]
Size: [from fdisk output]
Acquisition Tool: dcfldd v1.9.1
Block Size: 4096
Write Blocker: [Hardware/Software model]
Image File: evidence.dd
Image Hash (SHA-256): [from hash file]
Source Hash (SHA-256): [from hash file]
Hash Match: YES/NO
Errors During Acquisition: [from error log]
EOF
# Compress logs for archival
tar -czf /cases/case-2024-001/acquisition_package.tar.gz \
/cases/case-2024-001/hashes/ \
/cases/case-2024-001/logs/ \
/cases/case-2024-001/notes/
Key Concepts
| Concept | Description | |---------|-------------| | Bit-for-bit copy | Exact replica of
Read more
name: acquiring-disk-image-with-dd-and-dcfldd description: Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis. domain: cybersecurity subdomain: digital-forensics tags: - forensics - disk-imaging - evidence-acquisition - dd - dcfldd - hash-verification version: '1.0' author: mahipal license: Apache-2.0 nist_csf: - RS.AN-03 - DE.AE-02 - RS.MA-01 mitre_attack: - T1006 - T1005 - T1025 - T1074.001
Acquiring Disk Image with dd and dcfldd
When to Use
- When you need to create a forensic copy of a suspect drive for investigation
- During incident response when preserving volatile disk evidence before analysis
- When law enforcement or legal proceedings require a verified bit-for-bit copy
- Before performing any destructive analysis on a storage device
- When acquiring images from physical drives, USB devices, or memory cards
Prerequisites
- Linux-based forensic workstation (SIFT, Kali, or any Linux distro)
- `dd` (pre-installed on all Linux systems) or `dcfldd` (enhanced forensic version)
- Write-blocker hardware or software write-blocking configured
- Destination drive with sufficient storage (larger than source)
- Root/sudo privileges on the forensic workstation
- SHA-256 or MD5 hashing utilities (`sha256sum`, `md5sum`)
Workflow
Step 1: Identify the Target Device and Enable Write Protection
# List all connected block devices to identify the target
lsblk -o NAME,SIZE,TYPE,MOUNTPOINT,MODEL
# Verify the device details
fdisk -l /dev/sdb
# Enable software write-blocking (if no hardware blocker)
blockdev --setro /dev/sdb
# Verify read-only status
blockdev --getro /dev/sdb
# Output: 1 (means read-only is enabled)
# Alternatively, use udev rules for persistent write-blocking
echo 'SUBSYSTEM=="block", ATTRS{serial}=="WD-WCAV5H861234", ATTR{ro}="1"' > /etc/udev/rules.d/99-writeblock.rules
udevadm control --reload-rulesStep 2: Prepare the Destination and Document the Source
# Create case directory structure
mkdir -p /cases/case-2024-001/{images,hashes,logs,notes}
# Document source drive information
hdparm -I /dev/sdb > /cases/case-2024-001/notes/source_drive_info.txt
# Record the serial number and model
smartctl -i /dev/sdb >> /cases/case-2024-001/notes/source_drive_info.txt
# Pre-hash the source device
sha256sum /dev/sdb | tee /cases/case-2024-001/hashes/source_hash_before.txtStep 3: Acquire the Image Using dd
# Basic dd acquisition with progress and error handling dd if=/dev/sdb of=/cases/case-2024-001/images/evidence.dd \ bs=4096 \ conv=noerror,sync \ status=progress 2>&1 | tee /cases/case-2024-001/logs/dd_acquisition.log # For compressed images to save space dd if=/dev/sdb bs=4096 conv=noerror,sync status=progress | \ gzip -c > /cases/case-2024-001/images/evidence.dd.gz # Using dd with a specific count for partial acquisition dd if=/dev/sdb of=/cases/case-2024-001/images/first_1gb.dd \ bs=1M count=1024 status=progress
Step 4: Acquire Using dcfldd (Preferred Forensic Method)
# Install dcfldd if not present apt-get install dcfldd # Acquire image with built-in hashing and split output dcfldd if=/dev/sdb \ of=/cases/case-2024-001/images/evidence.dd \ hash=sha256,md5 \ hashwindow=1G \ hashlog=/cases/case-2024-001/hashes/acquisition_hashes.txt \ bs=4096 \ conv=noerror,sync \ errlog=/cases/case-2024-001/logs/dcfldd_errors.log # Split large images into manageable segments dcfldd if=/dev/sdb \ of=/cases/case-2024-001/images/evidence.dd \ hash=sha256 \ hashlog=/cases/case-2024-001/hashes/split_hashes.txt \ bs=4096 \ split=2G \ splitformat=aa # Acquire with verification pass dcfldd if=/dev/sdb \ of=/cases/case-2024-001/images/evidence.dd \ hash=sha256 \ hashlog=/cases/case-2024-001/hashes/verification.txt \ vf=/cases/case-2024-001/images/evidence.dd \ verifylog=/cases/case-2024-001/logs/verify.log
Step 5: Verify Image Integrity
# Hash the acquired image
sha256sum /cases/case-2024-001/images/evidence.dd | \
tee /cases/case-2024-001/hashes/image_hash.txt
# Compare source and image hashes
diff <(sha256sum /dev/sdb | awk '{print $1}') \
<(sha256sum /cases/case-2024-001/images/evidence.dd | awk '{print $1}')
# If using split images, verify each segment
sha256sum /cases/case-2024-001/images/evidence.dd.* | \
tee /cases/case-2024-001/hashes/split_image_hashes.txt
# Re-hash source to confirm no changes occurred
sha256sum /dev/sdb | tee /cases/case-2024-001/hashes/source_hash_after.txt
diff /cases/case-2024-001/hashes/source_hash_before.txt \
/cases/case-2024-001/hashes/source_hash_after.txtStep 6: Document the Acquisition Process
# Generate acquisition report cat << 'EOF' > /cases/case-2024-001/notes/acquisition_report.txt DISK IMAGE ACQUISITION REPORT ============================== Case Number: 2024-001 Date/Time: $(date -u +"%Y-%m-%d %H:%M:%S UTC") Examiner: [Name] Source Device: /dev/sdb Model: [from hdparm output] Serial: [from hdparm output] Size: [from fdisk output] Acquisition Tool: dcfldd v1.9.1 Block Size: 4096 Write Blocker: [Hardware/Software model] Image File: evidence.dd Image Hash (SHA-256): [from hash file] Source Hash (SHA-256): [from hash file] Hash Match: YES/NO Errors During Acquisition: [from error log] EOF # Compress logs for archival tar -czf /cases/case-2024-001/acquisition_package.tar.gz \ /cases/case-2024-001/hashes/ \ /cases/case-2024-001/logs/ \ /cases/case-2024-001/notes/
Key Concepts
| Concept | Description | |---------|-------------| | Bit-for-bit copy | Exact replica of
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
Repo: mukul975/Anthropic-Cybersecurity-Skills
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