Agent skill

Acquiring Disk Image With Dd And Dcfldd

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

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.

Apache-2.0Auto-check passedDevOps & Cloud

Install Acquiring Disk Image With Dd And Dcfldd

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill acquiring-disk-image-with-dd-and-dcfldd -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills acquiring-disk-image-with-dd-and-dcfldd --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/acquiring-disk-image-with-dd-and-dcfldd .claude/skills/acquiring-disk-image-with-dd-and-dcfldd && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
acquiring-disk-image-with-dd-and-dcfldd
GitHub stars
34k
Token cost
~2.2k tokens
SKILL.md length
477 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

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.

  • Works in 6 steps: Identify the Target Device and Enable… → Prepare the Destination and Document the… → Acquire the Image Using dd → …
  • Imaging a suspect drive
  • SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 3 more sections
  • Runs Python scripts from its folder; calls apt-get and ssh

What it does

Acquiring Disk Image With Dd And Dcfldd is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. 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.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in DevOps & Cloud, covering Incident response. It works with Linux. The repository describes itself as: 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…. The licence is Apache-2.0.

When your agent uses it

  • Imaging a suspect drive
  • Memory card for investigation
  • Preserving volatile disk evidence during incident response
  • Producing a verified copy for legal

Example prompts

  • “/acquiring-disk-image-with-dd-and-dcfldd”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Identify the Target Device and Enable Write Protection
  2. Prepare the Destination and Document the Source
  3. Acquire the Image Using dd
  4. Acquire Using dcfldd (Preferred Forensic Method)
  5. Verify Image Integrity
  6. Document the Acquisition Process

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • apt-get
    • ssh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use ssh, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Acquiring Disk Image With Dd And Dcfldd loads about 2.2k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 117 tokens; SKILL.md has 477 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~117
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 477 words, ~2,200 tokens.

Download SKILL.mdSave it as .claude/skills/acquiring-disk-image-with-dd-and-dcfldd/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
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
bash
# 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-rules
Step 2: Prepare the Destination and Document the Source
bash
# 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.txt
Step 3: Acquire the Image Using dd
bash
# 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)
bash
# 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
bash
# 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.txt
Step 6: Document the Acquisition Process
bash
# 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

ConceptDescription
Bit-for-bit copyExact replica of source including unallocated space and slack space
Write blockerHardware or software mechanism preventing writes to evidence media
Hash verificationCryptographic hash comparing source and image to prove integrity
Block size (bs)Transfer chunk size affecting speed; 4096 or 64K typical for forensics
conv=noerror,syncContinue on read errors and pad with zeros to maintain offset alignment
Chain of custodyDocumented trail proving evidence has not been tampered with
Split imagingBreaking large images into smaller files for storage and transport
Raw/dd formatBit-for-bit image format without metadata container overhead
Show full SKILL.md (220 more words)Show less

Tools & Systems

ToolPurpose
ddStandard Unix disk duplication utility for raw imaging
dcflddDoD Computer Forensics Laboratory enhanced version of dd with hashing
dc3ddAnother forensic dd variant from the DoD Cyber Crime Center
sha256sumSHA-256 hash calculation for integrity verification
blockdevLinux command to set block device read-only mode
hdparmDrive identification and parameter reporting
smartctlS.M.A.R.T. data retrieval for drive health and identification
lsblkBlock device enumeration and identification

Common Scenarios

Scenario 1: Acquiring a Suspect Laptop Hard Drive Connect the drive via a Tableau T35u hardware write-blocker, identify as /dev/sdb, use dcfldd with SHA-256 hashing, split into 4GB segments for DVD archival, verify hashes match, document in case notes.

Scenario 2: Imaging a USB Flash Drive from a Compromised Workstation Use software write-blocking with blockdev --setro, acquire with dcfldd including MD5 and SHA-256 dual hashing, image is small enough for single file, verify and store on encrypted case drive.

Scenario 3: Remote Acquisition Over Network Use dd piped through netcat or ssh for remote acquisition: ssh root@remote "dd if=/dev/sda bs=4096" | dd of=remote_image.dd bs=4096, hash both ends independently to verify transfer integrity.

Scenario 4: Acquiring from a Failing Drive Use ddrescue first to recover readable sectors, then use dd with conv=noerror,sync to fill gaps with zeros, document which sectors were unreadable in the error log.

Output Format

Acquisition Summary:
  Source:       /dev/sdb (500GB Western Digital WD5000AAKX)
  Destination:  /cases/case-2024-001/images/evidence.dd
  Tool:         dcfldd 1.9.1
  Block Size:   4096 bytes
  Duration:     2h 15m 32s
  Bytes Copied: 500,107,862,016
  Errors:       0 bad sectors
  Source SHA-256:  a3f2b8c9d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1
  Image SHA-256:   a3f2b8c9d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1
  Verification:    PASSED - Hashes match

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/acquiring-disk-image-with-dd-and-dcfldd of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

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Works with

Questions about Acquiring Disk Image With Dd And Dcfldd

What does Acquiring Disk Image With Dd And Dcfldd do?

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. Acquiring Disk Image With Dd And Dcfldd is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. 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.

When should I use Acquiring Disk Image With Dd And Dcfldd?

Acquiring Disk Image With Dd And Dcfldd fits situations like: imaging a suspect drive; memory card for investigation; preserving volatile disk evidence during incident response; producing a verified copy for legal.

How do I install Acquiring Disk Image With Dd And Dcfldd in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill acquiring-disk-image-with-dd-and-dcfldd -a claude-code`. Or copy the skill folder (skills/acquiring-disk-image-with-dd-and-dcfldd in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/acquiring-disk-image-with-dd-and-dcfldd in your project. Claude Code loads it when a task matches its description.

How do I install Acquiring Disk Image With Dd And Dcfldd in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill acquiring-disk-image-with-dd-and-dcfldd -a codex`. Or copy the skill folder (skills/acquiring-disk-image-with-dd-and-dcfldd in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/acquiring-disk-image-with-dd-and-dcfldd in your project. Codex loads it when a task matches its description.

Can I use Acquiring Disk Image With Dd And Dcfldd in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill acquiring-disk-image-with-dd-and-dcfldd -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/acquiring-disk-image-with-dd-and-dcfldd, .gemini/skills/acquiring-disk-image-with-dd-and-dcfldd, .github/skills/acquiring-disk-image-with-dd-and-dcfldd and .opencode/skills/acquiring-disk-image-with-dd-and-dcfldd in your project.

What does Acquiring Disk Image With Dd And Dcfldd need to run?

Going by SKILL.md and its folder, Acquiring Disk Image With Dd And Dcfldd needs Python for the scripts in its folder and the command-line tools its instructions call (apt-get and ssh). Our summary lists: Python 3.

Does Acquiring Disk Image With Dd And Dcfldd access the network?

SKILL.md contains no URLs. Its commands use ssh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Acquiring Disk Image With Dd And Dcfldd safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Acquiring Disk Image With Dd And Dcfldd use?

Acquiring Disk Image With Dd And Dcfldd is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Acquiring Disk Image With Dd And Dcfldd use?

About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 646 tokens, read only when the agent opens those files.

What are the alternatives to Acquiring Disk Image With Dd And Dcfldd?

Skills that share tags, products or a category with Acquiring Disk Image With Dd And Dcfldd: Enterprise Agent Ops (affaan-m/ECC, 277k stars), Sentinel (vinayaklatthe/microsoft-security-skills, 175 stars), Forensics Osquery (AgentSecOps/SecOpsAgentKit, 220 stars) and Alibabacloud Ecs Sec Userspace (aliyun/alibabacloud-ecs-troubleshoot-skills, 148 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Acquiring Disk Image With Dd And Dcfldd?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.