ctf-forensics-extraction

Extract embedded files and metadata from firmware, memory dumps, and PCAP captures.

5|3|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/zebbern/termstack --skill ctf-forensics-extraction
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ctf-forensics-extraction
Source: https://github.com/zebbern/termstack/tree/main/.github/skills/ctf-forensics-extraction
Command: npx skills add https://github.com/zebbern/termstack --skill ctf-forensics-extraction

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Digital forensics extraction pipelines for CTF challenges — binwalk, Volatility, PCAP, steganography, disk images, metadata. Lean skill with on-demand reference files.

Core Features & Use Cases

  • Embedded file extraction from firmware using standard and deep binwalk pipelines
  • Memory analysis with Volatility for process, netscan, and file metadata extraction
  • PCAP object export, DNS/HTTP extraction, and steganography detection
  • On-demand reference templates for disk image, metadata, and forensic workflows

Quick Start

Run the forensic extraction workflow on a firmware image, memory dump, or PCAP file to automatically extract embedded files and metadata using the included templates.

Frequently Asked Questions about ctf-forensics-extraction

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract embedded files from a firmware image using binwalk?

Memory analysis with Volatility extracts process metadata, network connections, and file artifacts from memory dumps. You can run Volatility workflows to analyze process lists, netscan results, and file metadata from complex memory evidence.

What is the best way to extract objects and DNS data from a PCAP capture?

PCAP extraction exports network objects and parses DNS or HTTP traffic from packet captures. The workflow examines PCAP captures to surface hidden data and network indicators during forensic analysis.

How does steganography detection work for CTF forensics challenges?

Steganography detection identifies hidden data embedded within digital evidence sources. The extraction pipeline applies steganography analysis techniques to surface concealed artifacts and metadata across complex forensic evidence.

Can I automate forensic extraction across firmware, memory, and PCAP sources?

Yes, structured forensic workflows automate extraction across firmware images, memory dumps, and PCAP captures. The pipeline uses reference templates to automate extraction, analysis, and artifact reporting for complex digital evidence.

Do I need reference templates to analyze disk images and metadata?

On-demand reference templates guide disk image analysis and metadata extraction workflows. These templates provide structured forensic workflows to ensure consistent artifact reporting and extraction across complex digital evidence sources.