Master CTF Forensics: AI-Driven Digital Analysis Skills

Master CTF Forensics: AI-Driven Digital Analysis Skills

Master CTF Forensics provides AI-driven digital forensics and signal analysis techniques tailored for Capture The Flag (CTF) challenges. This skill allows users to conduct detailed analyses of various digital artifacts, including disk images, memory dumps, event logs, network captures, and more.

What this skill does

• Analyzes disk images, memory dumps, and event logs for forensics purposes.
• Conducts network forensics including packet timing analysis and DTMF audio spectrograms.
• Performs steganography and PDF analysis.
• Analyzes Windows registry data, utilizing tools such as Volatility and Wireshark.
• Processes network-related data, including PCAP files for analysis.
• Handles cryptocurrency transactions and blockchain data.
• Recovers deleted files and credentials.

Who it is for

This skill is designed for developers, cybersecurity professionals, and teams using AI coding agents such as Claude Code, Cursor, and Codex, who require advanced forensics capabilities in CTF challenges.

Use cases

• CTF participants analyzing complex data in competitions.
• Cybersecurity teams performing incident response and digital investigations.
• Educational environments that teach digital forensics methodologies.
• Developers building AI-driven tools for forensic data processing.

Technical details

To utilize this skill, the following technical components and prerequisites are required:

• Python packages (all platforms): volatility3, Pillow, numpy, matplotlib.
• Linux (apt): binwalk, foremost, libimage-exiftool-perl, tshark, sleuthkit, ffmpeg, steghide, testdisk, john, pcapfix.
• macOS (Homebrew): binwalk, exiftool, wireshark, sleuthkit, ffmpeg, testdisk, john-jumbo.
• Ruby gems (all platforms): zsteg.

For authorised security testing, defensive research and educational use only.

Source & Licence

This package is built on open-source work published by ljagiello (ljagiello/ctf-skills) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.