Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, Volatility, PCAP, Docker images, coredumps, side-channel power traces, DTMF audio spectrograms, packet timing analysis, CD audio disc images, or recovering deleted files and credentials.
Detected risks:
The ctf-forensics skill is designed to assist cybersecurity enthusiasts, penetration testers, and Capture The Flag (CTF) participants in performing advanced digital forensics and signal analysis. It provides structured techniques for analyzing a wide variety of digital artifacts including disk images, memory dumps, network captures, event logs, cryptocurrency transactions, steganographic content, and system-specific data like Windows registry and PDF files. By consolidating specialized methods for these tasks, this skill helps users uncover hidden information, recover deleted data, trace malicious activity, and solve complex CTF challenges more efficiently.
Key features of this skill include comprehensive support for disk and memory forensics, network traffic analysis, peripheral capture reconstruction, and recovery of deleted files and credentials. It integrates widely used tools and frameworks such as Volatility for memory analysis, Wireshark for packet inspection, binwalk for firmware and binary extraction, and specialized Python and Ruby packages for signal and image analysis. Additionally, it provides guidance on installing prerequisite tools across Linux and macOS platforms, ensuring users have the necessary environment to execute forensic operations. Supporting documentation covers advanced topics like RAID recovery, snapshot analysis, steganography, TCP/ICMP covert channels, and blockchain-related investigations.
This skill is particularly useful for CTF participants, digital forensic analysts, cybersecurity students, and security researchers. Its target use cases include analyzing compromised systems, reconstructing deleted or hidden data, investigating network breaches, and performing reverse engineering of complex artifacts. By streamlining access to forensic techniques and resources, it reduces the learning curve for both beginners and advanced practitioners and provides a centralized reference for tackling practical challenges in competitive and professional forensic scenarios.
You can utilize the skill to analyze disk images by mounting them, carving files, and using Volatility for memory dumps. It supports various formats including VM snapshots, VMDK, and raw images.
The skill requires a filesystem-based agent with Bash, Python 3, and internet access for tool installation. On Linux, packages like binwalk, foremost, and tshark are needed, while macOS users should install equivalents via Homebrew. Python and Ruby packages are also required.
Yes, it includes techniques for analyzing PCAP files, packet timing channels, TLS key extraction, USB/HID traffic reconstruction, and advanced network attacks, supporting both basic and advanced network forensic investigations.
The skill focuses on digital forensics artifacts typically encountered in CTF challenges. While it covers a broad range of data types, analysis of proprietary or unsupported formats may require additional tools not included in the skill.
No, the skill is marked as not user-invocable and is intended to be utilized through a compatible filesystem-based agent that manages the execution of the forensic techniques.
Quick Setup:
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ljagiello/ctf-skills