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ctf-misc-container-forensics

Analyzes CTF container images by extracting layers and decoding PyTorch/TLS data.

Updated May 25, 2026
Search Tags:#CTF#container forensics#OCI images#PyTorch analysis#TLS decryption
One-click install
npx skills add https://github.com/zaiyemeiyou404/Hermes --skill ctf-misc-container-forensics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ctf-misc-container-forensics
Source: https://github.com/zaiyemeiyou404/Hermes/tree/main/backup/skills/red-teaming/ctf-misc-container-forensics
Command: npx skills add https://github.com/zaiyemeiyou404/Hermes --skill ctf-misc-container-forensics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires binwalk, python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The CTF Misc — Container & Image Forensics skill unit assists with identifying, analyzing, and interpreting complex forensic scenarios in container and image files commonly encountered in Capture The Flag (CTF) challenges.

Core Features & Use Cases

  • OCI Image Layer Extraction: Extract and analyze OCI image layers to uncover deleted content, metadata, and potential attack vectors.
  • PyTorch Checkpoint Analysis: Inspect PyTorch checkpoints for hidden data and suspicious elements.
  • TLS Decryption Workflow: Offers a systematic approach to decrypt and analyze TLS communications from a pcap capture.
  • Custom Container Reversing: Reverse engineer encrypted containers for hidden content and cryptographic techniques.
  • Use Case: In a CTF challenge, when presented with a container image, use the skill to find sensitive information such as user credentials, configuration data, or hidden messages.

Quick Start

Utilize the ctf-misc-container-forensics skill to identify and analyze the content within a container image using the 'index.json' file to uncover hidden files and secrets.

Frequently Asked Questions about ctf-misc-container-forensics

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

FAQPage Schema
Can I decrypt TLS traffic from a pcap capture using Python scripts?▼

PyTorch checkpoint analysis inspects the checkpoint files for hidden messages and suspicious elements. By using Python scripts for advanced analysis, you can decode embedded information within the model weights and tensor data.

Does binwalk work for extracting embedded resources from PyTorch checkpoints?▼

Reversing encrypted containers involves extracting layers and decoding hidden information using tools like binwalk. This approach uncovers cryptographic techniques and extracts embedded resources to reveal hidden messages or files.

What are the limitations of using Python scripts for TLS decryption in container forensics?▼

Yes, binwalk is employed for embedded resource extraction within container images. It systematically scans the binary files to identify and extract hidden files, metadata, and potential attack vectors.

What are the limitations of using Python for TLS decryption and PyTorch analysis?▼

Python scripts for TLS decryption and PyTorch analysis require the original capture files and appropriate cryptographic keys. Without the correct private keys or specific checkpoint structures, the decryption and data extraction processes will fail.

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