What is Cantordust-Viz?

Cantordust-Viz is a binary visualization tool that converts raw data into visual patterns, allowing security researchers to spot structural features that automated algorithms often miss.

Can this skill help with malware classification?

Yes, it is highly effective for visual fingerprinting, allowing researchers to see structural similarities between different malware samples within the same family.

Does it work with other security tools?

Yes, it is designed to work alongside tools like skill-embedding-vss and radare2-hatchery for a comprehensive binary analysis workflow.

Why use visual analysis instead of machine learning?

While machine learning is fast, human pattern recognition is often superior at identifying non-linear structures and surviving complex obfuscation that can confuse embeddings.

How does it integrate with Ghidra?

It functions as a plugin that can be added to the Ghidra Script Manager, allowing you to visualize the binary you are currently analyzing in the Ghidra environment.

Cantordust Binary Visualization

Name: Cantordust Binary Visualization
Author: plurigrid

byplurigrid

•

Security & Testing

Visualizes binary data as bitmaps to enable human pattern recognition for reverse engineering and security analysis.

Cantordust is a specialized binary visualization skill that bridges the gap between algorithmic analysis and human intuition. By converting raw binary data into 2D projections and bitmaps within environments like Ghidra, it reveals structural patterns, hidden code, and obfuscation techniques that traditional machine learning models or embeddings might overlook. It is particularly effective for identifying malware families, verifying embedding similarities, and performing cross-architecture comparisons where traditional signature-based tools struggle to find commonality.

Key Features

01Complements ML embeddings by providing human-verifiable visual evidence

022 GitHub stars

03Integrates seamlessly with Ghidra's Script Manager

04Generates 2D bitmap projections of binary data for visual analysis

05Identifies structural patterns in obfuscated or packed binaries

06Enables visual fingerprinting for malware family classification

Use Cases

01Performing visual audits of unknown firmware and hardware binary blobs

02Detecting hidden structures and undocumented code in obfuscated binaries

03Confirming binary similarity when automated ML embeddings are inconclusive

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi cantordust-viz

For use in Claude.ai and ChatGPT

Download Skill