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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.
