Genus Codes is a binary analysis platform that helps security researchers identify malware by comparing function-level code signatures across a database of known samples.
What We Do
We analyze executables (PE, ELF, Mach-O) at the function level, generating unique hashes for each function's behavior. When you submit a binary, we compare its functions against our database to identify:
Known malicious code - Functions that appear in confirmed malware samples
Benign matches - Functions found in legitimate software
Unique functions - Code we haven't seen before
How It Works
Our analysis pipeline:
Disassembles submitted binaries
Generates normalized function signatures (UUID5 hashes)
Compares against our database of analyzed samples
Returns match results with classification data
Use Cases
Malware Analysis - Quickly identify known malicious code in suspicious files
Threat Intelligence - Track code reuse across malware families
Security Research - Discover relationships between samples
Beta Status
Genus Codes is currently in active development. Features may change, and we're continuously expanding our database. Feedback and contributions are welcome.