PolyMorph is an innovative open-source malware detector that uniquely targets polyglot files like APE, Zig, and WASM. It addresses a critical gap in the market, protecting against cross-platform threats that evade traditional antivirus solutions. By leveraging advanced detection techniques, PolyMorph helps ensure safer computing across various platforms.
PolyMorph is an innovative open-source malware detection solution designed specifically for APE (Actually Portable Executable), Zig, and WASM (WebAssembly). This unique tool addresses the challenges posed by polyglot malware - files that operate as valid binaries across multiple formats, allowing them to evade traditional antivirus strategies.
Contemporary malware frequently utilizes polyglot files to bypass detection mechanisms. Below are some significant types of threats:
Research indicates that many existing antivirus systems are ineffective against these advanced threats. According to findings by Jana & Shmatikov (2012), 20 out of 36 malware detectors were bypassed by polyglots, and Cabrera-Arteaga (2024) reported a staggering 90% evasion rate against VirusTotal for WASM samples.
PolyMorph is the first open-source tool capable of detecting malware across APE, Zig, and WASM formats simultaneously, filling a significant gap in the current malware defense landscape.
To get started with PolyMorph, clone the repository and build the project using Cargo:
git clone https://github.com/xonoxitron/polymorph
cd polymorph
cargo build --release
# Scan a binary
./target/release/polymorph suspicious.exe
# Output in JSON format
./target/release/polymorph --json malware.wasm
The project includes a variety of examples, such as basic file scanning and batch processing, located in the examples/ directory. For detailed technical documentation, please refer to the various guides available:
Contributions to the project are encouraged, and additional information can be found in the CONTRIBUTING.md file.
Join the effort to enhance security in a digital landscape where traditional defenses often fall short.
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