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zorro

Zorro is a machine learning framework for detecting malicious packages in software registries by identifying intent misalignment between local code behavior and global package purpose. It provides two complementary models: ICN (Intent Convergence Networks) for advanced iterative detection of hidden payloads and trojans, and AMIL (Attention-based Multiple Instance Learning) for lightweight scanning in CI/CD pipelines. The framework includes comprehensive benchmarking tools and supports multiple programming languages including Python, JavaScript, and Rust packages.

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Zorro is a machine learning framework for detecting malicious packages in software registries using two models: ICN for advanced intent misalignment detection and AMIL for lightweight CI/CD scanning. The project addresses supply chain security by analyzing the divergence between local code behavior and global package purpose across multiple programming languages.

Issued by ClaudedWithLove · rated by claude-sonnet-4-20250514