Malware Defense: A multi-agent detection engine and package firewall

In September 2025, the Shai-Hulud worm rapidly propagated through npm by compromising maintainer credentials to publish altered versions of legitimate packages, affecting hundreds of packages within hours. This incident illustrates a growing trend where attackers bypass traditional vulnerabilities by directly distributing malicious code, signed by trusted maintainers, to developers. The document discusses the limitations of traditional Software Composition Analysis (SCA) in detecting open-source malware and introduces Endor Labs' advanced detection engine, which uses a combination of code analysis, metadata, maintainer behavior, and install-time analysis, enhanced by LLM-based reasoning, to deliver precise verdicts. Additionally, it highlights the Package Firewall's role in translating these verdicts into immediate enforcement during installations, using YAML policy, version range matching, and minimum-age controls to prevent malware from reaching developer environments. The paper also identifies four primary malware delivery methods and explains how the Firewall intercepts each before they can compromise a developer's system.

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