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This article details a critical supply chain attack targeting packages within the Mastra-AI ecosystem, where malicious code was injected to steal credentials and cryptocurrency data from developer environments. The incident highlights significant risks associated with AI development tooling when compromised dependencies are used in CI/CD pipelines or build systems for machine learning applications.
Hackers Compromised 140+ Mastra npm Packages to Deploy Password-Stealing Malware
A sophisticated supply chain attack has targeted the Mastra-AI npm ecosystem, with researchers from Microsoft and Socket identifying over 141 compromised packages designed to silently deploy an infostealer payload on developer machines, CI/CD runners, and build environments. The campaign, detected on June 17, 2026, exploited a typosquatting dependency to deliver multi-stage malware capable of stealing […] The post Hackers Compromised 140+ Mastra npm Packages to Deploy Password-Stealing Malware appeared first on Cyber Security News.
A sophisticated supply chain attack has targeted the Mastra-AI npm ecosystem, with researchers from Microsoft and Socket identifying over 141 compromised packages designed to silently deploy an infostealer payload on developer machines, CI/CD runners, and build environments. The campaign, detected on June 17, 2026, exploited a typosquatting dependency to deliver multi-stage malware…
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