Over 2,500 Organizations Impacted by LiteLLM Supply Chain Attack
LiteLLM compromised via Trivy hack, distributing malware to over 2,500 organizations.
Summary
A supply chain attack on the LiteLLM Python library, stemming from a compromise of Aqua Security's Trivy scanner, has impacted over 2,500 organizations and 430,000 CI/CD pipelines. The compromised versions of LiteLLM, 1.82.7 and 1.82.8, contained malicious code that executed on Python invocation, leading to the potential theft of sensitive information like cloud keys and SSH keys.
Full text
More than 2,500 organizations and over 430,000 CI/CD pipelines were affected by the LiteLLM supply chain attack earlier this year, CloudSEK reports. The LiteLLM compromise was disclosed shortly after the supply chain attack on Aqua Security’s Trivy open source vulnerability scanner and was a direct result of it. According to CloudSEK, TeamPCP, the threat actor behind multiple high-profile open source software (OSS) compromises, never targeted LiteLLM directly. The open source Python library and proxy server was compromised after its CI pipeline installed the compromised Trivy version automatically. Two LiteLLM versions, namely 1.82.7 and 1.82.8, were pushed to PyPI, providing the hackers with access to all the information LiteLLM touched. “Trivy, then the [LiteLLM] build system, then the LiteLLM release: one unrevoked token, three tools deep. That chain is what turns a single credential leak into ecosystem-wide exposure,” CloudSEK notes. “Automated build systems compress time. Once a malicious artifact reaches a registry, scheduled jobs, dependency resolvers, ephemeral runners, developer laptops, and cached layers can copy it rapidly. The forensic and credential-rotation window therefore extends beyond package removal,” the company continues.Advertisement. Scroll to continue reading. The modified LiteLLM versions contained malicious code executed on every Python invocation, with no explicit import. The payload ran on all systems where the package was installed. According to CloudSEK, while the affected packages were live for only 40 minutes, the window was long enough for the malicious code to propagate, ultimately exposing 434,000 CI/CD pipelines and impacting over 2,500 organizations. Nvidia, AWS, Samsung, Salesforce, Cisco, ServiceNow, Accenture Federal Services, Siemens, Regeneron Pharmaceuticals, London Stock Exchange Group, FedEx, Volkswagen, Orange, HP, Deutsche Bahn, NGINX, and Zscaler are only some of the names on CloudSEK’s list. “The 2,500+ company and 434,000 pipeline figures describe reconstructed exposure. They should not be read as proof that every listed organization was successfully compromised or that every credential was stolen,” CloudSEK says, noting that compromise should be independently verified in each case. The LiteLLM supply chain attack led to broad sensitive information compromise: package publishing credentials, cloud keys, SSH keys, tokens, environment variables, runtime data, and AI provider keys, among others. Hackers could use these secrets to take over accounts, steal data, inject malicious commits, achieve persistence, move laterally, disrupt services, deploy malware, and mount various other types of attacks. Organizations should consider any secret accessible to the LiteLLM library as compromised, including those “present in process memory, injected into the job, stored on disk, or retrievable through an instance metadata service”. Potentially compromised secrets should be validated, then rotated alongside service accounts and sessions, and logs should be reviewed to determine the exposure scope and timeframe. According to CloudSEK, the next major supply chain attack will likely target AI infrastructure, as these systems have become “high-value junctions between data, identity, compute, and autonomous action”. “The incident was not only a software supply chain breach that happened to involve an AI product. It demonstrated that compromising an AI control point can expose the identities and systems around it. Future attacks are likely to target the AI layer precisely because it is connected to everything else,” CloudSEK notes. Related: Over 400 NPM Packages Infected in ChainDrop Supply Chain Attack Related: New GitHub, PyPI Policies Boost Supply Chain Security Related: Multiple Jscrambler Packages Impacted by Supply Chain Attack Related: More Klue Breach Victims Identified as Hackers Get Hacked Written By Ionut Arghire Ionut Arghire is an international correspondent for SecurityWeek. Daily Briefing Newsletter Subscribe to the SecurityWeek Email Briefing for the latest cybersecurity threats, trends, and expert insights. 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Indicators of Compromise
- malware — information-stealing malware