LiteLLM — Vulnerabilities & Security Advisories 30

This page aggregates security weaknesses related to LiteLLM, an open-source proxy server designed to standardize calls to various large language model APIs. The content here focuses on vulnerabilities within the LiteLLM ecosystem, including issues found in the proxy layer, underlying dependencies, and configuration patterns that affect the security posture of applications utilizing this middleware. The data collected spans a significant period, covering historical advisories released by the maintainers and third-party researchers since the project’s initial public availability. By reviewing this aggregated information, security professionals and developers can track specific advisory updates issued by the LiteLLM team to stay informed about emerging threats. Users can also gain a deeper understanding of common vulnerability classes affecting proxy-based LLM integrations, allowing them to implement more robust security controls. Furthermore, this resource enables organizations to look up the specific vulnerability history of their LiteLLM deployments, facilitating better risk assessment and prioritization of patching efforts. This approach helps teams identify recurring patterns in reported issues and understand the broader context of security risks associated with managing multiple AI model endpoints through a single unified interface.