CVE-2024-2952: LiteLLM has Server-Side Template Injection vulnerability in /completions endpoint
(updated )
BerriAI/litellm is vulnerable to Server-Side Template Injection (SSTI) via the /completions endpoint. The vulnerability arises from the hf_chat_template method processing the chat_template parameter from the tokenizer_config.json file through the Jinja template engine without proper sanitization. Attackers can exploit this by crafting malicious tokenizer_config.json files that execute arbitrary code on the server.
References
- github.com/BerriAI/litellm
- github.com/BerriAI/litellm/blob/0d803e13798db40aa7463e64a6bafaee386424f5/litellm/proxy/proxy_server.py
- github.com/BerriAI/litellm/commit/8a1cdc901708b07b7ff4eca20f9cb0f1f0e8d0b3
- github.com/BerriAI/litellm/issues/2949
- github.com/BerriAI/litellm/pull/2941
- github.com/advisories/GHSA-46cm-pfwv-cgf8
- github.com/pypa/advisory-database/tree/main/vulns/litellm/PYSEC-2026-387.yaml
- huntr.com/bounties/a9e0a164-6de0-43a4-a640-0cbfb54220a4
- nvd.nist.gov/vuln/detail/CVE-2024-2952
- pypi.org/project/litellm
Code Behaviors & Features
Detect and mitigate CVE-2024-2952 with GitLab Dependency Scanning
Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Dependency Scanning using SBOM also detects vulnerabilities from proprietary advisories that this site does not include. Learn more about Dependency Scanning using SBOM →