Exposure of Sensitive Information Through Metadata Affecting litellm package, versions [,1.65.5)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-PYTHON-LITELLM-9511161
- published24 Mar 2025
- disclosed20 Mar 2025
- creditDavid Manouchehri
Introduced: 20 Mar 2025
NewCVE-2025-0330 (opens in a new tab)How to fix?
Upgrade litellm to version 1.65.5 or higher.
Overview
litellm is a Library to easily interface with LLM API providers
Affected versions of this package are vulnerable to Exposure of Sensitive Information Through Metadata due to an issue in proxy_server.py. An attacker can obtain sensitive information, including API keys, by triggering error conditions during the parsing of team settings.