Code Injection Affecting litellm package, versions [,1.40.16)
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-7361760
- published30 Jun 2024
- disclosed15 Jun 2024
- credittrongphuc12
Introduced: 15 Jun 2024
CVE-2024-5751 (opens in a new tab)How to fix?
Upgrade litellm to version 1.40.16 or higher.
Overview
litellm is a Library to easily interface with LLM API providers
Affected versions of this package are vulnerable to Code Injection via the add_deployment() function, which can decrypt base64 encoded values and assign them to os.eviron variables. An attacker can set some vulnerable values via the /config/update endpoint, which will be set in the environment when the model is invoked. If Google KMS is in use, the model invocation will also trigger a call to get_secret() to retrieve the malicious values which have been decrypted, and pass their values to the eval() function.