CVE-2026-12773
BerriAI · litellm
A security weakness has been identified in BerriAI litellm that could potentially be leveraged by an attacker to compromise application integrity.
Executive summary
A high-severity weakness in BerriAI litellm requires proactive security measures to mitigate the risk of unauthorized exploitation.
Vulnerability
This vulnerability represents a weakness in the BerriAI litellm software, which may impact the security of the API proxy functionality. The authentication level required for exploitation is currently unspecified; therefore, default settings should be treated as potentially vulnerable.
Business impact
The CVSS score of 7.3 highlights the necessity of addressing this flaw to prevent unauthorized access or system manipulation. Failure to remediate could allow an attacker to disrupt LLM workflows, leading to business process failure and potential unauthorized consumption of compute resources.
Remediation
Immediate Action: Check the BerriAI official documentation for the latest security updates and apply all relevant patches to the litellm deployment.
Proactive Monitoring: Monitor for increased error rates or unexpected latency in LLM API requests, which may indicate attempted exploitation or system instability.
Compensating Controls: Ensure that the litellm service is running with the principle of least privilege, minimizing the permissions available to the service account.
Exploitation status
Public Exploit Available: false
Analyst recommendation
Administrators are advised to treat this vulnerability as a high-priority item. The immediate application of vendor-supplied security patches is the most effective way to secure the environment against potential exploitation of this identified weakness.