Octobre 2026
3 CVE
-
CVE-2026-114612 9.9 Critique
BerriAI litellm
LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format. From 1.87.0 until 1.100.4, 1.101.3, 1.102.2, 1.103.1, and 1.104.0-rc.2, the proxy reuses one cryptographic context for at-rest secrets and session tokens, allowing an authenticated internal user to have crafted metadata containing a forged administrator credential encrypted and returned by the API-key flow. Replaying that ciphertext as a bearer token causes the proxy to trust the forged proxy administrator identity, permitting administrative access and arbitrary commands through the MCP stdio endpoint. Versions 1.87.0 through 1.90.x require EXPERIMENTAL_UI_LOGIN to be enabled, while versions after 1.91.0 are exploitable in the default configuration. This issue was fixed in LiteLLM 1.100.4, 1.101.3, 1.102.2, 1.103.1, and 1.104.0-rc.2.
-
CVE-2026-108575 6.3 Moyenne
BerriAI LiteLLM
A vulnerability has been found in BerriAI LiteLLM up to 1.94.0. This affects the function get_secret of the file secret_managers/main.py of the component Secret Resolution. The manipulation of the argument api_key leads to improper authorization. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
-
CVE-2026-108574 4.3 Moyenne
BerriAI LiteLLM
A flaw has been found in BerriAI LiteLLM up to 1.95.0. Affected by this issue is the function ui_view_session_spend_logs of the file litellm/proxy/spend_tracking/spend_management_endpoints.py of the component Spend Tracking. Executing a manipulation of the argument session_id can lead to authorization bypass. It is possible to launch the attack remotely. The exploit has been published and may be used. Upgrading to version 1.96.0 can resolve this issue. This patch is called 722d9ffa4f6c5ae15702ab9ab2c5f6bf1688308b. The affected component should be upgraded.