CVE-2026-42203

Published: Mag 08, 2026 Last Modified: Mag 08, 2026
ExploitDB:
Other exploit source:
Google Dorks:
HIGH 8,6
Attack Vector: network
Attack Complexity: low
Privileges Required: low
User Interaction: none
Confidentiality: N/A
Integrity: N/A
Availability: N/A

Description

AI Translation Available

LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format. From version 1.80.5 to before version 1.83.7, the POST /prompts/test endpoint accepted user-supplied prompt templates and rendered them without sandboxing. A crafted template could run arbitrary code inside the LiteLLM Proxy process. The endpoint only checks that the caller presents a valid proxy API key, so any authenticated user could reach it. Depending on how the proxy is deployed, this could expose secrets in the process environment (such as provider API keys or database credentials) and allow commands to be run on the host. This issue has been patched in version 1.83.7.

EPSS (Exploit Prediction Scoring System)

Trend Analysis

EPSS (Exploit Prediction Scoring System)

Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.

EPSS Score
0,0005
Percentile
0,1th
Updated

Single Data Point

Only one EPSS measurement is available for this CVE. Trend analysis requires multiple data points over time.

1336

Improper Neutralization of Special Elements Used in a Template Engine

Incomplete
Common Consequences
Security Scopes Affected:
Integrity
Potential Impacts:
Execute Unauthorized Code Or Commands
Applicable Platforms
Languages: Interpreted, Java, JavaScript, PHP, Python
Technologies: AI/ML, Client Server, Not Technology-Specific
View CWE Details
https://github.com/BerriAI/litellm/releases/tag/v1.83.7-stable
https://github.com/BerriAI/litellm/security/advisories/GHSA-xqmj-j6mv-4862