CVE-2025-54381

critical

Description

BentoML is a Python library for building online serving systems optimized for AI apps and model inference. In versions 1.4.0 until 1.4.19, the file upload processing system contains an SSRF vulnerability that allows unauthenticated remote attackers to force the server to make arbitrary HTTP requests. The vulnerability stems from the multipart form data and JSON request handlers, which automatically download files from user-provided URLs without validating whether those URLs point to internal network addresses, cloud metadata endpoints, or other restricted resources. The documentation explicitly promotes this URL-based file upload feature, making it an intended design that exposes all deployed services to SSRF attacks by default. Version 1.4.19 contains a patch for the issue.

From the Tenable Blog

How Tenable Found a Way To Bypass a Patch for BentoML’s Server-Side Request Forgery Vulnerability CVE-2025-54381

Published: 2025-09-17

Tenable Research recently discovered that the original patch for a critical vulnerability affecting BentoML could be bypassed. In this blog, we explain in detail how we discovered this patch bypass in this widely used open source tool. The vulnerability is now fully patched.