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CVE-2025-54381

CriticalPublished

BentoML is Vulnerable to an SSRF Attack Through File Upload Processing

Published: Jul 29, 2025
Updated: Jul 30, 2025
Assigning CNA: GitHub_M
Evidence observed: Aug 8, 2026

Primary CVSS

9.9/ 10Critical

nvd · CVSS 3.1

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:L

EPSS probability estimate

14.0%

Moderate · next 30 days

Percentile: 96.4%
Model date: Sep 21, 2026

EPSS is a statistical estimate, not a certainty or a measure of impact. Combine it with CVSS, KEV status, exposure and your environment.

Summary

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.

Sources

bentoml_CVE-2025-54381Exploit
Ai相关

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