CVE-2025-54381

CRITICAL EPSS 95.4%
Published Jul 29, 202511mo ago · Modified Jun 17, 20261w ago
9.9 CVSS 3.1
Critical
Find Similar
Published Jul 29, 2025 11mo ago
Last Modified Jun 17, 2026 1w ago

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.

CVSS Details

Base Score
9.9
Exploitability
3.9
Impact
5.3
Vector string
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:L
Attack Vector Network
Attack Complexity Low
Privileges Required None
User Interaction None
Scope Changed
Confidentiality High
Integrity Low
Availability Low

Threat Intelligence

EPSS Exploit Probability
95.4% percentile
Exploit & Patch Status
Public Exploit Known
Patch Available

Weaknesses 1

CWE-918 Server-Side Request Forgery (SSRF) Validation

Affected Products 1

VendorProductVersionRange
bentomlbentoml*≥1.4.0  –  <1.4.19

References 2

  • github.com https://github.com/bentoml/BentoML/commit/534c3584621da4ab954bdc3d814cc66b95ae5fb8
    Patch
  • github.com https://github.com/bentoml/BentoML/security/advisories/GHSA-mrmq-3q62-6cc8
    ExploitMitigationVendor Advisory

Remediation

  • github.com https://github.com/bentoml/BentoML/commit/534c3584621da4ab954bdc3d814cc66b95ae5fb8
    Patch