CVE-2025-54381
BentoML SSRF Vulnerability
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.
INFO
Published Date :
July 29, 2025, 11:15 p.m.
Last Modified :
Aug. 5, 2025, 3:41 p.m.
Remotely Exploit :
Yes !
Source :
[email protected]
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 3.1 | CRITICAL | [email protected] |
Public PoC/Exploit Available at Github
CVE-2025-54381 has a 3 public
PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2025-54381.
| URL | Resource |
|---|---|
| https://github.com/bentoml/BentoML/commit/534c3584621da4ab954bdc3d814cc66b95ae5fb8 | Patch |
| https://github.com/bentoml/BentoML/security/advisories/GHSA-mrmq-3q62-6cc8 | Exploit Vendor Advisory Mitigation |
| https://github.com/bentoml/BentoML/security/advisories/GHSA-mrmq-3q62-6cc8 | Exploit Vendor Advisory Mitigation |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-54381 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2025-54381
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
CVE-2025-54381
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Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-54381 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-54381 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
Initial Analysis by [email protected]
Aug. 05, 2025
Action Type Old Value New Value Added CPE Configuration OR *cpe:2.3:a:bentoml:bentoml:*:*:*:*:*:*:*:* versions from (including) 1.4.0 up to (excluding) 1.4.19 Added Reference Type GitHub, Inc.: https://github.com/bentoml/BentoML/commit/534c3584621da4ab954bdc3d814cc66b95ae5fb8 Types: Patch Added Reference Type GitHub, Inc.: https://github.com/bentoml/BentoML/security/advisories/GHSA-mrmq-3q62-6cc8 Types: Exploit, Mitigation, Vendor Advisory Added Reference Type CISA-ADP: https://github.com/bentoml/BentoML/security/advisories/GHSA-mrmq-3q62-6cc8 Types: Exploit, Mitigation, Vendor Advisory -
CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0
Jul. 30, 2025
Action Type Old Value New Value Added Reference https://github.com/bentoml/BentoML/security/advisories/GHSA-mrmq-3q62-6cc8 -
New CVE Received by [email protected]
Jul. 29, 2025
Action Type Old Value New Value Added 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. Added CVSS V3.1 AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:L Added CWE CWE-918 Added Reference https://github.com/bentoml/BentoML/commit/534c3584621da4ab954bdc3d814cc66b95ae5fb8 Added Reference https://github.com/bentoml/BentoML/security/advisories/GHSA-mrmq-3q62-6cc8