CVE-2025-32375
BentoML RCE (Remote Code Execution)
Description
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.8, there was an insecure deserialization in BentoML's runner server. By setting specific headers and parameters in the POST request, it is possible to execute any unauthorized arbitrary code on the server, which will grant the attackers to have the initial access and information disclosure on the server. This vulnerability is fixed in 1.4.8.
INFO
Published Date :
April 9, 2025, 4:15 p.m.
Last Modified :
April 22, 2025, 4:52 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2025-32375 has a 2 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-2025-32375
.
URL | Resource |
---|---|
https://github.com/bentoml/BentoML/security/advisories/GHSA-7v4r-c989-xh26 | Exploit Vendor Advisory |
https://github.com/bentoml/BentoML/security/advisories/GHSA-7v4r-c989-xh26 | Exploit Vendor Advisory |
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).
This repository includes everything needed to run a PoC exploit for CVE-2025-32375 in a Docker environment. It runs the latest vulnerable version of BentoML (1.4.7).
Dockerfile Python
None
Python Dockerfile PowerShell
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-32375
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-32375
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]
Apr. 22, 2025
Action Type Old Value New Value Added CVSS V3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Added CPE Configuration OR *cpe:2.3:a:bentoml:bentoml:*:*:*:*:*:*:*:* versions from (including) 1.0.0 up to (excluding) 1.4.8 Added Reference Type CISA-ADP: https://github.com/bentoml/BentoML/security/advisories/GHSA-7v4r-c989-xh26 Types: Exploit, Vendor Advisory Added Reference Type GitHub, Inc.: https://github.com/bentoml/BentoML/security/advisories/GHSA-7v4r-c989-xh26 Types: Exploit, Vendor Advisory -
New CVE Received by [email protected]
Apr. 09, 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. Prior to 1.4.8, there was an insecure deserialization in BentoML's runner server. By setting specific headers and parameters in the POST request, it is possible to execute any unauthorized arbitrary code on the server, which will grant the attackers to have the initial access and information disclosure on the server. This vulnerability is fixed in 1.4.8. Added CVSS V3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Added CWE CWE-502 Added Reference https://github.com/bentoml/BentoML/security/advisories/GHSA-7v4r-c989-xh26 -
CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0
Apr. 09, 2025
Action Type Old Value New Value Added Reference https://github.com/bentoml/BentoML/security/advisories/GHSA-7v4r-c989-xh26
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-32375
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-2025-32375
weaknesses.