Executive Summary
Informations | |||
---|---|---|---|
Name | CVE-2025-32375 | First vendor Publication | 2025-04-09 |
Vendor | Cve | Last vendor Modification | 2025-04-22 |
Security-Database Scoring CVSS v3
Cvss vector : CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H | |||
---|---|---|---|
Overall CVSS Score | 9.8 | ||
Base Score | 9.8 | Environmental Score | 9.8 |
impact SubScore | 5.9 | Temporal Score | 9.8 |
Exploitabality Sub Score | 3.9 | ||
Attack Vector | Network | Attack Complexity | Low |
Privileges Required | None | User Interaction | None |
Scope | Unchanged | Confidentiality Impact | High |
Integrity Impact | High | Availability Impact | High |
Calculate full CVSS 3.0 Vectors scores |
Security-Database Scoring CVSS v2
Cvss vector : | |||
---|---|---|---|
Cvss Base Score | N/A | Attack Range | N/A |
Cvss Impact Score | N/A | Attack Complexity | N/A |
Cvss Expoit Score | N/A | Authentication | N/A |
Calculate full CVSS 2.0 Vectors scores |
Detail
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. |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2025-32375 |
CWE : Common Weakness Enumeration
% | Id | Name |
---|---|---|
100 % | CWE-502 | Deserialization of Untrusted Data |
CPE : Common Platform Enumeration
Type | Description | Count |
---|---|---|
Application | 1 |
Sources (Detail)
Source | Url |
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Alert History
Date | Informations |
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2025-05-27 02:57:10 |
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