Executive Summary
| Informations | |||
|---|---|---|---|
| Name | CVE-2025-32444 | First vendor Publication | 2025-04-30 |
| Vendor | Cve | Last vendor Modification | 2025-05-28 |
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
| vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Versions starting from 0.6.5 and prior to 0.8.5, having vLLM integration with mooncake, are vulnerable to remote code execution due to using pickle based serialization over unsecured ZeroMQ sockets. The vulnerable sockets were set to listen on all network interfaces, increasing the likelihood that an attacker is able to reach the vulnerable ZeroMQ sockets to carry out an attack. vLLM instances that do not make use of the mooncake integration are not vulnerable. This issue has been patched in version 0.8.5. |
Original Source
| Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2025-32444 |
CWE : Common Weakness Enumeration
| % | Id | Name |
|---|---|---|
| 100 % | CWE-502 | Deserialization of Untrusted Data |
CPE : Common Platform Enumeration
| Type | Description | Count |
|---|---|---|
| Application | 1 |
Sources (Detail)
Alert History
| Date | Informations |
|---|---|
| 2025-05-29 00:22:38 |
|
| 2025-05-27 02:57:11 |
|
