Detections
Analytics

SCA: security update for vllm (GHSA-vc6m-hm49-g9qg)

high Tenable Cloud Security Plugin ID 425768

Description

There are packages installed that are affected by a vulnerability referenced in the following CVE:

 - vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Versions starting
 from 0.8.0 and prior to 0.8.5 are affected by a critical performance vulnerability in the input
 preprocessing logic of the multimodal tokenizer. The code dynamically replaces placeholder tokens (e.g.,
 <|audio_|>, <|image_|>) with repeated tokens based on precomputed lengths. Due to ​​inefficient list
 concatenation operations​​, the algorithm exhibits ​​quadratic time complexity (O(n²))​​, allowing
 malicious actors to trigger resource exhaustion via specially crafted inputs. This issue has been patched
 in version 0.8.5. (CVE-2025-46560)

See Also

https://github.com/advisories/GHSA-vc6m-hm49-g9qg

Plugin Details

Severity: High

ID: 425768

Version: Revision 1.11

Type: Local

Family: SCA Checks

Published: 4/29/2025

Updated: 7/2/2026

Supported Sensors: Tenable Cloud Security, Tenable Self-Hosted Container Security

Risk Information

VPR

Risk Factor: Low

Score: 3

Percentile: 23.18

Vendor

Vendor Severity: Medium

CVSS v2

Risk Factor: High

Base Score: 7.8

Temporal Score: 6.1

Vector: CVSS2#AV:N/AC:L/Au:N/C:N/I:N/A:C

CVSS Score Source: CVE-2025-46560

CVSS v3

Risk Factor: High

Base Score: 7.5

Temporal Score: 6.7

Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Temporal Vector: CVSS:3.0/E:P/RL:O/RC:C

Vulnerability Information

Exploit Available: true

Exploit Ease: Exploits are available

Patch Publication Date: 4/29/2025

Vulnerability Publication Date: 4/29/2025

Reference Information

CVE: CVE-2025-46560