Use of Password Hash With Insufficient Computational Effort Affecting rhelai1/bootc-nvidia-rhel9 package, versions *


Severity

Recommended
0.0
low
0
10

Based on Red Hat Enterprise Linux security rating.

Threat Intelligence

EPSS
0.02% (5th percentile)

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  • Snyk IDSNYK-RHEL10-RHELAI1BOOTCNVIDIARHEL9-9892326
  • published28 Apr 2025
  • disclosed6 Feb 2025

Introduced: 6 Feb 2025

CVE-2025-25183  (opens in a new tab)
CWE-916  (opens in a new tab)

How to fix?

There is no fixed version for RHEL:10 rhelai1/bootc-nvidia-rhel9.

NVD Description

Note: Versions mentioned in the description apply only to the upstream rhelai1/bootc-nvidia-rhel9 package and not the rhelai1/bootc-nvidia-rhel9 package as distributed by RHEL. See How to fix? for RHEL:10 relevant fixed versions and status.

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Maliciously constructed statements can lead to hash collisions, resulting in cache reuse, which can interfere with subsequent responses and cause unintended behavior. Prefix caching makes use of Python's built-in hash() function. As of Python 3.12, the behavior of hash(None) has changed to be a predictable constant value. This makes it more feasible that someone could try exploit hash collisions. The impact of a collision would be using cache that was generated using different content. Given knowledge of prompts in use and predictable hashing behavior, someone could intentionally populate the cache using a prompt known to collide with another prompt in use. This issue has been addressed in version 0.7.2 and all users are advised to upgrade. There are no known workarounds for this vulnerability.

CVSS Base Scores

version 3.1