Advisory details:
pypa / vllm/PYSEC-2025-62
| Advisory ID | pypa/vllm/PYSEC-2025-62 |
| Aliases |
CVE-2025-25183
GHSA-rm76-4mrf-v9r8 PYSEC-2025-62 |
| Summary | 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. |
| Status | Published |
| Exploitability | 0.5 |
| Weighted Severity | 0.0 |
| Risk | |
| Affected and Fixed Packages | Package Details |
| Introduced and Fixed Package Commit Patches | Package Commit Patches Details |
| There are no known CWE. |
| System | Score | Found at |
|---|---|---|
| There are no known severity scores. | ||
No EPSS data available for this advisory.
| Patch URL | |
|---|---|
| There are no known patches. | |
Vector: SSVCv2/E:N/A:N/T:P/P:M/B:A/M:M/D:T/2025-02-07T20:33:57Z/
Decision: Track
Source URL: https://github.com/cisagov/vulnrichment/blob/develop/2025/25xxx/CVE-2025-25183.json
Source Advisory: vulnrichment/CVE-2025-25183
[{'Exploitation': 'none'},
{'Automatable': 'no'},
{'Technical Impact': 'partial'},
{'Mission Prevalence': 'minimal'},
{'Public Well-being Impact': 'material'},
{'Mission & Well-being': 'medium'}]