CVE-2025-25183
2 advisories.
PyPI/vllm CVE-2025-25183: low 2.6, EPSS 0.19%
vLLM uses Python 3.12 built-in hash() which leads to predictable hash collisions in prefix cache
Action: Upgrade vllm to 0.7.2 or later.
pip install vllm==0.7.2Affected
| introduced | fixed | last affected |
|---|---|---|
| 0 | 0.7.2 | - |
Fixed versions
| 0.7.2 |
Sources
- osv: GHSA-rm76-4mrf-v9r8
- https://github.com/vllm-project/vllm/security/advisories/GHSA-rm76-4mrf-v9r8
- https://nvd.nist.gov/vuln/detail/CVE-2025-25183
- https://github.com/python/cpython/pull/99541
- https://github.com/vllm-project/vllm/pull/12621
- https://github.com/python/cpython/commit/432117cd1f59c76d97da2eaff55a7d758301dbc7
- https://github.com/vllm-project/vllm/commit/73b35cca7f3745d07d439c197768b25d88b6ab7f
- https://github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2025-62.yaml
- https://github.com/vllm-project/vllm
CVE-2025-25183 · published · modified · JSON
PyPI/vllm CVE-2025-25183: unknown, EPSS 0.19%
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
Action: Upgrade vllm to 0.7.2 or later.
pip install vllm==0.7.2Affected
| introduced | fixed | last affected |
|---|---|---|
| 0 | 0.7.2 | - |
Fixed versions
| 0.7.2 |
Sources
- osv: PYSEC-2025-62
- https://github.com/vllm-project/vllm/security/advisories/GHSA-rm76-4mrf-v9r8
- https://github.com/python/cpython/commit/432117cd1f59c76d97da2eaff55a7d758301dbc7
- https://github.com/vllm-project/vllm/pull/12621
CVE-2025-25183 · published · modified · JSON