CVE-2025-62164
中文标题:
（暂无数据）
英文标题:
VLLM deserialization vulnerability leading to DoS and potential RCE
漏洞描述
中文描述:
（暂无数据）
英文描述:
vLLM is an inference and serving engine for large language models (LLMs). From versions 0.10.2 to before 0.11.1, a memory corruption vulnerability could lead to a crash (denial-of-service) and potentially remote code execution (RCE), exists in the Completions API endpoint. When processing user-supplied prompt embeddings, the endpoint loads serialized tensors using torch.load() without sufficient validation. Due to a change introduced in PyTorch 2.8.0, sparse tensor integrity checks are disabled by default. As a result, maliciously crafted tensors can bypass internal bounds checks and trigger an out-of-bounds memory write during the call to to_dense(). This memory corruption can crash vLLM and potentially lead to code execution on the server hosting vLLM. This issue has been patched in version 0.11.1.
CWE类型:
标签:
受影响产品
| 厂商 | 产品 | 版本 | 版本范围 | 平台 | CPE |
|---|---|---|---|---|---|
| vllm-project | vllm | >= 0.10.2, < 0.11.1 | - | - |
cpe:2.3:a:vllm-project:vllm:>=_0.10.2,_<_0.11.1:*:*:*:*:*:*:*
|
| vllm | vllm | * | - | - |
cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*
|
| vllm | vllm | 0.11.1 | - | - |
cpe:2.3:a:vllm:vllm:0.11.1:rc0:*:*:*:*:*:*
|
解决方案
中文解决方案:
英文解决方案:
临时解决方案:
参考链接
CVSS评分详情
3.1 (cna)
HIGHCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
时间信息
利用信息
数据源详情
| 数据源 | 记录ID | 版本 | 提取时间 |
|---|---|---|---|
| CVE | cve_CVE-2025-62164 |
2025-11-25 02:04:31 | 2026-01-12 02:12:12 |
| NVD | nvd_CVE-2025-62164 |
2025-12-05 03:00:09 | 2026-01-12 02:27:57 |
版本与语言
安全公告
变更历史
查看详细变更
- affected_products_count: 1 -> 3
- data_sources: ['cve'] -> ['cve', 'nvd']