PT-2026-51172 · Vllm+1 · Vllm+1
CVSS v3.1
8.8
High
| Vector | AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |
Name of the Vulnerable Software and Affected Versions
vLLM versions 0.10.2 through 0.12.x
Description
Multimodal embeddings processing lacks sparse tensor validation. Since PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests containing malformed tensor indices, such as negative or out-of-bounds values, when the
prompt-embeds feature is enabled. This can lead to crashes, resource exhaustion resulting in denial of service, or potential out-of-bounds/write-what-where memory corruption.Recommendations
Update to version 0.13.0 or later.
As a temporary workaround, disable the
prompt-embeds feature to minimize the risk of exploitation.Exploit
Fix
DoS
Deserialization of Untrusted Data
RCE
Memory Corruption
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Related Identifiers
Affected Products
Pytorch
Vllm