Vulnerability · Published Oct 5, 2026 · Assigned by GitHub_M

CVE-2026-105754vLLM: Scale-out disaggregated multimodal transport trusts caller-supplied features

Medium 6.5

In plain English

A medium-severity improper input validation in vllm from vllm-project. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.3% (higher than 19% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)6.5Medium

Exploit odds (30 days)0.3%top 80.8% of all CVEs

Exploited in the wildNo reportsCISA SSVC: none

Attack toolingNoneno public tooling known

Official description

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the /inference/v1/generate endpoint in the disaggregated scale-out path accepts caller-supplied tensors in the features.kwargs_data field, cache identifiers in the features.mm_hashes field, ranges in the features.mm_placeholders field, and wire-selected multimodal field processors without rebinding them to the active model renderer contract. Forged grid geometry, field types, or non-positive placeholder lengths can terminate the shared EngineCore; when an attacker knows or can induce a victim's content hash, forged cache hashes can poison or retrieve cross-request encoder-cache state; and dropped sparse placeholder masks can alter replayed transport semantics. This issue is fixed in version 0.30.0.

Affected packages & fixed versions

Ecosystem	Package	Fixed in	Advisory
PyPI	vllm	0.30.0	GHSA-ph72-cqr5-qpp7
PyPI	vllm	0.30.0	PYSEC-2026-4309

Affected products (as reported)

Vendor	Product	Versions
vllm-project	vllm	< 0.30.0

Weakness: CWE-20, CWE-617, CWE-639, CWE-668, CWE-704, CWE-1284 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References

https://github.com/vllm-project/vllm/security/advisories/GHSA-ph72-cqr5-qpp7 x_refsource_CONFIRM
https://github.com/vllm-project/vllm/pull/51898 x_refsource_MISC
https://github.com/vllm-project/vllm/commit/1970f3ed4be7fa8620e4ddc4a12c36a8384cfc27 x_refsource_MISC
https://github.com/vllm-project/vllm/releases/tag/v0.30.0 x_refsource_MISC