CVE-2026-105754

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.

• CWE-20
• CWE-617
• CWE-639
• CWE-668
• CWE-704
• CWE-1284

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

Published

Oct 5, 2026

Last Modified

Oct 6, 2026

Status

Awaiting Analysis

• Uncovering a hidden BOLA in Appsmith's snapshot logicStrix autonomously discovered a BOLA/IDOR vulnerability in Appsmith's snapshot deletion path.
• Autonomous PentestingAI agents that find and validate exploitable vulnerabilities like this one across your applications.
• PR ReviewsPentest every pull request so vulnerable code is caught before it ships to production.
• AI Penetration TestingHow AI-driven penetration testing continuously covers your attack surface.

• CVE-2026-105749Docling simplifies document processing by parsing diverse fo…6.5
• CVE-2026-10575IBM MQ could allow an authenticated attacker to cause a deni…8.8
• CVE-2026-105750Docling simplifies document processing by parsing diverse fo…5.9
• CVE-2026-105751Docling simplifies document processing by parsing diverse fo…6.9
• CVE-2026-105752vLLM is an inference and serving engine for large language m…3.1
• CVE-2026-105753vLLM is an inference and serving engine for large language m…6.5
• CVE-2026-105755vLLM is an inference and serving engine for large language m…4.2
• CVE-2026-105756vLLM is an inference and serving engine for large language m…6.5
• CVE-2026-105757vLLM is an inference and serving engine for large language m…6.5
• CVE-2026-105758vLLM is an inference and serving engine for large language m…5.3
• CVE-2026-105759vLLM is an inference and serving engine for large language m…5.9
• CVE-2026-105760vLLM is an inference and serving engine for large language m…5.3