vLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safe_load_prompt_embeds in vllm/renderers/embed_utils.py uses torch.sparse.check_sparse_tensor_invariants, whose process-global save, enable, and restore state can be raced by concurrent prompt_embeds parts submitted to POST /v1/chat/completions through AsyncMultiModalItemTracker.resolve_items, asyncio.gather, and the default executor, allowing an invalid sparse tensor to reach tensor.to_dense despite the CVE-2025-62164 guard when enable_prompt_embeds is enabled. This issue is fixed in version 0.26.0.
Fix
Patch, vendor advisory and mitigation references on NVD 3
- https://github.com/vllm-project/vllm/commit/793cf79c89d4049124e756915468ac30318f2e50 Patch
- https://github.com/vllm-project/vllm/pull/48583 Issue Tracking, Patch
- https://github.com/vllm-project/vllm/security/advisories/GHSA-pr7f-p5mw-fc87 Mitigation, Vendor Advisory
Every line above is quoted from NVD, CISA, Microsoft, the vendor's own advisory or DISA; nothing is generated.
Change history 1
- First seenCVSS 6.3 · vllmNVD modified 2026-10-15 20:42
Affected (CPE criteria) 1
cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*
References 4
- https://github.com/vllm-project/vllm/commit/793cf79c89d4049124e756915468ac30318f2e50 Patch
- https://github.com/vllm-project/vllm/pull/48583 Issue Tracking, Patch
- https://github.com/vllm-project/vllm/releases/tag/v0.26.0 Release Notes
- https://github.com/vllm-project/vllm/security/advisories/GHSA-pr7f-p5mw-fc87 Mitigation, Vendor Advisory