CVE-2026-73557

vLLM: Incomplete CVE-2025-62164 remediation can be bypassed by concurrent prompt parts

Description

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.

Scores

Faiblesses (CWE)

• CWE-362

Avis

• GHSA-pr7f-p5mw-fc87 — vLLM: Incomplete CVE-2025-62164 remediation can be bypassed by concurrent prompt parts
• PYSEC-2026-3938 — vLLM: Incomplete CVE-2025-62164 remediation can be bypassed by concurrent prompt parts

Références européennes

• ENISA EUVD · EUVD-2026-58064
• GCVE · GCVE-0-2026-73557

Configurations affectées (CPE NVD)

• cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* ≥ 0.21.0 < 0.26.0

Produits affectés

Références

• https://github.com/vllm-project/vllm/security/advisories/GHSA-pr7f-p5mw-fc87
• https://github.com/vllm-project/vllm/pull/48583
• https://github.com/vllm-project/vllm/commit/793cf79c89d4049124e756915468ac30318f2e50
• https://github.com/vllm-project/vllm/releases/tag/v0.26.0

Sources