CVE-2026-73557: Vllm-Project Vllm

Medium severity, CVSS 6.3. EPSS: 0.4% chance of exploitation in the next 30 days.

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.

Affected products

• Vllm-Project Vllm: from 0.20.2rc0, before 0.26.0 (fixed in 0.26.0)

Published 2026-08-13. Last modified 2026-09-09.