CVE-2026-73557 Detail
Received
This CVE record has recently been published to the CVE List and has been included within the NVD dataset. DescriptionvLLM 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. Metrics
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CVSS 4.0 Severity and Vector Strings:
CNA: GitHub, Inc.
CVSS-B 6.3 MEDIUM
Vector: CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N
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Weakness Enumeration
Quick InfoCVE Dictionary Entry:CVE-2026-73557 NVD Published Date: 08/13/2026 NVD Last Modified: 08/13/2026 Source: GitHub, Inc. |
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