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.

Attack Vector Network

Attack Complexity Low

Privileges Required None

Attack Requirements Present

User Interaction None

Vulnerable System Confidentiality Impact None

Vulnerable System Integrity Impact None

Vulnerable System Availability Impact Low

Subsequent System Confidentiality Impact None

Subsequent System Integrity Impact None

Subsequent System Availability Impact None

No CVSS v3.1

No CVSS v3.0

No CVSS v2

This CVE is not in the KEV list.

No EPSS score available.

Key SSVC decision points have not yet been added.

Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).

Vendor Product Default status Versions
vllm-project vllm affected
Version Status Constraints
>= 0.20.2rc0, < 0.26.0 affected —

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Project Subscriptions

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Advisories

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Fixes

Solution

No solution given by the vendor.

Workaround

No workaround given by the vendor.

References
Link Providers
https://github.com/vllm-project/vllm/commit/793cf79c89d4049124e756915468ac30318f2e50 cve-icon cve-icon
https://github.com/vllm-project/vllm/pull/48583 cve-icon cve-icon
https://github.com/vllm-project/vllm/releases/tag/v0.26.0 cve-icon cve-icon
https://github.com/vllm-project/vllm/security/advisories/GHSA-pr7f-p5mw-fc87 cve-icon cve-icon
History

Thu, 13 Aug 2026 15:15:00 +0000

Type Values Removed Values Added
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.
Title vLLM: Incomplete CVE-2025-62164 remediation can be bypassed by concurrent prompt parts
Weaknesses CWE-362
References
Metrics cvssV4_0

{'score': 6.3, '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'}

Projects

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cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published:

Updated: 2026-08-13T17:52:52.386Z

Reserved: 2026-08-12T20:53:46.380Z

Link: CVE-2026-73557

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Received

Published: 2026-08-13T15:20:18.080

Modified: 2026-08-13T18:18:18.360

Link: CVE-2026-73557

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

Updated: 2026-08-13T17:15:05Z

Weaknesses