Medium 6.3Published Aug 13, 2026

CVE-2026-73557vLLM: Incomplete CVE-2025-62164 remediation can be bypassed by concurrent prompt parts

Updated under an hour ago (Oct 27, 2026, 10:50 PM ET)

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No exploitation reported and no EPSS estimate yet.

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Every CVE for vllm-project vllm

Exploited in the last 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.

CVSS: 6.3 MEDIUM (v4.0, CNA)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
Weakness (CWE): CWE-362
Known exploited: Not in CISA's KEV catalog
EPSS (exploitation in the next 30 days): Not loaded for this CVE
Assigned by: GitHub_M
NVD analysis: Analyzed
Record last updated: Aug 13, 2026
First seen by InfoSec Signals: Oct 9, 2026

Affected products

Affected products

vllm-project vllm vllm_project:vllm (from the name)	from 0.20.2rc0, < 0.26.0	CNA record
vllm vllm vllm:vllm	from 0.21.0 before 0.26.0	NVD

References

References

https://github.com/vllm-project/vllm/security/advisories/GHSA-pr7f-p5mw-fc87	x-refsource-confirm, mitigation, vendor-advisory
https://github.com/vllm-project/vllm/pull/48583	x-refsource-misc, issue-tracking, patch
https://github.com/vllm-project/vllm/commit/793cf79c89d4049124e756915468ac30318f2e50	x-refsource-misc, patch
https://github.com/vllm-project/vllm/releases/tag/v0.26.0	x-refsource-misc, release-notes

The CVE record on cve.org NVD's entry

The CVE record is authoritative. Products marked “from the name” were identified from the CNA's free-text names, not a CPE, and are matched less certainly. This product uses the NVD API but is not endorsed or certified by the NVD.