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

Quick assessment

Affected
vllm-project vllm
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.

vLLM是vLLM团队开源的一个适用于 LLM 的高吞吐量和内存高效推理和服务引擎。 vLLM 0.20.2rc0版本至0.26.0之前版本存在竞争条件问题漏洞,该漏洞源于并发提交的prompt_embeds部分与torch.sparse.check_sparse_tensor_invariants的进程全局状态保存、启用和恢复操作产生竞争,可能导致无效稀疏张量到达tensor.to_dense,绕过CVE-2025-62164防护。

CVSS 6.3 · Medium EPSS 0.40% · P33

Possible ATT&CK Techniques 1 AI

T1190 · Exploit Public-Facing Application

Affected Version Matrix 1

VendorProduct Version RangeStatus
vllm-project vllm >= 0.20.2rc0, < 0.26.0 affected
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I. Basic Information for CVE-2026-73557

Vulnerability Information

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Vulnerability Title
vLLM: Incomplete CVE-2025-62164 remediation can be bypassed by concurrent prompt parts
Source: CVE Program / CVE List V5
Vulnerability 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.
Source: CVE Program / CVE List V5
CVSS Information
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
Source: CVE Program / CVE List V5
Vulnerability Type
使用共享资源的并发执行不恰当同步问题(竞争条件)
Source: CVE Program / CVE List V5
Vulnerability Title
vLLM 竞争条件问题漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
vLLM是vLLM团队开源的一个适用于 LLM 的高吞吐量和内存高效推理和服务引擎。 vLLM 0.20.2rc0版本至0.26.0之前版本存在竞争条件问题漏洞,该漏洞源于并发提交的prompt_embeds部分与torch.sparse.check_sparse_tensor_invariants的进程全局状态保存、启用和恢复操作产生竞争,可能导致无效稀疏张量到达tensor.to_dense,绕过CVE-2025-62164防护。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)

Affected Products

Vendor Product Affected Versions CPE Subscribe
vllm-project vllm >= 0.20.2rc0, < 0.26.0 -

II. Public POCs for CVE-2026-73557

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III. Intelligence Information for CVE-2026-73557

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Patches & Fixes for CVE-2026-73557 (2)

Vendor Advisories for CVE-2026-73557 (1)

Vendor Pages for CVE-2026-73557 (1)

Same Patch Batch · vllm-project · 2026-08-13 · 5 CVEs total

CVE-2026-73559 6.5 MEDIUM vLLM: Completion prompt lists fan out into unbounded engine requests
CVE-2026-73555 5.3 MEDIUM vLLM: Unauthenticated Internal Path and Username Disclosure via Validation Error Messages
CVE-2026-73556 5.3 MEDIUM vLLM: ReDoS via structured_outputs.regex in the lm-format-enforcer backend (no compile tim
CVE-2026-73558 5.3 MEDIUM vLLM: Cross-User Data Leak Vulnerability

IV. Related Vulnerabilities

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