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Vulnerabilities

Security fix · CVE-2025-46570

vLLM is an inference and serving engine for large language models (LLMs).

Published May 29, 2025 · catalog updated May 29, 2025 · vLLM is an inference

Check this week

CVE-2025-46570 is not in CISA KEV. FIRST estimates a 33.00% chance of exploitation in the next 30 days. Check whether you run vLLM is an inference.

Gaps on this record

  • The stored product name is a package slug. The name on this page is taken from the title (vLLM is an inference).
  • No vendor fix or required action is stored. Compare the linked advisory before you change production.
Severity
Low2.6
Known exploitation
Not in CISA/VulnCheck KEV
EPSS
33.00%
Remediation
Version ranges on file
Affected products
vendor vllm-project vllm < 0.9.0

vLLM is an inference and serving engine for large language models (LLMs). Prior to version 0.9.0, when a new prompt is processed, if the PageAttention mechanism finds a matching prefix chunk, the prefill process speeds up, which is reflected in the TTFT (Time to First Token). These timing differences caused by matching chunks are significant enough to be recognized and exploited. This issue has been patched in version 0.9.0.

Are you affected?

Enter the version you run. The result uses only the ranges stored on this record.

The check returns affected, not affected, or incomplete. It does not guess a version that is missing from the record.

  • vendor vllm-project vllm < 0.9.0< 0.9.0

How to fix CVE-2025-46570

What to do

Three questions, each answered from this record only. Confirm the vendor advisory before you patch.

Should you patch?

CVE-2025-46570 is not in CISA KEV. FIRST estimates a 33.00% chance of exploitation in the next 30 days. Check whether you run vLLM is an inference.

Which versions are affected?

Compare what you have installed with vllm-project vllm < 0.9.0 < 0.9.0. Compare the installed version with the linked vendor advisory before you change production.

What should an analyst verify?

No weakness class is stored. EPSS 33.00%. There is no CISA KEV listing. No Exploit-DB or Metasploit reference is linked. Use the source links for the original advisory.

Code

The project this record applies to. Exploit listings stay in References.

Timeline

Detection, updates, and resolution for this record.

  1. May 29, 2025 · EUVD

    Detected

    vLLM is an inference and serving engine for large language models (LLMs). Prior to version 0.9.0, when a new prompt is processed, if the PageAttention mechanism finds a matching prefix chunk, the prefill process speeds up, which is reflected in the TTFT (Time to First Token). These timing differences caused by matching chunks are significant enough to be recognized and exploited. This issue has be

  2. May 29, 2025 · EUVD

    Updated

    vLLM is an inference and serving engine for large language models (LLMs). Prior to version 0.9.0, when a new prompt is processed, if the PageAttention mechanism finds a matching prefix chunk, the prefill process speeds up, which is reflected in the TTFT (Time to First Token). These timing differences caused by matching chunks are significant enough to be recognized and exploited. This issue has be

Sources

  • CVE.orgVulnerability recordCVE-2025-46570

    Official CVE identifier

    cve.org
  • EUVDVulnerability recordEUVD-2025-16189

    vLLM is an inference and serving engine for large language models (LLMs). Prior to version 0.9.0, when a new prompt is processed, if the PageAttention mechanism finds a matching prefix chunk, the prefill process speeds up, which is reflected in the TTFT (Time to First Token). The

    euvd.enisa.europa.eu

References

Freshness

Last verified in this catalog May 29, 2025. Significant claims (KEV, EPSS, CVSS, affected ranges) come from the source rows above — open the original publisher for the authoritative advisory.