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CVE-2026-48746VulnerabilityPublished Updated

Bundesamt für Sicherheit in der Informationstechnik Open Source · vllm: Schwachstelle ermöglicht Umgehen von Sicherheitsvorkehrungen

Affects Bundesamt für Sicherheit in der Informationstechnik Open SourceSource GCVE Database

0
Authoritative record:CVE-2026-48746· Critical 9.1

Not known to be exploited · CVSS 9.1 Critical : upgrade to 0.22.0 as a priority.

Data as of 26 Oct 2026, 13:47 UTC

CVSS 3.1 base score
9.1Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
1.1% chance of exploitation in 30 days – higher than 66% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.22.0
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H

Exploitation evidence

t = 0 is the CVE’s publication on cve.org

  1. Disclosed: evidence found.

    CVE published 22 Jun 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: evidence found.

    CISA SSVC: proof of concept public

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

Timeline

  1. CVE ID reserved

    by GitHub, Inc.

    , 31 days before disclosure

  2. CVE published

    on cve.org

    , t = 0

  3. CISA SSVC assessment

    proof of concept public

    , 16 hours after disclosure

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), CISA SSVC, the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Upgrade vllm to 0.22.0.

Affected software

ProductAffectedFixed in
PyPIvllmpkg:pypi/vllmOther threatsAffected
  • <0.22.0
  • =0.22.0
Fixed in
  • 0.22.0

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

Description

Open Source vLLM ist eine Open-Source-Bibliothek für schnelle und effiziente Inferenz von Large Language Models (LLMs).

References

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