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VulnerabilityPublished Updated

CVE-2026-100649: vllm · Unthrottled Resource Allocation

Affects vllmSource CVE Database V5

0
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Not known to be exploited · CVSS 6.3 Medium : upgrade to 0.29.0 when convenient.

Data as of 8 Nov 2026, 23:24 UTC

CVSS 4.0 base score
6.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 27% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.29.0
CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 26 Sep 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  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

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 9 Nov 2026.

What to do

Upgrade vllm to 0.29.0.

Affected software

ProductAffectedFixed in
vllm-projectvllmAffected
  • <0.29.0
Fixed in
  • 0.29.0
PyPIvllmpkg:pypi/vllmOther threatsAffected
  • <0.29.0
Fixed in
  • 0.29.0

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

AI-suggested

A fix is available in vLLM version 0.29.0. Users should upgrade to version 0.29.0 or later to remediate this vulnerability.

Description

vLLM before 0.29.0 contains a resource-limit bypass vulnerability in PyNvVideoCodec decoder allocation where sampler subclass shadowing allows independent counter increments. Unauthenticated attackers can select different sampler subclasses in video requests to exceed configured decoder limits and exhaust unaccounted GPU memory.

References

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