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VulnerabilityPublished Updated

CVE-2026-34755: vllm · Unthrottled Resource Allocation

Affects vllmSource CVE Database V5

0

Not known to be exploited · CVSS 6.5 Medium : upgrade to 0.19.0 when convenient.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 3.1 base score
6.5Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 39% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.19.0
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 6 Apr 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: 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 26 Oct 2026.

What to do

Upgrade vllm to 0.19.0.

Affected software

ProductAffectedFixed in
vllm-projectvllmAffected
  • >=0.7.0 <0.19.0
Fixed in
  • 0.19.0
PyPIvllmpkg:pypi/vllmOther threatsAffected
  • <0.19.0 >=0.7.0
Fixed in
  • 0.19.0

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 by upgrading to vllm version 0.19.0 or later, where the frame count limit is properly enforced in the load_base64() method. Since the vendor advisory does not indicate any temporary fixes or workarounds, users should apply this upgrade to remediate the vulnerability. Patch status is confirmed by the vendor advisory and CVE description.

Description

vLLM is an inference and serving engine for large language models (LLMs). From 0.7.0 to before 0.19.0, the VideoMediaIO.load_base64() method at vllm/multimodal/media/video.py splits video/jpeg data URLs by comma to extract individual JPEG frames, but does not enforce a frame count limit. The num_frames parameter (default: 32), which is enforced by the load_bytes() code path, is completely bypassed in the video/jpeg base64 path. An attacker can send a single API request containing thousands of comma-separated base64-encoded JPEG frames, causing the server to decode all frames into memory and crash with OOM. This vulnerability is fixed in 0.19.0.

References

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