THREATPORT/VULNERABILITY/CVE-2026-22778
CRITICAL SEVERITY

CVE-2026-22778

Vllm vulnerability

CVSS
9.8
EPSS
3.8%
EPSS pct
89th
Exploited
No known
vLLM is an inference and serving engine for large language models (LLMs). From 0.8.3 to before 0.14.1, when an invalid image is sent to vLLM's multimodal endpoint, PIL throws an error. vLLM returns this error to the client, leaking a heap address. With this leak, we reduce ASLR from 4 billion guesses to ~8 guesses. This vulnerability can be chained a heap overflow with JPEG2000 decoder in OpenCV/FFmpeg to achieve remote code execution. This vulnerability is fixed in 0.14.1.
Affected vendor
Vllm
Affected product
Vllm
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Weakness type (CWE)
  • CWE-532 — Insertion of Sensitive Information into Log File
  • CWE-209 — Information Exposure Through an Error Message
Published
2026-02-02

Risk analysis

Based on its CVSS vector, this vulnerability is exploitable over the network, low attack complexity, requiring no privileges, no user interaction. Successful exploitation leads to high impact to confidentiality, high impact to integrity, high impact to availability.

Its EPSS score of 3.8% reflects a lower probability of exploitation activity in the wild over the next 30 days, placing it above 89% of all scored CVEs.

Check your external exposure to CVE-2026-22778

  • Confirm whether Vllm Vllm is running on any internet-facing host or subdomain.
  • Match discovered service fingerprints against the version affected by CVE-2026-22778.
  • Prioritise remediation if the asset is public, business-critical, or near authentication/payment flows.

How ThreatPort helps with CVE-2026-22778

ThreatPort's external attack surface scanner checks your internet-facing assets — agentlessly, from the outside in — for the exposed services and versions that CVE-2026-22778 affects, then prioritises the finding by real risk using CISA KEV and FIRST.org EPSS.

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