gcdRadar
archive/Patch now/AIR-2026-0229
closedclosed 5 Oct 2026Patch now2 Disclosed vulnerabilityAI

CVE-2026-105754: vLLM disaggregated transport trusts caller-supplied features

vLLM

The vLLM inference engine fails to properly validate caller-supplied features in its disaggregated scale-out transport path. This can lead to security bypasses within multimodal request handling pipelines.

disclosed CVENo confirmed exploitation, so this record is tracked as a disclosed vulnerability and not counted as an incident. It moves into the counts if CISA or the vendor confirms exploitation. Why

CVSS
6.5
EPSS
<0.01 · top 81% · 2026-11-13
EPSS scores by FIRST
fix status
Fix status unknown
first report
5 Oct 2026
last update
5 Oct 2026
CVE ids
CVE-2026-105754other records

Timeline · 2

  1. 5 Oct 2026CVE-2026-105754: vLLM: Scale-out disaggregated multimodal transport trusts caller-supplied features
  2. 5 Oct 2026CVE-2026-105754: vLLM is an inference and serving engine for large language models.

Sources · 2

Advisories and databases

  1. 2026-10-05
    CVE-2026-105754: vLLM: Scale-out disaggregated multimodal transport trusts caller-supplied features
    GitHub Advisory Database · github.com/advisories/GHSA-ph72-cqr5-qpp7
  2. 2026-10-05
    CVE-2026-105754: vLLM is an inference and serving engine for large language models.
    NVD · nvd.nist.gov/vuln/detail/CVE-2026-105754

Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.

Classification

lane
Patch now
AI role
Attack on AI
categories
Infrastructure vulnerability
severity
2 · Disclosed vulnerability
fix status
Fix status unknown
targets
Framework / tooling
owasp llm top 10
LLM03:2025 Supply Chain
mitre atlas
no technique for these categories
tags
vllminference-server
dates
happened 5 Oct 2026 · first reported 5 Oct 2026
origin
GitHub Advisory Database
Vulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
record
confidence 0.95 · created 2026-10-18 06:33Z · updated 2026-10-18 06:33Z

Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned

Copy a brief

This record as a short Markdown brief, for a ticket, a chat or a coding agent.

the brief as text
# CVE-2026-105754: vLLM disaggregated transport trusts caller-supplied features

https://gcdradar.vercel.app/incidents/cve-2026-105754-vllm-disaggregated-transport-trusts-caller-s · AIR-2026-0229 · closed 2026-10-05

- Lane: Patch now
- Severity: 2 (Disclosed vulnerability)
- Fix status: Fix status unknown
- First reported: 2026-10-05
- AI role: Attack on AI
- Products: vLLM
- CVE ids: CVE-2026-105754
- CVSS: 6.5

## Summary

The vLLM inference engine fails to properly validate caller-supplied features in its disaggregated scale-out transport path. This can lead to security bypasses within multimodal request handling pipelines.

## What to do

No action recorded; read the sources below and the vendor's advisory.

## Latest updates

- 2026-10-05: CVE-2026-105754: vLLM is an inference and serving engine for large language models. (https://nvd.nist.gov/vuln/detail/CVE-2026-105754)
- 2026-10-05: CVE-2026-105754: vLLM: Scale-out disaggregated multimodal transport trusts caller-supplied features (https://github.com/advisories/GHSA-ph72-cqr5-qpp7)

## Sources

- 2026-10-05 GitHub Advisory Database: CVE-2026-105754: vLLM: Scale-out disaggregated multimodal transport trusts caller-supplied features https://github.com/advisories/GHSA-ph72-cqr5-qpp7
- 2026-10-05 NVD: CVE-2026-105754: vLLM is an inference and serving engine for large language models. https://nvd.nist.gov/vuln/detail/CVE-2026-105754

Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.

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