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VulnerabilityPublished Updated

CVE-2026-13717: Improper Access Control

Source GCVE Database

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Authoritative record:CVE-2026-13717· High 8.8

Not known to be exploited · CVSS 8.8 High : patch Red Hat OpenShift AI (RHOAI) llm-d soon.

Data as of 9 Nov 2026, 23:24 UTC

CVSS 3.1 base score
8.8High
How severe the flaw is on the 0–10 CVSS scale.

Thin evidence

One scorer or none
CVSS scores by source
CNA (redhat)CVSS 3.18.8
EPSS
0.5% chance of exploitation in 30 days – higher than 47% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 10 Aug 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 10 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
llm-dAffected
  • All versions
Fixed in–
GitHubllm-dpkg:github/llm-dOther threatsAffected
  • All versions
Fixed in–

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

AI-suggested

Red Hat has released updated images in Red Hat OpenShift AI version 3.4.3 to address this vulnerability. Users should upgrade their clusters following the official Red Hat documentation and errata update instructions to fully apply the fix. No other mitigation or temporary workaround is indicated in the advisory.

Description

A vulnerability in Red Hat OpenShift AI (RHOAI) MaaS Gateway allows a low-privileged user to intercept, read, log, and modify all model-serving traffic. This flaw leads to significant information disclosure and data tampering, including exposure of access keys, input prompts, and outputs. The issue arises from improper configuration of the Gateway in a model-serving context.

References

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