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VulnerabilityPublished Updated

CVE-2026-18618: ml-metadata · Unthrottled Resource Allocation

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Authoritative record:CVE-2026-18618· High 7.5

Not known to be exploited · CVSS 7.5 High : patch Red Hat OpenShift AI 2.25 soon.

Data as of 10 Nov 2026, 23:24 UTC

CVSS 3.1 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.8% chance of exploitation in 30 days – higher than 58% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/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 11 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
Red Hat OpenShift AI 2.25rhoai/odh-mlmd-grpc-server-rhel9Affected–Fixed in–
Red Hat OpenShift AI 3.3rhoai/odh-mlmd-grpc-server-rhel9Affected–Fixed in–
Red Hat OpenShift AI 3.4rhoai/odh-mlmd-grpc-server-rhel9Affected–Fixed in–
Red Hat OpenShift AI 3.4rhoai/odh-mlmd-grpc-server-rhel9Affected–Fixed in–
Red Hat OpenShift AI 3.5rhoai/odh-latency-predictor-prediction-rhel9Affected–Fixed in–
Red Hat OpenShift AI 3.5rhoai/odh-latency-predictor-training-rhel9Affected–Fixed in–

AI-suggested

The vendor advisory from Red Hat indicates updated images are available for Red Hat OpenShift AI, including fixes for CVE-2026-18618. Users should upgrade to the fixed versions of Red Hat OpenShift AI as per the official documentation (https://docs.redhat.com/en/documentation/red_hat_openshift_ai/) to fully apply the errata update. No other specific mitigations are noted. Patch status is confirmed by vendor advisory; a fix is available.

Description

A vulnerability in ml-metadata's statically-linked gRPC stack allows an in-cluster attacker with network access to the MLMD pod to cause a denial of service by sending specially crafted HTTP/2 requests. This flaw exploits outdated components vulnerable to known HTTP/2 DoS issues, potentially crashing the MLMD pod and disrupting pipeline runs in the affected namespace.

References

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