A flaw was found in ml-metadata. (CVE-2026-18618)
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 This flaw exploits outdated components vulnerable to known HTTP/2 DoS issues, potentially crashing the MLMD pod and disrupting pipeline runs in the affected namespace.
AI Analysis
Technical Summary
CVE-2026-18618 identifies a denial of service vulnerability in ml-metadata due to an outdated statically-linked gRPC stack. An attacker with network access within the cluster to the MLMD pod can send crafted HTTP/2 requests that exploit known HTTP/2 DoS issues, causing the pod to crash and interrupt pipeline operations. The vulnerability is categorized under CWE-770 (Allocation of Resources Without Limits or Throttling).
Potential Impact
Exploitation results in denial of service by crashing the MLMD pod, which disrupts all pipeline runs in the affected namespace. There is no impact on confidentiality or integrity, only availability is affected.
Mitigation Recommendations
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.
A flaw was found in ml-metadata. (CVE-2026-18618)
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 This flaw exploits outdated components vulnerable to known HTTP/2 DoS issues, potentially crashing the MLMD pod and disrupting pipeline runs in the affected namespace.
CVSS v3.1
Score 7.5high
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-18618 identifies a denial of service vulnerability in ml-metadata due to an outdated statically-linked gRPC stack. An attacker with network access within the cluster to the MLMD pod can send crafted HTTP/2 requests that exploit known HTTP/2 DoS issues, causing the pod to crash and interrupt pipeline operations. The vulnerability is categorized under CWE-770 (Allocation of Resources Without Limits or Throttling).
Potential Impact
Exploitation results in denial of service by crashing the MLMD pod, which disrupts all pipeline runs in the affected namespace. There is no impact on confidentiality or integrity, only availability is affected.
Mitigation Recommendations
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.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-cr6h-6g58-pq2g
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2026-18618"]
- Ecosystems
- []
- Database Specific Severity
- HIGH
- Cvss Version
- 3.1
Patch Information
Threat ID: 6a7c9b73bf8831d539ce0bd2
Added to database: 08/12/2026, 16:12:35 UTC
Last enriched: 08/12/2026, 17:33:13 UTC
Last updated: 08/13/2026, 02:40:59 UTC
Views: 4
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