Vulnerability Description
A flaw was found in ml-metadata. The statically-linked gRPC stack in ml-metadata is outdated, making it vulnerable to known HTTP/2 denial of service (DoS) issues. An in-cluster attacker, with network access to the MLMD pod, could exploit these vulnerabilities by sending specially crafted HTTP/2 requests. This could lead to a denial of service by crashing the MLMD pod, disrupting all pipeline runs in the affected namespace.
CVSS Score
HIGH
Related Weaknesses (CWE)
References
- https://access.redhat.com/errata/RHSA-2026:53261
- https://access.redhat.com/errata/RHSA-2026:53262
- https://access.redhat.com/errata/RHSA-2026:53263
- https://access.redhat.com/security/cve/CVE-2026-18618
- https://bugzilla.redhat.com/show_bug.cgi?id=2510313
FAQ
What is CVE-2026-18618?
CVE-2026-18618 is a vulnerability with a CVSS score of 7.5 (HIGH). A flaw was found in ml-metadata. The statically-linked gRPC stack in ml-metadata is outdated, making it vulnerable to known HTTP/2 denial of service (DoS) issues. An in-cluster attacker, with network ...
How severe is CVE-2026-18618?
CVE-2026-18618 has been rated HIGH with a CVSS base score of 7.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-18618?
Check the references section above for vendor advisories and patch information. Review vendor security bulletins for remediation guidance.