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CVE-2026-92824 Red Hat CVE debrief

A flaw in libmodulemd can cause an out-of-bounds read during YAML serialization when processing crafted modulemd v2 metadata, typically resulting in a denial of service. Red Hat Enterprise Linux and OpenShift Container Platform users should assess exposure and verify if their systems are affected. The vulnerability is triggered by an inner loop incorrectly using the count of digest algorithms as its bound instead of the number of checksums in the current digest table. This issue can lead to potential system crashes and requires immediate attention from Red Hat Enterprise Linux and OpenShift Container Platform users.

Vendor
Red Hat
Product
Red Hat Enterprise Linux 10
CVSS
MEDIUM 6.2
CISA KEV
Not listed in stored evidence
Original CVE published
2026-10-21
Original CVE updated
2026-10-30
Advisory published
2026-10-21
Advisory updated
2026-10-30

Who should care

Red Hat Enterprise Linux and OpenShift Container Platform users, particularly those responsible for system security and patch management, should assess their exposure to this vulnerability and verify if their systems are affected.

Why it matters

This vulnerability in libmodulemd can cause a denial of service and potential system crashes. Red Hat Enterprise Linux and OpenShift Container Platform users should assess their exposure and apply patches as needed.

  • Denial of service due to out-of-bounds read during YAML serialization
  • Potential system crashes when processing crafted modulemd v2 metadata
  • Need to verify system exposure and apply patches

Technical summary

The libmodulemd library has a flaw in the module stream v2 rpm-map emission path. An inner loop incorrectly uses the count of digest algorithms as its bound instead of the number of checksums in the current digest table. This can trigger an out-of-bounds read during YAML serialization when processing crafted modulemd v2 metadata, typically causing a crash and resulting in a denial of service. The vulnerability can lead to potential system crashes and requires immediate attention from Red Hat Enterprise Linux and OpenShift Container Platform users.

Defensive priority

Medium priority for Red Hat Enterprise Linux and OpenShift Container Platform users to verify system exposure and apply patches.

Recommended defensive actions

  • Verify if Red Hat Enterprise Linux and OpenShift Container Platform systems are exposed to this vulnerability
  • Check for and apply available patches from Red Hat
  • Monitor system logs for potential denial of service attempts
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
  • Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance

Evidence notes

The CVE record and NVD entry provide details on the vulnerability in libmodulemd. Red Hat has a security advisory for this issue. The vulnerability is caused by an inner loop incorrectly using the count of digest algorithms as its bound instead of the number of checksums in the current digest table. The issue can trigger an out-of-bounds read during YAML serialization when processing crafted modulemd v2 metadata. Red Hat Enterprise Linux and OpenShift Container Platform users should assess their exposure and apply patches as needed. A

Sources and references

Verified primary and authoritative sources

  • CVE-2026-92824 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-92824

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-92824 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-92824

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.