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CVE-2026-50632 Apache Software Foundation CVE debrief

CVE-2026-50632 is a HIGH-severity vulnerability (CVSS Score: 8.1) in Apache CXF, which is an incomplete fix for a previous advisory CVE-2026-44417. This vulnerability can allow code execution capabilities if untrusted users are allowed to configure JMS for Apache CXF. The issue was published on 2026-06-12T10:16:23.183Z and last modified on 2026-06-12T18:58:03.547Z.

Vendor
Apache Software Foundation
Product
Apache CXF
CVSS
HIGH 8.1
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-12
Original CVE updated
2026-08-07
Advisory published
2026-06-12
Advisory updated
2026-08-07

Who should care

Users of Apache CXF who allow untrusted users to configure JMS are potentially affected by this vulnerability.

Technical summary

The vulnerability is caused by an incomplete fix for a previous advisory CVE-2026-44417, which allowed for Remote Code Execution (RCE) due to untrusted JMS configuration in Apache CXF. This issue can be mitigated by upgrading to versions 4.2.2 or 4.1.7 of Apache CXF.

Defensive priority

HIGH

Recommended defensive actions

  • Upgrade to Apache CXF version 4.2.2 or 4.1.7 to fix this issue.
  • Restrict JMS configuration to trusted users only.

Evidence notes

The CVE record [cve-org] and NVD detail [nvd] provide official information about this vulnerability. A vendor advisory [ref-4] is also available for mitigation guidance.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-50632 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-50632

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

  • CVE-2026-50632 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-50632

    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.