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PatchSiren cyber security CVE debrief

CVE-2026-63204 zammad CVE debrief

CVE-2026-63204 is a vulnerability in Zammad, a web-based open-source helpdesk/customer support system. An authenticated user with agent permissions can supply an arbitrary AI analytics run identifier to the ticket summarize endpoint and receive the AI provider error message stored for that run, even if the run belongs to a ticket the agent is not authorized to access. The disclosure is limited to the provider error string; ticket content is not exposed. This issue is fixed in version 7.1.2.

Vendor
zammad
Product
Unknown
CVSS
LOW 2.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-25
Original CVE updated
2026-09-25
Advisory published
2026-09-25
Advisory updated
2026-09-25

Who should care

Defenders responsible for Zammad installations should assess exposure and prioritize patching to prevent unauthorized access to AI provider error messages. This includes operators, platform administrators, vulnerability management teams, and security teams who need to verify and apply the patch, restrict access to the ticket summarize endpoint, and monitor for potential abuse.

Why it matters

CVE-2026-63204 is a vulnerability in Zammad that allows authenticated agents to access AI provider error messages for unauthorized tickets. Defenders should prioritize patching to prevent potential abuse.

  • Potential unauthorized access to AI provider error messages.
  • Possible abuse of the ticket summarize endpoint by authenticated agents.

Technical summary

CVE-2026-63204 is a vulnerability in Zammad, a web-based open-source helpdesk/customer support system. An authenticated user with agent permissions can supply an arbitrary AI analytics run identifier to the ticket summarize endpoint and receive the AI provider error message stored for that run, even if the run belongs to a ticket the agent is not authorized to access. This issue allows potential unauthorized access to AI provider error messages. The disclosure is limited to the provider error string; ticket content is not exposed. This issue is fixed in version 7.1.2. Defenders should prioritize verifying and applying the patch to prevent unauthorized access to AI provider error messages.

Defensive priority

Defenders should prioritize verifying and applying the patch to prevent unauthorized access to AI provider error messages.

Recommended defensive actions

  • Verify and apply the patch to prevent unauthorized access to AI provider error messages.
  • Restrict access to the ticket summarize endpoint to authorized agents only.
  • Monitor for potential abuse of the ticket summarize endpoint.
  • Review compensating controls for exposed systems while remediation is scheduled and verified.
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review.
  • 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.

Evidence notes

The CVE record and NVD entry provide limited information about the vulnerability. The vendor has provided a patch in version 7.1.2. Defenders should verify the patch and assess exposure to prevent unauthorized access to AI provider error messages. The disclosure is limited to the provider error string; ticket content is not exposed. Limited source information is available, so defenders must take extra precautions when verifying and applying the patch.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-63204 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-63204

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

  • CVE-2026-63204 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-63204

    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.