CVE-2026-63216 (GCVE-0-2026-63216)

Vulnerability from cvelistv5 – Published: 2026-09-25 18:16 – Updated: 2026-09-25 18:16
VLAI
Title
Zammad: Stored XSS via unescaped option labels in the object attribute options context UI
Summary
Zammad is a web based open source helpdesk/customer support system. Prior to 7.1.2, unsanitized option labels are rendered in the configuration dialogs of AI Agents within Zammad's admin UI. When rendering the list of selected options, the option label is output as raw HTML without escaping. An attacker who can control an option label, for example by setting a malicious string as a user or organization name used in a relation attribute, or by supplying a crafted custom attribute option value, can inject arbitrary HTML and JavaScript. The payload executes in the browser of any admin or agent who opens the affected object attribute configuration view. This issue is fixed in version 7.1.2.
Severity
5.3 (Medium)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N
CWE
  • CWE-80 - Improper Neutralization of Script-Related HTML Tags in a Web Page (Basic XSS)
Assigner
References
Impacted products
Vendor Product Version CPE status
zammad zammad Affected: < 7.1.2
guessed Create a notification for this product.
Show details on NVD website
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        "discovery": "UNKNOWN"
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      "title": "Zammad: Stored XSS via unescaped option labels in the object attribute options context UI"
    }
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    "dateReserved": "2026-07-15T22:19:06.907Z",
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          }
        ],
        "id": "CVE-2026-63216",
        "lastModified": "2026-09-28T14:45:39.697",
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}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



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Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.