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CVE-2026-77132 is a missing authorization vulnerability in TYPO3 CMS affecting the backend localization wizard's AJAX endpoints. Several AJAX routes — specifically getRecord(), getHandlers(), getContent(), and localize() in the Wizard localization controller, as well as getUsedLanguagesInPage(), getRecordLocalizeSummary(), and localizeRecords() in the Page localization controller — failed to perform page-level authorization checks, allowing authenticated low-privileged backend users to access records and content elements outside their permitted scope. Affected versions span TYPO3 CMS 10.0.0–10.4.59, 11.0.0–11.5.53, 12.0.0–12.4.48, 13.0.0–13.4.34, and 14.0.0–14.3.6. The vulnerability was disclosed on September 8, 2026, under security bulletin TYPO3-CORE-SA-2026-022, and carries a CVSS v4.0 base score of 5.3 (Medium) (TYPO3 Advisory, Feedly).
The root cause is CWE-862 (Missing Authorization) combined with CWE-200 (Exposure of Sensitive Information to an Unauthorized Actor). Of the seven localization wizard AJAX endpoints, only getModes(), getTargets(), and getSources() verified that the backend user had access to the page a record resides on; getRecord(), getHandlers(), getContent(), and localize() performed no such check and responded to any authenticated backend user. Similarly, the Page localization controller's getUsedLanguagesInPage() and getRecordLocalizeSummary() endpoints disclosed page languages, content record titles, UIDs, and backend layout columns without verifying page access. The fix adds hasLocalizationAccess() and hasPageAccess() checks using BackendUtility::readPageAccess() with the user's PAGE_SHOW permission clause to all affected endpoints, returning HTTP 403 for unauthorized requests (GitHub Commit c232421, GitHub Commit 1c63ce8).
Successful exploitation allows a low-privileged, authenticated TYPO3 backend user to enumerate records, content element titles, UIDs, backend layout columns, and language information for pages they are not authorized to access. The impact is limited to confidentiality — integrity and availability are not directly affected, as the vulnerability does not grant write access beyond what DataHandler already enforces. There is no evidence of lateral movement or remote code execution potential; the risk is primarily unauthorized information disclosure within the CMS backend (Feedly, GitHub Commit 1c63ce8).
No public proof-of-concept exploit code or in-the-wild exploitation has been reported. The vulnerability requires an authenticated backend user account with at least low-level privileges, making unauthenticated exploitation impossible. The EPSS score is approximately 0.0041 (0.41%), indicating a low probability of exploitation in the near term. The NVD SSVC assessment classifies exploitation as "none" and the attack as non-automatable. CVE-2026-77132 is not listed in the CISA Known Exploited Vulnerabilities catalog (Feedly).
wizard_localization_get_record, wizard_localization_get_handlers, wizard_localization_get_content, or the page localization endpoints (getUsedLanguagesInPage, getRecordLocalizeSummary), supplying the target recordUid, recordType, or pageId as query parameters.localize() or localizeRecords() endpoint with the gathered parameters to attempt unauthorized localization actions (DataHandler provides a secondary barrier for writes) (GitHub Commit c232421, GitHub Commit 1c63ce8).wizard_localization_get_record, wizard_localization_get_handlers, wizard_localization_get_content, wizard_localization_get_modes, or equivalent page localization endpoints with pageId or recordUid values outside the user's normal page tree.TYPO3 has released patched versions addressing this vulnerability: 10.4.60, 11.5.54, 12.4.49, 13.4.35, and 14.3.7. Administrators should upgrade to the appropriate fixed version as soon as possible. No configuration-based workaround is available; the only effective remediation is applying the security update. Restricting backend access to trusted users only can reduce exposure in the interim (TYPO3 Advisory, GitHub Commit c232421).
Source: This report was generated using AI
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