CVE-2026-33882
Published: 27 March 2026
Summary
CVE-2026-33882 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Statamic Statamic. Its CVSS base score is 6.5 (Medium).
Operationally, ranked at the 28.1th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-16822
Vulnerability details
Statamic is a Laravel and Git powered content management system (CMS). Prior to versions 5.73.16 and 6.7.2, the markdown preview endpoint could be manipulated to return augmented data from arbitrary fieldtypes. With the users fieldtype specifically, an authenticated control panel…
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user could retrieve sensitive user data including email addresses, encrypted passkey data, and encrypted two-factor authentication codes. This has been fixed in 5.73.16 and 6.7.2.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Insufficient information to map techniques.Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.