CVE-2022-24784
Published: 25 March 2022
Summary
CVE-2022-24784 is a low-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Statamic Statamic. Its CVSS base score is 3.7 (Low).
Operationally, ranked in the top 49.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-1517
Vulnerability details
Statamic is a Laravel and Git powered CMS. Before versions 3.2.39 and 3.3.2, it is possible to confirm a single character of a user's password hash using a specially crafted regular expression filter in the users endpoint of the REST…
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API. Multiple such requests can eventually uncover the entire hash. The hash is not present in the response, however the presence or absence of a result confirms if the character is in the right position. The API has throttling enabled by default, making this a time intensive task. Both the REST API and the users endpoint need to be enabled, as they are disabled by default. The issue has been fixed in versions 3.2.39 and above, and 3.3.2 and above.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
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.
Concealment techniques directly prevent real sensitive data from being exposed to adversaries.
Restricts error message visibility to authorized recipients, directly reducing unauthorized exposure of sensitive information.
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.