CVE-2014-125093
Published: 10 March 2023
Summary
CVE-2014-125093 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Getadmiral Ad Blocking Detector. Its CVSS base score is 4.3 (Medium).
Operationally, ranked in the top 31.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2014-1261
Vulnerability details
A vulnerability has been found in Ad Blocking Detector Plugin up to 1.2.1 on WordPress and classified as problematic. This vulnerability affects unknown code of the file ad-blocking-detector.php. The manipulation leads to information disclosure. The attack can be initiated remotely.…
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Upgrading to version 1.2.2 is able to address this issue. The patch is identified as 3312b9cd79e5710d1e282fc9216a4e5ab31b3d94. It is recommended to upgrade the affected component. VDB-222610 is the identifier assigned to this vulnerability.
- 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.
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.