CVE-2023-6777
Published: 09 April 2024
Summary
CVE-2023-6777 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Codecabin Wp Go Maps. Its CVSS base score is 5.3 (Medium).
Operationally, ranked in the top 14.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-58989
Vulnerability details
The WP Go Maps (formerly WP Google Maps) plugin for WordPress is vulnerable to unauthenticated API key disclosure in versions up to, and including, 9.0.34 due to the plugin adding the API key to several plugin files. This makes it…
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possible for unauthenticated attackers to obtain the developer's Google API key. While this does not affect the security of sites using this plugin, it allows unauthenticated attackers to make requests using this API key with the potential of exhausting requests resulting in an inability to use the map functionality offered by the plugin.
- 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.