CVE-2021-4428
Published: 18 July 2023
Summary
CVE-2021-4428 is a low-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in What3Words Autosuggest. Its CVSS base score is 2.7 (Low).
Operationally, ranked in the top 1.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2021-34255
Vulnerability details
A vulnerability has been found in what3words Autosuggest Plugin up to 4.0.0 on WordPress and classified as problematic. Affected by this vulnerability is the function enqueue_scripts of the file w3w-autosuggest/public/class-w3w-autosuggest-public.php of the component Setting Handler. The manipulation leads to information…
more
disclosure. The attack can be launched remotely. Upgrading to version 4.0.1 is able to address this issue. The patch is named dd59cbac5f86057d6a73b87007c08b8bfa0c32ac. It is recommended to upgrade the affected component. The associated identifier of this vulnerability is VDB-234247.
- CWE(s)
Related Threats
Threat-Actor AttributionAI
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.