CVE-2023-22880
Published: 16 March 2023
Summary
CVE-2023-22880 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Zoom Rooms. Its CVSS base score is 6.8 (Medium).
Operationally, ranked in the top 35.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-26990
Vulnerability details
Zoom for Windows clients before version 5.13.3, Zoom Rooms for Windows clients before version 5.13.5 and Zoom VDI for Windows clients before 5.13.1 contain an information disclosure vulnerability. A recent update to the Microsoft Edge WebView2 runtime used by the…
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affected Zoom clients, transmitted text to Microsoft’s online Spellcheck service instead of the local Windows Spellcheck. Updating Zoom remediates this vulnerability by disabling the feature. Updating Microsoft Edge WebView2 Runtime to at least version 109.0.1481.0 and restarting Zoom remediates this vulnerability by updating Microsoft’s telemetry behavior.
- 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.