CVE-2022-28764
Published: 14 November 2022
Summary
CVE-2022-28764 is a low-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Zoom Meetings. Its CVSS base score is 3.3 (Low).
Operationally, ranked at the 31.5th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-33203
Vulnerability details
The Zoom Client for Meetings (for Android, iOS, Linux, macOS, and Windows) before version 5.12.6 is susceptible to a local information exposure vulnerability. A failure to clear data from a local SQL database after a meeting ends and the usage…
more
of an insufficiently secure per-device key encrypting that database results in a local malicious user being able to obtain meeting information such as in-meeting chat for the previous meeting attended from that local user account.
- 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.
Deleting information when no longer needed directly reduces the window during which sensitive data can be exposed to unauthorized actors.
Secure disposal techniques directly prevent sensitive data from becoming accessible to unauthorized actors after components leave organizational control.
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.