CVE-2024-26132
Published: 29 February 2024
Summary
CVE-2024-26132 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Element Element. Its CVSS base score is 4.0 (Medium).
Operationally, ranked in the top 48.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-23423
Vulnerability details
Element Android is an Android Matrix Client. A third-party malicious application installed on the same phone can force Element Android, version 0.91.0 through 1.6.12, to share files stored under the `files` directory in the application's private data directory to an…
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arbitrary room. The impact of the attack is reduced by the fact that the databases stored in this folder are encrypted. However, it contains some other potentially sensitive information, such as the FCM token. Forks of Element Android which have set `android:exported="false"` in the `AndroidManifest.xml` file for the `IncomingShareActivity` activity are not impacted. This issue is fixed in Element Android 1.6.12. There is no known workaround to mitigate the issue.
- 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.