CVE-2023-38302
Published: 22 April 2024
Summary
CVE-2023-38302 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Defcon (inferred from references). Its CVSS base score is 4.3 (Medium).
Operationally, ranked at the 31.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-42121
Vulnerability details
A certain software build for the Sharp Rouvo V device (SHARP/VZW_STTM21VAPP/STTM21VAPP:12/SP1A.210812.016/1KN0_0_530:user/release-keys) leaks the Wi-Fi MAC address and the Bluetooth MAC address to system properties that can be accessed by any local app on the device without any permissions or special…
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privileges. Google restricted third-party apps from directly obtaining non-resettable device identifiers in Android 10 and higher, but in this instance they are leaked by a high-privilege process and can be obtained indirectly. This malicious app reads from the "ro.boot.wifi_mac" system property to indirectly obtain the Wi-Fi MAC address and reads the "ro.boot.bt_mac" system property to obtain the Bluetooth MAC address.
- 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.