CVE-2023-29114
Published: 05 November 2024
Summary
CVE-2023-29114 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Enelx (inferred from references). Its CVSS base score is 5.7 (Medium).
Operationally, ranked at the 30.3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-32717
Vulnerability details
System logs could be accessed through web management application due to a lack of access control. An attacker can obtain the following sensitive information: • Wi-Fi access point credentials to which the EV charger can connect. • APN web address…
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and credentials. • IPSEC credentials. • Web interface access credentials for user and admin accounts. • JuiceBox system components (software installed, model, firmware version, etc.). • C2G configuration details. • Internal IP addresses. • OTA firmware update configurations (DNS servers). All the credentials are stored in logs in an unencrypted plaintext format.
- 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.