CVE-2024-3160
Published: 02 April 2024
Summary
CVE-2024-3160 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability. Its CVSS base score is 5.3 (Medium).
Operationally, ranked at the 34.6th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-31757
Vulnerability details
** DISPUTED ** A vulnerability, which was classified as problematic, was found in Intelbras MHDX 1004, MHDX 1008, MHDX 1016, MHDX 5016, HDCVI 1008 and HDCVI 1016 up to 20240401. This affects an unknown part of the file /cap.js of…
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the component HTTP GET Request Handler. The manipulation leads to information disclosure. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The real existence of this vulnerability is still doubted at the moment. The identifier VDB-258933 was assigned to this vulnerability. NOTE: The vendor explains that they do not classify the information shown as sensitive and therefore there is no vulnerability which is about to harm the user.
- 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.