CVE-2024-0305
Published: 08 January 2024
Summary
CVE-2024-0305 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Ncast Project Ncast. Its CVSS base score is 5.3 (Medium).
Operationally, ranked in the top 0.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
A vulnerability classified as problematic exists in Guangzhou Yingke Electronic Technology Ncast versions up to 2017, specifically in the Guest Login component's /manage/IPSetup.php file. The issue stems from improper handling that permits information disclosure and carries a CVSS 3.1 score of 5.3 under CWE-200.
Remote unauthenticated attackers can exploit the flaw over the network to retrieve sensitive information without requiring user interaction. Publicly available exploit code has been released, enabling straightforward remote attacks against exposed instances.
The EPSS score currently stands at 0.9312 with a recorded peak of 0.9374, indicating sustained exploitation interest following disclosure. No vendor patches or mitigation guidance appear in the referenced advisories.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-16101
Vulnerability details
A vulnerability was found in Guangzhou Yingke Electronic Technology Ncast up to 2017 and classified as problematic. Affected by this issue is some unknown functionality of the file /manage/IPSetup.php of the component Guest Login. The manipulation leads to information disclosure.…
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The attack may be launched remotely. The exploit has been disclosed to the public and may be used. The identifier of this vulnerability is VDB-249872.
- 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.