CVE-2024-8460
Published: 05 September 2024
Summary
CVE-2024-8460 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Dlink Dns-320 Firmware. Its CVSS base score is 6.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Gather Victim Host Information (T1592); ranked in the top 15.7% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-49194
Vulnerability details
A vulnerability, which was classified as problematic, has been found in D-Link DNS-320 2.02b01. Affected by this issue is some unknown functionality of the file /cgi-bin/widget_api.cgi of the component Web Management Interface. The manipulation of the argument getHD/getSer/getSys leads to…
more
information disclosure. The attack may be launched remotely. The complexity of an attack is rather high. The exploitation is known to be difficult. The exploit has been disclosed to the public and may be used. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. Vendor was contacted early and confirmed that the product is end-of-life. It should be retired and replaced.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability enables unauthenticated remote information disclosure of host details (hard drive, serial, system info) via the web management interface /cgi-bin/widget_api.cgi, directly facilitating T1592 Gather Victim Host Information as mapped by VulDB.
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.