CVE-2024-30569
Published: 03 April 2024
Summary
CVE-2024-30569 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Netgear R6850 Firmware. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Wi-Fi Discovery (T1016.002); ranked in the top 3.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
The vulnerability CVE-2024-30569 is an information disclosure issue in the currentsetting.htm page of Netgear R6850 firmware version 1.1.0.88. It is tracked as CWE-200 and scored 7.5 under CVSS 3.1, reflecting network-accessible exposure of sensitive data without any authentication requirement.
Unauthenticated attackers can reach the endpoint remotely to extract sensitive information from the device. Successful exploitation yields high confidentiality impact while leaving integrity and availability unaffected, enabling reconnaissance that may support additional attacks against the router or its network.
Public references include a GitHub proof-of-concept describing the leak and Netgear’s general security advisory page; no specific patch or mitigation guidance is detailed in the available sources.
The associated EPSS score reached a peak of 0.3209 and currently stands at 0.2858.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-28488
Vulnerability details
An information leak in currentsetting.htm of Netgear R6850 v1.1.0.88 allows attackers to obtain sensitive information without any authentication required.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Unauthenticated information leak via currentsetting.htm enables discovery of Wi-Fi settings (T1016.002) and dumping of network device configuration (T1602.002).
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.