CVE-2024-31817
Published: 08 April 2024
Summary
CVE-2024-31817 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Totolink Ex200 Firmware. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Network Device Configuration Dump (T1602.002); ranked in the top 7.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
CVE-2024-31817 is an information disclosure vulnerability affecting the TOTOLINK EX200 wireless range extender running firmware version V4.0.3c.7646_B20201211. The flaw resides in the getSysStatusCfg function and is tracked under CWE-200, allowing exposure of sensitive information; it carries a CVSS 3.1 base score of 7.5 reflecting network attack vector, low complexity, and no required authentication or user interaction.
An unauthenticated remote attacker can invoke the affected function over the network to retrieve sensitive system configuration details without authorization, resulting in high-impact confidentiality loss while leaving integrity and availability unaffected.
Public proof-of-concept material describing the issue is available in GitHub repositories. The associated EPSS score rose from a low baseline to a peak of 0.1035 on 2025-12-11 before receding to its current value of 0.0817, indicating emerging post-disclosure exploitation interest.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-29690
Vulnerability details
In TOTOLINK EX200 V4.0.3c.7646_B20201211, an attacker can obtain sensitive information without authorization through the function getSysStatusCfg.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability enables unauthorized access to the getSysStatusCfg function on the TOTOLINK EX200 router, allowing attackers to dump network device configuration and sensitive system status information (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.