CVE-2019-1815
Published: 04 March 2025
Summary
CVE-2019-1815 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Meraki (inferred from references). Its CVSS base score is 5.3 (Medium).
Operationally, ranked in the top 46.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2019-10372
Vulnerability details
A security vulnerability was discovered in the local status page functionality of Cisco Meraki’s MX67 and MX68 security appliance models that may allow unauthenticated individuals to access and download logs containing sensitive, privileged device information. The vulnerability is due to…
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improper access control to the files holding debugging and maintenance information, and is only exploitable when the local status page is enabled on the device. An attacker exploiting this vulnerability may obtain access to wireless pre-shared keys, Site-to-Site VPN key and other sensitive information. Under certain circumstances, this information may allow an attacker to obtain administrative-level access to the device.
- 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.