CVE-2022-1595
Published: 13 June 2022
Summary
CVE-2022-1595 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Hc Custom Wp-Admin Url Project Hc Custom Wp-Admin Url. Its CVSS base score is 5.3 (Medium).
Operationally, 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 is an information disclosure issue, identified as CWE-200, affecting the HC Custom WP-Admin URL WordPress plugin through version 1.4. The flaw causes the plugin to leak the secret login URL when it receives a specific crafted request, rated at CVSS 5.3 with network attack vector, low complexity, and no required privileges or user interaction.
An unauthenticated attacker can exploit the issue remotely by sending the crafted request to obtain the otherwise-hidden admin URL, resulting in limited exposure of sensitive configuration details without further impact on integrity or availability.
The EPSS score reached a peak of 0.3108 with a current value of 0.2808, indicating moderate and relatively stable exploitation interest following public disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-24884
Vulnerability details
The HC Custom WP-Admin URL WordPress plugin through 1.4 leaks the secret login URL when sending a specific crafted request
- 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.