CVE-2022-45354
Published: 08 January 2024
Summary
CVE-2022-45354 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Wpchill Download Monitor. Its CVSS base score is 5.3 (Medium).
Operationally, ranked in the top 0.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
The vulnerability CVE-2022-45354 is an Exposure of Sensitive Information to an Unauthorized Actor flaw, also referenced as CWE-200, that affects the WPChill Download Monitor WordPress plugin from unknown versions through 4.7.60. It received a CVSS 3.1 base score of 5.3 reflecting a network-accessible attack with low complexity that requires no authentication or user interaction and yields limited confidentiality impact.
An unauthenticated remote attacker can exploit the issue to obtain sensitive information exposed by the plugin without any other preconditions.
The vulnerability is tracked in the Patchstack database as a sensitive data exposure issue in the Download Monitor plugin version 4.7.60. The associated EPSS score is 0.8936 with an identical recorded peak and no indicated rise from a lower baseline.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-48251
Vulnerability details
Exposure of Sensitive Information to an Unauthorized Actor vulnerability in WPChill Download Monitor.This issue affects Download Monitor: from n/a through 4.7.60.
- 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.