CVE-2023-44982
Published: 19 December 2023
Summary
CVE-2023-44982 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Meowapps Perfect Images. Its CVSS base score is 5.3 (Medium).
Operationally, ranked in the top 5.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
The vulnerability is an exposure of sensitive information to an unauthorized actor, tracked as CVE-2023-44982, affecting the Perfect Images plugin (also known as wp-retina-2x) for WordPress. It impacts versions from n/a through 6.4.5 and stems from CWE-200, allowing limited disclosure of sensitive data, most likely through accessible log files. The issue carries a CVSS 3.1 score of 5.3, reflecting network attack vector, low complexity, and no requirements for authentication or user interaction.
Unauthenticated remote attackers can exploit the flaw over the network to read sensitive information stored in log files, achieving partial confidentiality impact without affecting integrity or availability. This scenario requires no special privileges or user assistance, making the plugin's exposed endpoints the primary target for information disclosure.
Advisories published via Patchstack detail the sensitive data exposure via log file vulnerability in the wp-retina-2x plugin at version 6.4.5 and point to the need for updates to address the issue.
EPSS scores for this CVE rose from a low baseline to a peak of 0.1851, indicating that exploitation interest emerged after disclosure and that the vulnerability warrants renewed attention.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-49304
Vulnerability details
Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Jordy Meow Perfect Images (Manage Image Sizes, Thumbnails, Replace, Retina).This issue affects Perfect Images (Manage Image Sizes, Thumbnails, Replace, Retina): from n/a through 6.4.5.
- 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.