CVE-2023-52219 in Terms Thumbnails Plugin
Summary
by MITRE • 01/08/2024
Deserialization of Untrusted Data vulnerability in Gecka Gecka Terms Thumbnails.This issue affects Gecka Terms Thumbnails: from n/a through 1.1.
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Analysis
by VulDB Data Team • 01/25/2024
The vulnerability identified as CVE-2023-52219 represents a critical deserialization of untrusted data flaw within the Gecka Terms Thumbnails WordPress plugin. This security weakness exists in versions ranging from the initial release through version 1.1, creating a potential attack vector that could be exploited by malicious actors to execute arbitrary code on affected systems. The vulnerability stems from the plugin's improper handling of serialized data structures, which are commonly used in WordPress for storing complex data objects in a serialized format. When the plugin processes user-supplied or externally provided data without adequate validation and sanitization, it becomes susceptible to malicious input that can be deserialized and executed within the context of the web application.
The technical exploitation of this vulnerability falls under the category of CWE-502, which specifically addresses deserialization of untrusted data. This weakness allows attackers to manipulate serialized objects in ways that can lead to remote code execution, data manipulation, or privilege escalation within the affected WordPress environment. The flaw typically occurs when the application deserializes data from untrusted sources such as user inputs, cookies, or HTTP headers without proper validation mechanisms. In the context of Gecka Terms Thumbnails, this vulnerability likely manifests when the plugin processes serialized thumbnail data or term metadata that has been tampered with by an attacker. The deserialization process can be manipulated to execute malicious code through the use of object injection techniques, potentially allowing attackers to gain unauthorized access to the WordPress installation.
The operational impact of CVE-2023-52219 extends beyond simple data corruption or service disruption, as it provides attackers with significant control over affected systems. An attacker who successfully exploits this vulnerability could potentially gain full administrative access to the WordPress site, leading to complete compromise of the web application and associated data. This includes the ability to modify or delete content, inject malicious code into the website, steal sensitive user information, or use the compromised system as a launchpad for further attacks within the network. The vulnerability's presence in the plugin's data handling processes means that any user with the ability to interact with the thumbnail or term management features could potentially serve as an attack vector. The risk is particularly elevated in environments where the plugin is widely used or where administrators do not maintain current security practices.
Mitigation strategies for CVE-2023-52219 should prioritize immediate patching of the affected Gecka Terms Thumbnails plugin to version 1.2 or later, which includes the necessary security fixes. Organizations should implement comprehensive monitoring of their WordPress installations to detect any suspicious activity that might indicate exploitation attempts. The principle of least privilege should be enforced by ensuring that the plugin's functionality is restricted to authorized users only, and that any user input is properly sanitized before processing. Network segmentation and intrusion detection systems can provide additional layers of protection by monitoring for unusual data serialization patterns or attempts to execute code through the vulnerable plugin. Security practitioners should also consider implementing web application firewalls that can detect and block malicious serialization attempts, and conduct regular security audits of WordPress plugins to identify other potential vulnerabilities. The ATT&CK framework categorizes this type of vulnerability under T1059.007 for command and script injection, making it a significant concern for defensive security operations that must account for deserialization-based attack vectors.