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CVE-2026-22489
WordPress vulnerability analysis and mitigation

Overview

CVE-2026-22489 is an Authorization Bypass Through User-Controlled Key (IDOR) vulnerability in the Wptexture Image Slider Slideshow WordPress plugin. It affects all versions from n/a through 1.8 and was published on January 8, 2026, by Patchstack. The flaw allows authenticated low-privileged users to exploit incorrectly configured access control security levels to modify restricted slider content. It carries a CVSS v3.1 base score of 4.3 (Medium), assigned by Patchstack (Patchstack, Red Hat CVE).

Technical details

The vulnerability is classified as CWE-639 (Authorization Bypass Through User-Controlled Key), commonly known as an Insecure Direct Object Reference (IDOR). The plugin fails to properly validate whether an authenticated user is authorized to access or modify specific slider objects, allowing a user to supply a manipulated key or identifier to reference resources they should not have access to. Exploitation requires only a low-privileged authenticated account (e.g., a subscriber-level WordPress user), no user interaction, and is achievable over the network with low attack complexity (Patchstack, Red Hat CVE).

Impact

Successful exploitation allows an authenticated attacker with minimal privileges to make unauthorized modifications to slider/slideshow content managed by the plugin, impacting content integrity. There is no confidentiality or availability impact based on the CVSS assessment. The scope is limited to the affected WordPress installation, with no evidence of lateral movement potential or sensitive data exposure (Patchstack, Red Hat CVE).

Exploitability

No public proof-of-concept exploit code or in-the-wild exploitation has been reported for this vulnerability. The EPSS score is approximately 0.026%, indicating a very low probability of exploitation in the near term. The vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog. Exploitation requires an authenticated session, further limiting the attack surface (Red Hat CVE).

Exploitation steps

  1. Reconnaissance: Identify WordPress sites running the Image Slider Slideshow plugin (version ≤ 1.8) by Wptexture, using tools like WPScan or by inspecting plugin directories.
  2. Obtain low-privileged access: Register or obtain credentials for a low-privileged WordPress account (e.g., subscriber role) on the target site.
  3. Identify slider object identifiers: Browse or interact with the plugin's frontend or backend to enumerate slider IDs or object keys used in plugin requests.
  4. Craft unauthorized request: Submit a crafted HTTP request (e.g., POST or GET) to the plugin's endpoint, substituting a slider object ID belonging to another user or a restricted resource.
  5. Achieve unauthorized modification: Due to missing authorization checks, the plugin processes the request and modifies the targeted slider content without verifying ownership or permission (Patchstack).

Indicators of compromise

  • Logs: WordPress access logs showing authenticated requests to Image Slider Slideshow plugin endpoints with object IDs not associated with the requesting user's account; repeated requests cycling through sequential slider IDs.
  • File System: Unexpected changes to slider configuration data or database entries for sliders not owned by the modifying user.
  • Application: Unexplained alterations to published slideshow content on the WordPress site without corresponding admin activity in the audit log.

Mitigation and workarounds

WordPress site administrators should update the Image Slider Slideshow plugin by Wptexture to a version beyond 1.8 if a patched release is available, or deactivate and remove the plugin until a fix is confirmed. Restricting plugin access to trusted roles only (e.g., removing subscriber-level access to plugin functionality) can reduce exposure. Monitoring WordPress user activity logs for unexpected modifications to slider content is recommended as a compensating control (Patchstack).

Additional resources


SourceThis report was generated using AI

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