CVE-2025-58236
WordPress vulnerability analysis and mitigation

Overview

CVE-2025-58236 is a Cross-Site Request Forgery (CSRF) vulnerability in the WordPress plugin "Force Update Translations" by Mayo Moriyama. It affects all versions up to and including 0.5, and was disclosed on September 22, 2025. The vulnerability carries a CVSS v3.1 base score of 4.3 (Medium) (Patchstack, Red Hat).

Technical details

The vulnerability is classified as CWE-352 (Cross-Site Request Forgery) and stems from missing or insufficient nonce verification on one or more plugin actions, allowing an attacker to forge requests on behalf of authenticated users (Patchstack). Exploitation requires no privileges on the attacker's part but does require user interaction — specifically, a privileged WordPress user (e.g., an administrator) must be tricked into clicking a malicious link or visiting a crafted page while authenticated. The attack vector is network-based with low complexity, and there is no impact on confidentiality or availability — only a low integrity impact (Red Hat).

Impact

Successful exploitation could allow an unauthenticated attacker to force a higher-privileged WordPress user to trigger unintended translation update actions under their authenticated session, resulting in unauthorized state changes on the affected site (Patchstack). The impact is limited to low integrity compromise with no confidentiality or availability consequences, and lateral movement potential is minimal given the narrow scope of the plugin's functionality.

Exploitability

There is no known public proof-of-concept exploit or evidence of in-the-wild exploitation for CVE-2025-58236 at this time. The EPSS score is approximately 0.014% (0.000140), indicating a very low probability of exploitation in the near term (Feedly). The vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog. Patchstack notes that while CSRF vulnerabilities of this class are sometimes used in mass-exploit campaigns, this specific issue is assessed as low priority and unlikely to be exploited (Patchstack).

Exploitation steps

  1. Reconnaissance: Identify WordPress sites running the Force Update Translations plugin version 0.5 or earlier, using tools like WPScan or Shodan.
  2. Craft malicious request: Create an HTML page or link containing a forged HTTP request targeting the vulnerable plugin action endpoint (e.g., a form auto-submitting to the WordPress admin AJAX or plugin-specific URL that triggers a translation update).
  3. Social engineering: Deliver the malicious link or page to a logged-in WordPress administrator via phishing email, comment, or other channel.
  4. Trigger CSRF: When the administrator visits the crafted page, their browser automatically submits the forged request with their authenticated session cookies, causing the plugin to execute the translation update action without their knowledge (Patchstack).

Indicators of compromise

  • Logs: Unexpected or repeated requests to WordPress admin endpoints associated with the Force Update Translations plugin (e.g., admin-post.php or admin-ajax.php with plugin-specific action parameters) originating from unusual referrers or external domains.
  • WordPress Activity: Unexplained translation update events in WordPress admin logs or audit trail plugins, particularly if not initiated by a known administrator action.

Mitigation and workarounds

Update the Force Update Translations plugin to version 0.6.0 or later, which resolves the CSRF vulnerability (Patchstack). If an immediate update is not possible, site owners should contact their hosting provider or web developer for assistance. Patchstack users can enable auto-update for vulnerable plugins as an interim protective measure.

Community reactions

The vulnerability was discovered and reported by security researcher Nabil Irawan on July 31, 2025, and published by Patchstack on September 22, 2025 (Patchstack). No significant broader media coverage or notable community discussion has been identified for this low-severity issue.

Additional resources


SourceThis report was generated using AI

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