CVE-2021-4428 - Autosuggest Plugin
CVE-2021-4428
A vulnerability has been found in what3words Autosuggest Plugin up to 4.0.0 on WordPress and classified as problematic. Affected by this vulnerability is the function enqueue_scripts of the file w3w-autosuggest/public/class-w3w-autosuggest-public.php of the component Setting Handler. The manipulation leads to information disclosure. The attack can be launched remotely. Upgrading to version 4.0.1 is able to address this issue. The patch is named dd59cbac5f86057d6a73b87007c08b8bfa0c32ac. It is recommended to upgrade the affected component. The associated identifier of this vulnerability is VDB-234247.
CVE-2021-4428
LOW
CVSS 2.7
Published 2023-07-18
Updated 2024-11-21
AI Risk Low (34/100)
Active Exploit: No strong signal
Published Exploit: Public exploit references found
Priority: P5 Monitor
Severity Band
LOW
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N
Affected Components
1
Reference Links
5
AI Risk Engine
Low (34/100)
Exploitability
Medium
Active Exploitation
No strong signal
Published Exploit Status
Public exploit references found
AI Context
Machine-generated threat intelligence
AI
Updated 4 days ago
AI enriched 4 days ago (2026-04-12 02:15 UTC)
Technical Summary
A vulnerability has been found in what3words Autosuggest Plugin up to 4.0.0 on WordPress and classified as problematic. Affected by this vulnerability is the function enqueue_scripts of the file w3w-autosuggest/public/class-w3w-autosuggest-public.php of the component Setting Handler. The manipulation leads to information disclosure. The attack can be launched remotely. Upgrading to version 4.0.1 is able to address this issue. The patch is named dd59cbac5f86057d6a73b87007c08b8bfa0c32ac. It is recommended to upgrade the affected component. The associated identifier of this vulnerability is VDB-234247.
Potential Impact
Severity is LOW (CVSS 2.7). Depending on deployment context, affected components may be exposed to unauthorized actions or data integrity risk.
Exploitability Assessment
Exploitability is assessed as Medium based on published exploit references.
Primary risk drivers: published exploit references
Mitigation Recommendations
Validate affected product versions, prioritize patching, and monitor references for vendor remediation guidance. If immediate patching is not possible, apply compensating controls and limit exposure of vulnerable surfaces.
Detection & Monitoring
Track authentication anomalies, unexpected file writes, and suspicious plugin API activity around affected components.
Business Impact Lens
AI risk score 34/100 (Low, Medium) with priority P5 Monitor. Prioritize remediation where affected components process customer data, admin sessions, or Internet-exposed workflows.