Calgary, Alberta, Canada
sales@hackhalt.com
Free Download Free Download Free Download
Explore Pricing Explore Pricing Explore Pricing

Blog

"Prevention is cheaper than a breach"

Home / Threats / CVE-2026-2993

CVE-2026-2993 - Ai Copilot Content Generator Plugin

CVE-2026-2993

Vulnerability CVE-2026-2993 PLUGIN ai-copilot-content-generator HIGH

The AI Chatbot & Workflow Automation by AIWU plugin for WordPress is vulnerable to SQL Injection in versions up to, and including, 1.4.17 due to insufficient escaping on user supplied parameters and lack of sufficient preparation on the existing SQL query in the getListForTbl() function. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database. NOTE: This issue is partially mitigated by a patch in version 1.4.11 that adds a nonce check for a nonce that is only available to administrators.

CVE-2026-2993

HIGH CVSS 7.5 Published 2026-05-12 Updated 2026-05-12
AI Risk Elevated (74/100) Active Exploit: No strong signal Published Exploit: No public exploit references Priority: P3 Priority
Severity Band HIGH
CVSS Vector CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Affected Components 2
Reference Links 10
AI Risk Engine Elevated (74/100)
Exploitability Medium
Active Exploitation No strong signal
Published Exploit Status No public exploit references

Threat Timeline

  1. 2026-05-12 CVE published and first recorded in the threat feed.
  2. 2026-05-12 Record updated with latest vulnerability metadata.
  3. 2026-05-23 AI technical context refreshed for mitigation and impact guidance.
  4. Now Monitoring for follow-up changes, linked references, and new related CVEs.

AI Context

Machine-generated threat intelligence

AI Updated 6 hours ago

AI enriched 6 hours ago (2026-05-23 15:53 UTC)

Technical Summary

The AI Chatbot & Workflow Automation by AIWU plugin for WordPress is vulnerable to SQL Injection in versions up to, and including, 1.4.17 due to insufficient escaping on user supplied parameters and lack of sufficient preparation on the existing SQL query in the getListForTbl() function. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database. NOTE: This issue is partially mitigated by a…

Potential Impact

Severity is HIGH (CVSS 7.5). 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 low-bar exploit prerequisites.

Primary risk drivers: low-bar exploit prerequisites

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 74/100 (Elevated, Medium) with priority P3 Priority. Prioritize remediation where affected components process customer data, admin sessions, or Internet-exposed workflows.

References

Scroll to top