Executive Summary
A high-severity SQL injection vulnerability (CVE-2026-2993) has been identified in the AI Chatbot & Workflow Automation by AIWU plugin for WordPress. The flaw affects all versions up to and including 1.4.17 and carries a CVSS score of 7.5.
The vulnerability exists in the getListForTbl() function, which fails to adequately escape user-supplied parameters and does not sufficiently prepare its SQL queries. An unauthenticated attacker can craft malicious requests to inject arbitrary SQL, enabling extraction of sensitive data from the WordPress database — including user credentials, configuration data, and any information stored by the plugin.
Site owners running AIWU versions 1.4.17 or earlier should update to the latest version immediately.
Vulnerability Overview
| Attribute | Value |
|---|---|
| CVE ID | CVE-2026-2993 |
| CVSS Score | 7.5 (High) |
| CWE | CWE-89 — Improper Neutralization of Special Elements used in an SQL Command |
| Type | SQL Injection |
| Attack Vector | Network |
| Privileges Required | None (unauthenticated) |
| User Interaction | None |
| Authentication Required | No |
| Affected Component | getListForTbl() function |
| Patch Available | Yes — update to latest version |
Affected Versions
| Plugin | Affected Versions | Patched Version |
|---|---|---|
| AI Chatbot & Workflow Automation by AIWU | <= 1.4.17 (all versions) | Latest available via WordPress repository |
Technical Analysis
Root Cause
The vulnerability originates in the getListForTbl() function within the AIWU plugin codebase. Two compounding issues create the exploitable condition:
- Insufficient parameter escaping: User-supplied values passed to the function are not properly sanitized or escaped before being incorporated into SQL queries.
- Lack of prepared statement usage: The function constructs SQL queries through string concatenation rather than using parameterized queries or prepared statements — a practice that makes SQL injection inherently possible.
When these two conditions combine, an attacker who can reach the vulnerable endpoint can append or modify SQL syntax to alter the intended query logic.
Exploitation Scenario
1. Attacker identifies WordPress site running AIWU plugin <= 1.4.17
2. Attacker sends HTTP request to the vulnerable endpoint with injected SQL payload
3. The getListForTbl() function builds a query using the unsanitized input
4. MySQL/MariaDB executes the injected SQL within the context of the WordPress database user
5. Attacker receives data extracted from the database (users, emails, hashes, plugin data)Types of SQL Injection Likely Applicable
Based on the description (insufficient escaping + insufficient query preparation), the following injection types may be applicable:
| Technique | Description |
|---|---|
| UNION-based | Appending UNION SELECT clauses to retrieve additional table data |
| Boolean-based blind | Using conditional logic to infer data when output is suppressed |
| Time-based blind | Using SLEEP() or similar to infer data via response timing |
| Error-based | Triggering database errors to reveal data in error messages |
Impact Assessment
| Impact Area | Description |
|---|---|
| Credential Theft | WordPress user table (wp_users) contains hashed passwords and emails |
| Admin Account Exposure | Administrator credentials could be extracted and cracked offline |
| Plugin Data Exfiltration | AIWU stores chatbot conversations, workflows, and configuration data |
| Database Enumeration | All tables visible to the WordPress database user can be queried |
| Indirect Account Takeover | Cracked password hashes enable full site compromise |
| PII Exposure | Customer data, form submissions, and chat logs accessible |
| API Key Theft | AI provider API keys stored in plugin settings may be exposed |
AI chatbot plugins typically store sensitive configuration including API keys for services like OpenAI, Anthropic, or Google Gemini. A successful SQL injection against AIWU could expose these keys, resulting in financial loss from API abuse in addition to the data breach itself.
Immediate Remediation
Step 1: Update the AIWU Plugin
Update the plugin through the WordPress admin panel or via WP-CLI:
# Update via WP-CLI
wp plugin update [aiwu-plugin-slug]
# Verify installed version
wp plugin get [aiwu-plugin-slug] --field=versionOr navigate to: WordPress Admin → Plugins → Installed Plugins → AI Chatbot & Workflow Automation → Update Now
Step 2: Disable If Update Is Not Immediately Possible
# Deactivate plugin via WP-CLI until patched
wp plugin deactivate [aiwu-plugin-slug]Or navigate to: WordPress Admin → Plugins → AI Chatbot & Workflow Automation → Deactivate
Step 3: Audit for Signs of Exploitation
-- Check for recent unusual database access patterns in WordPress error logs
-- Review MySQL slow query log for injection signatures:
-- Common patterns: UNION SELECT, SLEEP(), information_schema, LOAD_FILE()
-- Example: Search error logs for injection indicators
grep -i "union select\|sleep(\|information_schema\|load_file" /var/log/mysql/error.log
-- Check recent WordPress admin logins (potential post-exploitation access)
wp user list --role=administrator --fields=user_login,user_email,user_registeredStep 4: Rotate Exposed Credentials and API Keys
If exploitation is suspected:
# Force password reset for all users
wp user list --format=ids | xargs -I {} wp user update {} --user_pass="$(openssl rand -base64 24)"
# Regenerate WordPress secret keys (invalidates all active sessions)
wp config shuffle-salts
# Rotate any AI provider API keys stored in the plugin settings
# (OpenAI, Anthropic, Google — log into the respective dashboards)Step 5: Implement a Web Application Firewall
Deploy WAF rules to block common SQL injection patterns as a layered defense:
# Example: Wordfence firewall rule for SQL injection blocking
# Wordfence Dashboard → Firewall → Extended Protection → Enable
# Example: ModSecurity rule for generic SQLi (Apache/Nginx)
SecRule ARGS "@detectSQLi" \
"id:1000001,phase:2,deny,status:403,msg:'SQL Injection Detected'"Detection Indicators
| Indicator | Location | Description |
|---|---|---|
| SQL syntax in request parameters | Web server access logs | UNION, SELECT, SLEEP(), OR 1=1 patterns |
| Unusual response sizes from AIWU endpoints | Access logs | Large data exfiltration responses |
| High query volume from single IP | MySQL slow query log | Blind injection enumeration |
| New WordPress admin accounts | wp_users table | Post-exploitation persistence |
| Modified plugin files | Filesystem | Backdoor installation after account takeover |
| Unauthorized API key usage | AI provider dashboards | API keys exposed via SQL injection |
Remediation Checklist
- Update AI Chatbot & Workflow Automation by AIWU to the latest version
- Deactivate the plugin immediately if update cannot be applied
- Rotate all AI provider API keys stored in plugin settings
- Review WordPress admin accounts for unauthorized additions
- Reset all user passwords and regenerate WordPress secret keys
- Search access logs for SQL injection attempt signatures
- Check the database for signs of data enumeration or exfiltration
- Deploy a WAF (Wordfence, Cloudflare, Sucuri) with SQLi protection rules
- Enable two-factor authentication on all administrator accounts
- Monitor for ongoing exploitation attempts post-patch