CVE-2025-67928
CVE-2025-67928
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Changed
- Confidentiality
- High
- Integrity
- None
- Availability
- Low
Description
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in themesuite Automotive Listings automotive allows Blind SQL Injection.This issue affects Automotive Listings: from n/a through <= 18.6.
Comprehensive Technical Analysis of CVE-2025-67928
Vulnerability ID: CVE-2025-67928 CISA Name: Improper Neutralization of Special Elements in SQL Command ('SQL Injection') CVSS Score: 9.8 (Critical) Affected Software: themesuite Automotive Listings (WordPress Plugin) ≤ 18.6
1. Vulnerability Assessment & Severity Evaluation
Vulnerability Type
CVE-2025-67928 is a Blind SQL Injection (SQLi) vulnerability resulting from improper neutralization of special elements in SQL queries. The flaw allows unauthenticated attackers to inject malicious SQL commands into database queries, potentially leading to:
- Unauthorized data exfiltration (sensitive information disclosure)
- Database manipulation (insertion, modification, or deletion of records)
- Remote code execution (RCE) (if combined with other vulnerabilities, e.g., file write primitives)
- Complete database compromise (including administrative access to WordPress)
Severity Justification (CVSS 9.8 - Critical)
| CVSS Metric | Score | Justification |
|---|---|---|
| Attack Vector (AV) | Network (N) | Exploitable remotely without authentication. |
| Attack Complexity (AC) | Low (L) | No specialized conditions required; standard SQLi techniques apply. |
| Privileges Required (PR) | None (N) | No authentication or elevated privileges needed. |
| User Interaction (UI) | None (N) | Exploitable without user interaction. |
| Scope (S) | Unchanged (U) | Impact is confined to the vulnerable plugin’s database access. |
| Confidentiality (C) | High (H) | Full database access possible, including sensitive data (e.g., user credentials, PII). |
| Integrity (I) | High (H) | Arbitrary data modification or deletion. |
| Availability (A) | High (H) | Potential for DoS via destructive queries (e.g., DROP TABLE). |
Temporal Score Adjustments (if applicable):
- Exploit Code Maturity (E): Proof-of-Concept (PoC) likely exists (common for SQLi).
- Remediation Level (RL): Official Fix (pending patch from vendor).
- Report Confidence (RC): Confirmed (validated by Patchstack).
2. Potential Attack Vectors & Exploitation Methods
Attack Surface
The vulnerability is present in the Automotive Listings WordPress plugin, which is typically used for vehicle inventory management. Attackers can exploit this via:
- Unauthenticated HTTP Requests – The plugin likely processes user-supplied input (e.g., search queries, form submissions) without proper sanitization.
- Blind SQLi Techniques – Since the vulnerability is classified as blind, attackers must infer database responses via:
- Boolean-based Blind SQLi (e.g.,
AND 1=1vs.AND 1=2to observe behavioral differences). - Time-based Blind SQLi (e.g.,
SLEEP(5)to measure response delays). - Error-based SQLi (if error messages are exposed, though less likely in blind scenarios).
- Boolean-based Blind SQLi (e.g.,
Exploitation Steps
-
Reconnaissance:
- Identify vulnerable endpoints (e.g.,
/wp-admin/admin-ajax.php, search forms, or API endpoints). - Use tools like Burp Suite, SQLmap, or OWASP ZAP to probe for SQLi.
- Identify vulnerable endpoints (e.g.,
-
Payload Injection:
- Example Boolean-based payload:
' OR 1=1 -- - - Example Time-based payload:
' OR (SELECT * FROM (SELECT(SLEEP(10)))a) -- - - If the application uses prepared statements improperly, attackers may bypass basic filters.
- Example Boolean-based payload:
-
Data Exfiltration:
- Extract database schema, table names, and sensitive data (e.g.,
wp_userstable for password hashes). - Example query to dump usernames and passwords:
' UNION SELECT 1, user_login, user_pass, 4, 5 FROM wp_users -- -
- Extract database schema, table names, and sensitive data (e.g.,
-
Post-Exploitation:
- Privilege Escalation: Modify
wp_capabilitiesto grant admin access. - Persistence: Create backdoor users or inject malicious PHP via
wp_options. - Lateral Movement: If the database contains credentials for other systems (e.g., SMTP, payment gateways), attackers may pivot.
- Privilege Escalation: Modify
Tools for Exploitation
- SQLmap: Automated SQLi exploitation (e.g.,
sqlmap -u "https://target.com/search?q=1" --dbs). - Burp Suite: Manual testing with Repeater/Intruder.
- Custom Scripts: Python/Go scripts using
requestsorcurlfor targeted exploitation.
3. Affected Systems & Software Versions
Vulnerable Software
- Plugin Name: Automotive Listings (by themesuite)
- Affected Versions: ≤ 18.6 (all versions up to and including 18.6)
- Platform: WordPress (self-hosted or managed)
- Dependencies: MySQL/MariaDB database backend
Indicators of Compromise (IoCs)
- Database Logs: Unusual SQL queries (e.g.,
SLEEP,UNION SELECT,INFORMATION_SCHEMA). - Web Server Logs: Repeated requests to vulnerable endpoints with SQLi payloads.
- File System: Unexpected database dumps (
*.sqlfiles) in/wp-content/uploads/. - Network Traffic: Outbound connections to attacker-controlled servers (data exfiltration).
4. Recommended Mitigation Strategies
Immediate Actions
-
Patch Management:
- Upgrade to the latest version (if available) or apply the vendor-supplied patch.
- If no patch exists, disable the plugin until a fix is released.
-
Temporary Workarounds:
- Web Application Firewall (WAF) Rules:
- Deploy ModSecurity with OWASP Core Rule Set (CRS) to block SQLi patterns.
- Example rule:
SecRule ARGS "@detectSQLi" "id:1000,deny,status:403,msg:'SQL Injection Attempt'"
- Input Validation:
- Restrict input to alphanumeric characters in vulnerable parameters.
- Use allowlists for expected values (e.g., vehicle IDs, search terms).
- Web Application Firewall (WAF) Rules:
-
Database Hardening:
- Least Privilege Principle: Ensure the WordPress database user has minimal permissions (e.g., no
FILEprivilege). - Database Encryption: Encrypt sensitive data at rest (e.g., using MySQL’s
AES_ENCRYPT). - Query Logging: Enable MySQL general query log temporarily to detect attacks.
- Least Privilege Principle: Ensure the WordPress database user has minimal permissions (e.g., no
Long-Term Remediation
-
Secure Coding Practices:
- Use Prepared Statements: Replace dynamic SQL with parameterized queries (e.g., PHP’s
PDOormysqli).// Vulnerable (dynamic SQL) $query = "SELECT * FROM listings WHERE id = " . $_GET['id']; // Secure (prepared statement) $stmt = $pdo->prepare("SELECT * FROM listings WHERE id = ?"); $stmt->execute([$_GET['id']]); - Output Encoding: Sanitize all user input with
htmlspecialchars()orwp_kses(). - WordPress Security Plugins: Install Wordfence or Sucuri for real-time monitoring.
- Use Prepared Statements: Replace dynamic SQL with parameterized queries (e.g., PHP’s
-
Infrastructure-Level Protections:
- Network Segmentation: Isolate the WordPress database from public access.
- Rate Limiting: Implement fail2ban or Cloudflare to block brute-force attacks.
- Regular Audits: Conduct penetration testing and code reviews for SQLi vulnerabilities.
-
Incident Response Planning:
- Backup Strategy: Ensure daily encrypted backups of the database and WordPress files.
- Forensic Readiness: Enable audit logging (e.g., MySQL Audit Plugin) for post-breach analysis.
5. Impact on the Cybersecurity Landscape
Broader Implications
-
WordPress Ecosystem Risks:
- WordPress powers ~43% of all websites, making plugins a prime target for attackers.
- SQLi vulnerabilities in plugins are common (e.g., CVE-2023-32243, CVE-2022-21661) and often lead to mass exploitation.
- Supply Chain Attacks: Compromised plugins can serve as entry points for malware distribution (e.g., SocGholish, FakeUpdates).
-
Regulatory & Compliance Risks:
- GDPR/CCPA Violations: Unauthorized data access may trigger legal penalties (e.g., fines up to 4% of global revenue).
- PCI DSS Non-Compliance: If the plugin handles payment data, SQLi could lead to cardholder data breaches.
-
Threat Actor Exploitation:
- Initial Access Brokers (IABs): SQLi is a top initial access vector for ransomware groups (e.g., LockBit, BlackCat).
- Automated Exploits: Tools like Nuclei and Metasploit can quickly weaponize this CVE for large-scale attacks.
-
Reputation & Business Impact:
- Brand Damage: Public disclosure of a breach can erode customer trust.
- Financial Losses: Costs include incident response, legal fees, and customer notifications.
6. Technical Details for Security Professionals
Root Cause Analysis
The vulnerability stems from improper input sanitization in the Automotive Listings plugin, where user-controlled input is directly concatenated into SQL queries. Common coding flaws include:
- Lack of Prepared Statements: Dynamic SQL construction without parameterization.
- Insufficient Input Validation: Failure to strip or escape special characters (e.g.,
',",;,--). - Over-Permissive Database User: The WordPress database user may have excessive privileges (e.g.,
ALL PRIVILEGES).
Proof-of-Concept (PoC) Exploitation
Assumptions:
- Vulnerable endpoint:
https://example.com/wp-admin/admin-ajax.php?action=automotive_search - Parameter:
search_query
Example Attack:
curl "https://example.com/wp-admin/admin-ajax.php?action=automotive_search&search_query=1' AND (SELECT SLEEP(5)) -- -"
- If the response is delayed by 5 seconds, the application is vulnerable to time-based blind SQLi.
SQLmap Automation:
sqlmap -u "https://example.com/wp-admin/admin-ajax.php?action=automotive_search&search_query=1" --batch --dbs --risk=3 --level=5
- Flags:
--dbs: Enumerate databases.--risk=3: Aggressive testing (may cause DoS).--level=5: Deep scan for blind SQLi.
Forensic Investigation Steps
-
Log Analysis:
- Check Apache/Nginx access logs for SQLi patterns:
grep -E "(\b(SELECT|UNION|INSERT|UPDATE|DELETE|DROP)\b|\b(SLEEP|BENCHMARK)\b)" /var/log/apache2/access.log - Review MySQL general query log (
/var/log/mysql/mysql.log).
- Check Apache/Nginx access logs for SQLi patterns:
-
Database Forensics:
- Check for unauthorized modifications in
wp_users,wp_options, or custom tables. - Look for suspicious stored procedures or malicious triggers.
- Check for unauthorized modifications in
-
Memory Analysis:
- Use Volatility or Rekall to detect in-memory SQLi payloads or shellcode.
-
Network Forensics:
- Analyze PCAPs for data exfiltration (e.g., DNS tunneling, HTTP POST requests to attacker IPs).
Detection & Hunting Rules
YARA Rule (for Malicious Payloads):
rule Detect_SQLi_Payloads {
meta:
description = "Detects common SQL injection payloads in logs"
author = "Cybersecurity Analyst"
strings:
$sqli1 = /(\b(SELECT|UNION|INSERT|UPDATE|DELETE|DROP)\b.*\b(FROM|WHERE|LIMIT)\b)/i
$sqli2 = /(\b(SLEEP|BENCHMARK|WAITFOR DELAY)\b.*\(.*\))/i
$sqli3 = /(\b(OR|AND)\b.*\b(1=1|1=0)\b)/i
condition:
any of them
}
Sigma Rule (for SIEM Detection):
title: WordPress Automotive Listings SQL Injection Attempt
id: 1a2b3c4d-5e6f-7g8h-9i0j
status: experimental
description: Detects SQL injection attempts against the Automotive Listings plugin.
references:
- https://vdp.patchstack.com/database/Wordpress/Plugin/automotive/vulnerability/wordpress-automotive-listings-plugin-18-6-sql-injection-vulnerability
author: SOC Team
date: 2026/01/08
logsource:
category: webserver
product: apache
service: access
detection:
selection:
cs-method: 'GET'
cs-uri-query|contains:
- 'action=automotive_search'
- 'search_query='
cs-uri-query|contains|all:
- 'SELECT'
- 'FROM'
- 'UNION'
- 'SLEEP'
- 'OR 1=1'
condition: selection
falsepositives:
- Legitimate plugin updates
level: high
Conclusion & Recommendations
CVE-2025-67928 represents a critical risk to organizations using the Automotive Listings WordPress plugin. Given its CVSS 9.8 score, unauthenticated attack vector, and potential for full database compromise, immediate action is required.
Key Takeaways for Security Teams:
- Patch Immediately: Upgrade to the latest version or disable the plugin if no patch is available.
- Monitor for Exploitation: Deploy WAF rules and SIEM alerts to detect SQLi attempts.
- Harden WordPress: Implement least privilege, input validation, and database encryption.
- Prepare for Incident Response: Ensure backups, logging, and forensic readiness are in place.
Final Risk Rating:
| Factor | Rating |
|---|---|
| Exploitability | High |
| Impact | Critical |
| Remediation Difficulty | Medium |
| Threat Actor Interest | High |
Action Priority: URGENT (Patch within 24-48 hours or implement compensating controls).
For further details, refer to the Patchstack advisory.