CVE-2020-37004: Ultimate Project Manager CRM SQLI Flaw

CVE-2020-37004 Overview

CVE-2020-37004 is a blind SQL injection vulnerability affecting Ultimate Project Manager CRM PRO version 2.0.5. This vulnerability allows attackers to extract usernames and password hashes from the tbl_users database table through the /frontend/get_article_suggestion/ endpoint. By crafting malicious search parameters, attackers can progressively guess and retrieve user credentials through boolean-based inference techniques, potentially leading to complete compromise of user accounts and sensitive data exposure.

Critical Impact

Attackers can extract authentication credentials including usernames and password hashes from the database, enabling account takeover and unauthorized access to the CRM system.

Affected Products

• Ultimate Project Manager CRM PRO version 2.0.5

Discovery Timeline

• 2026-01-29 - CVE-2020-37004 published to NVD
• 2026-01-29 - Last updated in NVD database

Technical Details for CVE-2020-37004

Vulnerability Analysis

This vulnerability is classified as CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). The vulnerable endpoint /frontend/get_article_suggestion/ fails to properly sanitize user-supplied input in search parameters before incorporating them into database queries. This blind SQL injection allows attackers to infer database contents through boolean-based techniques, where the application's response behavior changes based on whether injected SQL conditions evaluate to true or false.

The network-accessible nature of this vulnerability means attackers can exploit it remotely without physical access to the target system. Authentication may be required to access the vulnerable endpoint, but once accessible, the attacker can systematically extract sensitive data from the tbl_users table including usernames and password hashes.

Root Cause

The root cause of this vulnerability is insufficient input validation and parameterization in the article suggestion functionality. The application directly incorporates user-controlled search parameters into SQL queries without proper sanitization or the use of prepared statements. This allows specially crafted input containing SQL syntax to modify the intended query behavior, enabling data extraction through inference-based techniques.

Attack Vector

The attack is conducted over the network by sending crafted HTTP requests to the /frontend/get_article_suggestion/ endpoint. Attackers leverage boolean-based blind SQL injection techniques, constructing payloads that cause measurable differences in the application's response based on whether injected conditions evaluate to true or false. Through iterative requests, attackers can progressively extract character-by-character values from database fields, ultimately reconstructing complete usernames and password hashes from the tbl_users table.

The exploitation involves systematically testing conditions against database content, using SQL functions to extract individual characters and compare them against known values. This process, while time-consuming, can be automated to efficiently extract all user credentials stored in the affected table.

For technical exploitation details, see the Exploit-DB #48912 entry and the Vulncheck Advisory on SQLi Leakage.

Detection Methods for CVE-2020-37004

Indicators of Compromise

• Unusual or repeated HTTP requests to the /frontend/get_article_suggestion/ endpoint with suspicious search parameters
• SQL syntax characters in request parameters such as single quotes, UNION statements, or boolean conditions
• High volume of requests from a single source to the vulnerable endpoint in rapid succession
• Database query logs showing malformed or unexpected SQL patterns

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in request parameters
• Monitor application logs for repeated requests to /frontend/get_article_suggestion/ with varying payloads
• Deploy intrusion detection systems (IDS) with signatures for boolean-based blind SQL injection techniques
• Analyze database query logs for anomalous query patterns or syntax errors indicative of injection attempts

Monitoring Recommendations

• Enable detailed logging for the /frontend/get_article_suggestion/ endpoint and review logs regularly
• Set up alerts for rapid sequential requests to the vulnerable endpoint from individual IP addresses
• Monitor database activity for unusual read patterns against the tbl_users table
• Implement rate limiting on the article suggestion endpoint to slow potential automated extraction attempts

How to Mitigate CVE-2020-37004

Immediate Actions Required

• Restrict access to the /frontend/get_article_suggestion/ endpoint to authenticated and authorized users only
• Implement input validation and sanitization for all search parameters
• Deploy a Web Application Firewall with SQL injection protection rules
• Review and audit database access patterns for signs of prior exploitation
• Consider temporarily disabling the article suggestion feature until a patch is applied

Patch Information

Review the vendor's security overview for available updates and patches. Organizations should contact CodexCube directly for information regarding security patches addressing this SQL injection vulnerability in Ultimate Project Manager CRM PRO.

Workarounds

• Use prepared statements or parameterized queries by modifying the application code handling the article suggestion functionality
• Implement strict input validation to reject requests containing SQL metacharacters
• Apply network-level access controls to limit who can reach the vulnerable endpoint
• Deploy database monitoring to detect and alert on potential data exfiltration attempts

# Example WAF rule to block common SQL injection patterns
# Add to ModSecurity configuration
SecRule ARGS "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQL Injection Attempt Detected',log,auditlog"

# Restrict access to vulnerable endpoint by IP (Apache example)
<Location /frontend/get_article_suggestion/>
    Require ip 192.168.1.0/24
</Location>