CVE-2025-67081: Itflow SQL Injection Vulnerability

CVE-2025-67081 Overview

An SQL injection vulnerability has been identified in ITFlow through version 25.06, specifically in the role_id parameter when editing a profile. An attacker with admin account privileges can exploit this issue via blind SQL injection, allowing for the extraction of arbitrary data from the database. The vulnerability arises from insufficient sanitization of an integer parameter, enabling malicious SQL queries to be executed against the backend database.

Critical Impact

Authenticated attackers with administrative access can extract sensitive data from the ITFlow database through blind SQL injection, potentially compromising user credentials, business data, and system configurations.

Affected Products

• ITFlow through version 25.06
• ITFlow web application installations with admin user access
• Systems utilizing ITFlow profile management functionality

Discovery Timeline

• 2026-01-15 - CVE CVE-2025-67081 published to NVD
• 2026-01-16 - Last updated in NVD database

Technical Details for CVE-2025-67081

Vulnerability Analysis

This SQL injection vulnerability (CWE-89) affects the profile editing functionality in ITFlow. The flaw exists due to improper handling of the role_id parameter, which is expected to be an integer value but lacks proper sanitization before being incorporated into SQL queries. Because the parameter is not properly validated or parameterized, an authenticated administrator can inject malicious SQL statements that are executed by the database engine.

The blind SQL injection nature of this vulnerability means attackers cannot directly see query results in the application response. Instead, they must infer information through timing-based or boolean-based techniques, observing how the application behaves differently based on whether injected conditions evaluate to true or false.

Root Cause

The vulnerability stems from insufficient input sanitization on the role_id integer parameter within the profile editing functionality. Rather than using parameterized queries or prepared statements, the application appears to directly concatenate user-supplied input into SQL queries. Integer parameters are often overlooked in security reviews since they're expected to contain only numeric values, but without explicit validation, attackers can inject SQL syntax that breaks out of the intended query structure.

Attack Vector

The attack requires network access and authenticated administrative privileges to the ITFlow application. An attacker would navigate to the profile editing functionality and manipulate the role_id parameter in the HTTP request. By crafting specially formed SQL injection payloads, the attacker can systematically extract database contents through blind inference techniques.

The exploitation process typically involves:

1. Identifying the vulnerable parameter in profile editing requests
2. Confirming SQL injection by observing differential responses to boolean conditions
3. Using time-based or boolean-based blind injection to extract data character by character
4. Targeting sensitive tables containing user credentials, customer data, or configuration information

For detailed technical information about this vulnerability, refer to the Helx Advisory Blog Post and the GitHub ITFlow Repository.

Detection Methods for CVE-2025-67081

Indicators of Compromise

• Unusual SQL syntax patterns appearing in the role_id parameter of profile editing requests
• Abnormally long response times on profile update operations indicating time-based SQL injection attempts
• Multiple sequential requests to profile editing endpoints from the same administrative session
• Database query logs showing unexpected UNION SELECT, SLEEP(), or conditional statements

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in the role_id parameter
• Monitor application logs for profile editing requests containing non-numeric characters in integer fields
• Deploy database activity monitoring to identify anomalous query patterns or data extraction attempts
• Configure intrusion detection systems with signatures for blind SQL injection techniques

Monitoring Recommendations

• Enable detailed logging for all profile management operations in ITFlow
• Set up alerts for administrative actions that deviate from normal usage patterns
• Monitor database query execution times to detect time-based injection attempts
• Implement audit trails for all changes to user roles and permissions

How to Mitigate CVE-2025-67081

Immediate Actions Required

• Review and restrict administrative account access to only essential personnel
• Implement additional input validation at the application level for the role_id parameter
• Enable Web Application Firewall protection with SQL injection detection rules
• Audit recent administrative activity for signs of exploitation

Patch Information

Monitor the GitHub ITFlow Repository for security updates addressing this vulnerability. Review the Helx Advisory Blog Post for additional guidance from the security researchers who disclosed this issue. Upgrade ITFlow to a patched version as soon as one becomes available.

Workarounds

• Implement strict input validation to ensure role_id contains only numeric values
• Deploy a Web Application Firewall (WAF) configured to block SQL injection attempts
• Restrict network access to ITFlow administrative functions to trusted IP addresses only
• Consider temporarily disabling the profile role editing feature until a patch is applied

# Example WAF rule configuration for ModSecurity
# Block SQL injection patterns in role_id parameter
SecRule ARGS:role_id "!@rx ^[0-9]+$" \
    "id:100001,phase:2,deny,status:403,msg:'SQL Injection attempt in role_id parameter'"

# Log suspicious requests for analysis
SecRule REQUEST_URI "@contains /profile" \
    "id:100002,phase:1,log,pass,msg:'Profile endpoint accessed - monitor for SQL injection'"