CVE-2026-24417: Devcode Openstamanager SQLi Vulnerability

CVE-2026-24417 Overview

CVE-2026-24417 is a critical Time-Based Blind SQL Injection vulnerability affecting OpenSTAManager, an open source management software designed for technical assistance and invoicing. The vulnerability exists in the global search functionality where the application fails to properly sanitize the term parameter before incorporating it into SQL LIKE clauses across multiple module-specific search handlers. This allows authenticated attackers to inject arbitrary SQL commands and extract sensitive data through time-based Boolean inference techniques.

Critical Impact

Attackers with low-privilege access can exploit this SQL Injection vulnerability to extract sensitive database contents including user credentials, customer information, invoicing data, and potentially achieve full database compromise through time-based blind extraction techniques.

Affected Products

• Devcode OpenSTAManager v2.9.8 and earlier versions
• All installations using the vulnerable global search functionality
• Deployments accessible over network without additional input validation controls

Discovery Timeline

• 2026-02-06 - CVE CVE-2026-24417 published to NVD
• 2026-02-09 - Last updated in NVD database

Technical Details for CVE-2026-24417

Vulnerability Analysis

This vulnerability is classified as CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The flaw resides in how OpenSTAManager processes user-supplied search terms within its global search feature. When users submit search queries, the term parameter is passed directly into SQL LIKE clauses without adequate sanitization or parameterization.

The time-based blind nature of this SQL Injection means attackers cannot directly observe query results but can infer database contents by injecting conditional statements that cause measurable time delays. By carefully crafting payloads that introduce delays based on Boolean conditions, attackers can systematically extract data character by character from the underlying database.

Root Cause

The root cause stems from improper input validation and the direct concatenation of user-controlled input into SQL queries. The global search functionality in OpenSTAManager constructs dynamic SQL queries by embedding the term parameter directly into LIKE clauses across multiple module-specific search handlers without using prepared statements or parameterized queries. This architectural flaw allows specially crafted input to break out of the intended query structure and execute attacker-controlled SQL commands.

Attack Vector

The attack is network-accessible and requires low privileges (authenticated user access). An attacker with valid credentials to the OpenSTAManager application can exploit this vulnerability by submitting malicious search queries through the global search interface. The exploitation follows these steps:

1. The attacker authenticates to OpenSTAManager with any valid user account
2. The attacker crafts a malicious search term containing SQL injection payloads with time-delay functions
3. The unsanitized input is passed to multiple module search handlers
4. The injected SQL executes within the database context
5. By observing response timing differences, the attacker infers database contents

The vulnerability can be exploited to extract sensitive information including usernames, password hashes, customer records, financial data, and system configuration details stored in the database. In worst-case scenarios, depending on database permissions, attackers may achieve command execution on the underlying server.

Detection Methods for CVE-2026-24417

Indicators of Compromise

• Unusual search queries containing SQL syntax elements such as single quotes, semicolons, UNION statements, or time-delay functions like SLEEP(), BENCHMARK(), or WAITFOR DELAY
• Abnormally long response times for search requests indicating time-based injection attempts
• Multiple rapid search requests from the same user session with incrementally varying payloads
• Database query logs showing malformed or suspicious LIKE clauses originating from search functionality

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in search parameters
• Enable detailed application logging for all search functionality to capture submitted parameters
• Configure database activity monitoring to alert on unusual query patterns or extended query execution times
• Deploy intrusion detection signatures for time-based SQL injection techniques

Monitoring Recommendations

• Monitor search endpoint access logs for patterns consistent with automated exploitation tools
• Set up alerts for database queries with abnormal execution durations exceeding baseline thresholds
• Review authentication logs in correlation with search activity to identify potentially compromised accounts
• Implement rate limiting on search functionality to slow automated extraction attempts

How to Mitigate CVE-2026-24417

Immediate Actions Required

• Update OpenSTAManager to the latest patched version beyond v2.9.8 immediately
• Review database access logs for evidence of exploitation attempts
• Audit user accounts and consider password rotation for all users if compromise is suspected
• Implement network-level access controls to limit exposure of the OpenSTAManager application

Patch Information

Devcode has released a security advisory addressing this vulnerability. Administrators should consult the GitHub Security Advisory GHSA-4hc4-8599-xh2h for official patch information and upgrade to a version that includes the security fix. The patch should implement proper input sanitization and parameterized queries for all search functionality.

Workarounds

• Deploy a Web Application Firewall configured with SQL injection protection rules in front of OpenSTAManager installations
• Restrict network access to the application using VPN or IP allowlisting to limit exposure to trusted users only
• Implement additional input validation at the web server or reverse proxy level to filter SQL metacharacters from search parameters
• Consider disabling or restricting the global search functionality until patches can be applied

# Example: Restrict access to OpenSTAManager via IP allowlist in Apache
<Location />
    Require ip 10.0.0.0/8
    Require ip 192.168.0.0/16
</Location>