CVE-2026-24417: CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in devcode-it openstamanager
OpenSTAManager is an open source management software for technical assistance and invoicing. OpenSTAManager v2.9.8 and earlier contain a critical Time-Based Blind SQL Injection vulnerability in the global search functionality. The application fails to properly sanitize the term parameter before using it in SQL LIKE clauses across multiple module-specific search handlers, allowing attackers to inject arbitrary SQL commands and extract sensitive data through time-based Boolean inference.
AI Analysis
Technical Summary
OpenSTAManager, an open source management software used for technical assistance and invoicing, suffers from a critical SQL Injection vulnerability identified as CVE-2026-24417. The flaw exists in versions 2.9.8 and earlier within the global search functionality, specifically in how the 'term' parameter is handled in SQL LIKE clauses across multiple module-specific search handlers. The application fails to properly sanitize this input, allowing attackers to inject arbitrary SQL commands. This vulnerability is exploited via time-based blind SQL injection, where attackers infer database content by measuring response delays caused by injected SQL conditions. The attack vector is remote network access without requiring authentication or user interaction, increasing the risk of exploitation. The vulnerability affects confidentiality by enabling unauthorized data extraction, integrity by allowing potential data manipulation, and availability through possible denial-of-service conditions triggered by malicious queries. The CVSS 4.0 score of 8.7 (high severity) reflects the ease of exploitation and significant impact. No patches or known exploits are currently reported, but the vulnerability demands urgent attention due to its critical nature and the sensitive data typically managed by OpenSTAManager.
Potential Impact
For European organizations, the impact of CVE-2026-24417 is substantial. OpenSTAManager is used primarily by small and medium enterprises (SMEs) for managing technical assistance and invoicing, meaning that exploitation could lead to unauthorized disclosure of sensitive customer and financial data, undermining confidentiality and potentially violating GDPR requirements. Data integrity could be compromised if attackers modify records, leading to billing errors or operational disruptions. Availability could also be affected if attackers leverage the vulnerability to cause database lockups or crashes. The lack of authentication requirement for exploitation increases the attack surface, making remote exploitation feasible by external threat actors. This could result in reputational damage, financial losses, and regulatory penalties for affected organizations. The vulnerability also poses risks to supply chain security if OpenSTAManager is integrated with other business systems.
Mitigation Recommendations
Immediate mitigation steps include monitoring for unusual query patterns and implementing web application firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting the 'term' parameter. Organizations should conduct a thorough code review of the global search functionality and apply strict input validation and parameterized queries or prepared statements to eliminate injection vectors. Until an official patch is released by devcode-it, restricting access to the OpenSTAManager application to trusted networks or VPNs can reduce exposure. Logging and alerting on slow query responses or anomalous database behavior can help detect exploitation attempts. Regular backups and incident response plans should be updated to prepare for potential data breaches. Organizations should also engage with the vendor for timely patch releases and apply updates promptly once available.
Affected Countries
Germany, France, Italy, Spain, United Kingdom, Netherlands, Belgium, Poland, Sweden
CVE-2026-24417: CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in devcode-it openstamanager
Description
OpenSTAManager is an open source management software for technical assistance and invoicing. OpenSTAManager v2.9.8 and earlier contain a critical Time-Based Blind SQL Injection vulnerability in the global search functionality. The application fails to properly sanitize the term parameter before using it in SQL LIKE clauses across multiple module-specific search handlers, allowing attackers to inject arbitrary SQL commands and extract sensitive data through time-based Boolean inference.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
OpenSTAManager, an open source management software used for technical assistance and invoicing, suffers from a critical SQL Injection vulnerability identified as CVE-2026-24417. The flaw exists in versions 2.9.8 and earlier within the global search functionality, specifically in how the 'term' parameter is handled in SQL LIKE clauses across multiple module-specific search handlers. The application fails to properly sanitize this input, allowing attackers to inject arbitrary SQL commands. This vulnerability is exploited via time-based blind SQL injection, where attackers infer database content by measuring response delays caused by injected SQL conditions. The attack vector is remote network access without requiring authentication or user interaction, increasing the risk of exploitation. The vulnerability affects confidentiality by enabling unauthorized data extraction, integrity by allowing potential data manipulation, and availability through possible denial-of-service conditions triggered by malicious queries. The CVSS 4.0 score of 8.7 (high severity) reflects the ease of exploitation and significant impact. No patches or known exploits are currently reported, but the vulnerability demands urgent attention due to its critical nature and the sensitive data typically managed by OpenSTAManager.
Potential Impact
For European organizations, the impact of CVE-2026-24417 is substantial. OpenSTAManager is used primarily by small and medium enterprises (SMEs) for managing technical assistance and invoicing, meaning that exploitation could lead to unauthorized disclosure of sensitive customer and financial data, undermining confidentiality and potentially violating GDPR requirements. Data integrity could be compromised if attackers modify records, leading to billing errors or operational disruptions. Availability could also be affected if attackers leverage the vulnerability to cause database lockups or crashes. The lack of authentication requirement for exploitation increases the attack surface, making remote exploitation feasible by external threat actors. This could result in reputational damage, financial losses, and regulatory penalties for affected organizations. The vulnerability also poses risks to supply chain security if OpenSTAManager is integrated with other business systems.
Mitigation Recommendations
Immediate mitigation steps include monitoring for unusual query patterns and implementing web application firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting the 'term' parameter. Organizations should conduct a thorough code review of the global search functionality and apply strict input validation and parameterized queries or prepared statements to eliminate injection vectors. Until an official patch is released by devcode-it, restricting access to the OpenSTAManager application to trusted networks or VPNs can reduce exposure. Logging and alerting on slow query responses or anomalous database behavior can help detect exploitation attempts. Regular backups and incident response plans should be updated to prepare for potential data breaches. Organizations should also engage with the vendor for timely patch releases and apply updates promptly once available.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-01-22T18:19:49.175Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 69863332f9fa50a62f2637aa
Added to database: 2/6/2026, 6:30:10 PM
Last enriched: 2/6/2026, 6:44:50 PM
Last updated: 3/21/2026, 6:18:15 PM
Views: 54
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