CVE-2026-4593: SQL Injection Hibernate in erupts erupt
CVE-2026-4593 is a medium severity SQL injection vulnerability affecting the EruptDataQuery function in the erupt framework versions 1. 13. 0 through 1. 13. 3. The flaw resides in the erupt-ai component's MCP Tool Interface, allowing remote attackers to manipulate SQL queries via Hibernate, potentially compromising data confidentiality, integrity, and availability. Exploitation does not require user interaction but does require low-level privileges. Although an exploit has been published, no known widespread exploitation has been reported. The vendor has not responded to disclosure attempts, and no patches are currently available. Organizations using affected versions should prioritize code review and implement strict input validation and query parameterization to mitigate risk.
AI Analysis
Technical Summary
CVE-2026-4593 is a SQL injection vulnerability identified in the erupt framework, specifically in the EruptDataQuery function within the erupt-ai module's MCP Tool Interface. The vulnerability affects versions 1.13.0 through 1.13.3. The root cause is improper handling of user input in the construction of Hibernate queries, which allows an attacker to inject malicious SQL code remotely. This injection can lead to unauthorized data access, modification, or deletion, impacting the confidentiality, integrity, and availability of the underlying database. The vulnerability requires low-level privileges but no user interaction, making it remotely exploitable over the network. The vendor was notified early but has not issued any patches or advisories. Although an exploit is publicly available, there are no confirmed reports of active exploitation in the wild. The CVSS 4.0 base score of 5.3 reflects the medium severity, considering the attack vector is network-based with low complexity and no authentication required, but with limited impact on system-wide security. The lack of vendor response and patch availability increases the risk for organizations relying on this framework. The vulnerability highlights the importance of secure coding practices around ORM frameworks like Hibernate, especially input sanitization and use of parameterized queries.
Potential Impact
The SQL injection vulnerability in erupt can lead to unauthorized access to sensitive data, data corruption, or deletion within affected applications. This compromises data confidentiality and integrity, potentially exposing private or proprietary information. Availability may also be impacted if injected queries cause database errors or crashes. Since the flaw is remotely exploitable without user interaction, attackers can automate exploitation to target multiple systems rapidly. Organizations using erupt in critical applications risk data breaches, regulatory non-compliance, and operational disruptions. The absence of vendor patches prolongs exposure, increasing the window for attackers to develop and deploy exploits. The medium severity rating indicates a moderate but tangible threat, especially for environments with sensitive data or high availability requirements. The vulnerability could also serve as a foothold for further attacks within compromised networks.
Mitigation Recommendations
Given the lack of official patches, organizations should immediately audit all uses of the EruptDataQuery function and related database interactions for unsafe query construction. Developers must implement strict input validation and sanitization to prevent injection of malicious SQL code. Refactoring code to use parameterized queries or prepared statements with Hibernate is critical to eliminate injection vectors. Network-level controls such as firewall rules and intrusion detection systems should be configured to monitor and block suspicious traffic targeting the affected endpoints. Restricting database user privileges to the minimum necessary can limit the impact of a successful injection. Organizations should also consider deploying Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts. Monitoring logs for unusual query patterns or errors can provide early detection of exploitation attempts. Finally, organizations should engage with the vendor or community to track patch releases and apply updates promptly once available.
Affected Countries
United States, Germany, China, India, United Kingdom, France, Japan, South Korea, Canada, Australia
CVE-2026-4593: SQL Injection Hibernate in erupts erupt
Description
CVE-2026-4593 is a medium severity SQL injection vulnerability affecting the EruptDataQuery function in the erupt framework versions 1. 13. 0 through 1. 13. 3. The flaw resides in the erupt-ai component's MCP Tool Interface, allowing remote attackers to manipulate SQL queries via Hibernate, potentially compromising data confidentiality, integrity, and availability. Exploitation does not require user interaction but does require low-level privileges. Although an exploit has been published, no known widespread exploitation has been reported. The vendor has not responded to disclosure attempts, and no patches are currently available. Organizations using affected versions should prioritize code review and implement strict input validation and query parameterization to mitigate risk.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-4593 is a SQL injection vulnerability identified in the erupt framework, specifically in the EruptDataQuery function within the erupt-ai module's MCP Tool Interface. The vulnerability affects versions 1.13.0 through 1.13.3. The root cause is improper handling of user input in the construction of Hibernate queries, which allows an attacker to inject malicious SQL code remotely. This injection can lead to unauthorized data access, modification, or deletion, impacting the confidentiality, integrity, and availability of the underlying database. The vulnerability requires low-level privileges but no user interaction, making it remotely exploitable over the network. The vendor was notified early but has not issued any patches or advisories. Although an exploit is publicly available, there are no confirmed reports of active exploitation in the wild. The CVSS 4.0 base score of 5.3 reflects the medium severity, considering the attack vector is network-based with low complexity and no authentication required, but with limited impact on system-wide security. The lack of vendor response and patch availability increases the risk for organizations relying on this framework. The vulnerability highlights the importance of secure coding practices around ORM frameworks like Hibernate, especially input sanitization and use of parameterized queries.
Potential Impact
The SQL injection vulnerability in erupt can lead to unauthorized access to sensitive data, data corruption, or deletion within affected applications. This compromises data confidentiality and integrity, potentially exposing private or proprietary information. Availability may also be impacted if injected queries cause database errors or crashes. Since the flaw is remotely exploitable without user interaction, attackers can automate exploitation to target multiple systems rapidly. Organizations using erupt in critical applications risk data breaches, regulatory non-compliance, and operational disruptions. The absence of vendor patches prolongs exposure, increasing the window for attackers to develop and deploy exploits. The medium severity rating indicates a moderate but tangible threat, especially for environments with sensitive data or high availability requirements. The vulnerability could also serve as a foothold for further attacks within compromised networks.
Mitigation Recommendations
Given the lack of official patches, organizations should immediately audit all uses of the EruptDataQuery function and related database interactions for unsafe query construction. Developers must implement strict input validation and sanitization to prevent injection of malicious SQL code. Refactoring code to use parameterized queries or prepared statements with Hibernate is critical to eliminate injection vectors. Network-level controls such as firewall rules and intrusion detection systems should be configured to monitor and block suspicious traffic targeting the affected endpoints. Restricting database user privileges to the minimum necessary can limit the impact of a successful injection. Organizations should also consider deploying Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts. Monitoring logs for unusual query patterns or errors can provide early detection of exploitation attempts. Finally, organizations should engage with the vendor or community to track patch releases and apply updates promptly once available.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-03-22T11:59:29.171Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 69c1754df4197a8e3b789141
Added to database: 3/23/2026, 5:15:57 PM
Last enriched: 3/23/2026, 5:30:53 PM
Last updated: 3/23/2026, 6:17:16 PM
Views: 6
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