CVE-2026-82039 in UTMStack
Summary
by MITRE • 10/02/2026
UTMStack before 11.2.16 contains a SQL injection vulnerability in UtmAssetGroupService.searchQueryBuilder() that allows authenticated attackers to inject arbitrary SQL by supplying malicious assetType and groupName values that are inserted unsanitized into a native PostgreSQL query via String.format(). Attackers can exploit the GET /api/utm-asset-groups/searchGroupsByFilter endpoint to execute arbitrary SQL with DBA privileges, enabling full database read, data modification, and potential filesystem access.
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Analysis
by VulDB Data Team • 10/02/2026
The vulnerability identified in UTMStack versions prior to 11.2.16 represents a critical security flaw rooted in improper input validation within the application's asset management subsystem. Specifically, the defect resides in the UtmAssetGroupService.searchQueryBuilder() method, which is responsible for constructing database queries based on user-supplied parameters. The core technical issue involves the use of Java String.format to concatenate unsanitized user inputs directly into a native PostgreSQL query string. This approach fails to employ parameterized queries or prepared statements, thereby allowing an attacker to manipulate the structure of the SQL command itself rather than just its data values. When authenticated users provide malicious payloads in the assetType and groupName fields, these strings are inserted directly into the database layer without adequate escaping or type checking, creating a classic injection vector that bypasses standard application-level security controls.
From an operational perspective, this vulnerability is particularly severe because it requires only authentication to exploit, yet grants access equivalent to a Database Administrator (DBA). The attack surface is exposed through the GET /api/utm-asset-groups/searchGroupsByFilter endpoint, which accepts HTTP requests containing the vulnerable parameters. An attacker can craft specific SQL injection payloads that alter the logic of the underlying query. This capability enables full database read operations, allowing for the exfiltration of sensitive configuration data, user credentials, and proprietary information stored within the UTMStack environment. Furthermore, because PostgreSQL supports certain extensions and functions that interact with the operating system, successful exploitation can lead to arbitrary code execution on the host server. This escalation from SQL injection to remote code execution poses a significant risk to the integrity and availability of the entire network infrastructure protected by the UTMStack appliance.
The implications of this flaw extend beyond immediate data theft or service disruption. By leveraging DBA-level privileges, an attacker can modify existing records, delete critical configuration entries, or insert backdoors into the database schema. This level of access facilitates long-term persistence and lateral movement within the network environment. The vulnerability aligns with Common Weakness Enumeration (CWE) ID 89, which classifies Improper Neutralization of Special Elements used in an SQL Command, commonly known as SQL Injection. Additionally, from a tactical standpoint, this exploitation technique corresponds to MITRE ATT&CK techniques such as T1059 Command and Scripting Interpreter for executing system commands via the database engine, and T1213 Data from Information Repositories for exfiltrating data directly from the backend storage systems. The combination of authentication requirement with high-impact consequences underscores the necessity for immediate remediation to prevent unauthorized access and potential compromise of critical security infrastructure components.
Mitigation strategies must prioritize upgrading UTMStack to version 11.2.16 or later, where this specific input validation flaw has been addressed by developers through the implementation of secure coding practices such as parameterized queries. Until an upgrade is feasible, administrators should consider network-level controls to restrict access to the affected API endpoint, ensuring that only trusted internal IP addresses can interact with it. Additionally, implementing a Web Application Firewall (WAF) with rules tuned to detect SQL injection patterns in GET parameters may provide a temporary layer of defense against exploitation attempts. Regular security audits and code reviews focusing on dynamic query construction are essential to prevent similar vulnerabilities from being introduced into the application logic in future updates.