CVE-2026-64877 in Security Center
Summary
by MITRE • 07/21/2026
An authenticated non-admin user can exploit a SQL injection flaw in the ticketing REST API to access sensitive data stored in the appliance database.
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Analysis
by VulDB Data Team • 07/21/2026
This vulnerability represents a critical security flaw in the appliance's ticketing system where an authenticated user without administrative privileges can leverage a sql injection vulnerability within the rest api to gain unauthorized access to sensitive data stored in the underlying database. The flaw exists in the api endpoint responsible for handling ticketing operations and allows malicious users to manipulate input parameters through crafted sql commands that bypass normal authentication and authorization checks. The vulnerability stems from inadequate input validation and parameterized query implementation, enabling attackers to inject malicious sql code into database queries that process ticket data including user information, ticket details, system logs, and potentially confidential business data. This represents a classic sql injection weakness that falls under the common weakness enumeration category CWE-89, which specifically addresses improper neutralization of special elements used in sql commands.
The operational impact of this vulnerability extends beyond simple data exposure as it creates a pathway for attackers to escalate their privileges and access sensitive information that should only be available to authorized administrative users. Attackers can potentially extract user credentials, personal identification information, ticketing history, system configurations, and other confidential data stored within the appliance database. The vulnerability's exploitation requires only authentication to the system, making it particularly dangerous as it can be leveraged by insiders or compromised regular users to access data they would normally not have permission to view. This weakness enables data exfiltration attacks that can result in significant privacy violations and compliance breaches, especially in environments where regulatory requirements mandate strict data protection measures.
The attack vector typically involves sending specially crafted requests to the ticketing api endpoints with sql injection payloads designed to manipulate database queries through user input fields such as search parameters, filter criteria, or ticket identifiers. The vulnerability's presence in a rest api means that attackers can potentially exploit it through automated tools and scripts, making the exploitation scalable and efficient. Organizations should consider implementing comprehensive input validation mechanisms, parameterized queries, and proper access controls to prevent unauthorized data access. Mitigation strategies include implementing web application firewalls, regular security code reviews, database query auditing, and ensuring that all api endpoints properly sanitize user inputs to prevent sql injection attacks.
From a threat modeling perspective, this vulnerability aligns with attack techniques described in the mitre att&ck framework under the credential access and defense evasion domains, where adversaries attempt to extract sensitive information through exploitation of application vulnerabilities. The weakness creates opportunities for attackers to move laterally within systems and establish persistent access patterns while maintaining stealthy data extraction capabilities. Organizations should conduct thorough penetration testing and vulnerability assessments focusing on api security controls to identify similar weaknesses in their applications. Regular updates to security patches, implementation of least privilege principles, and continuous monitoring of database access logs remain essential defensive measures to prevent exploitation of such vulnerabilities and maintain overall system integrity.
The vulnerability demonstrates the critical importance of proper input validation and secure coding practices in api development, particularly when handling sensitive data operations. It highlights how seemingly minor flaws in application logic can create substantial security risks that compromise entire systems and data repositories. Organizations must prioritize security in their development lifecycle through secure coding training, automated code analysis tools, and regular vulnerability assessments to prevent exploitation of similar weaknesses in their applications.