CVE-2026-1019 in Police Statistics Database System
Summary
by MITRE • 01/16/2026
Police Statistics Database System developed by Gotac has a Missing Authentication vulnerability, allowing unauthenticated remote attackers to read, modify, and delete database contents by using a specific functionality.
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Analysis
by VulDB Data Team • 01/16/2026
The Police Statistics Database System developed by Gotac presents a critical security vulnerability classified as CVE-2026-1019, which stems from a fundamental missing authentication mechanism within its architecture. This vulnerability creates a severe access control flaw that permits any remote attacker to bypass authentication requirements and gain unrestricted access to sensitive database operations. The system's failure to implement proper authentication checks means that unauthorized parties can directly exploit specific database functionality without requiring valid credentials or authorization tokens. This represents a classic violation of the principle of least privilege and demonstrates a critical gap in the system's security design that directly contravenes established cybersecurity frameworks.
The technical implementation of this vulnerability manifests through the absence of authentication validation within the database interaction pathways. Attackers can leverage this flaw to execute read operations against sensitive police statistics data, modify existing records to alter reporting metrics, and delete database entries to disrupt data integrity and availability. The vulnerability's impact extends beyond simple unauthorized access as it provides complete administrative control over the database contents, enabling attackers to manipulate crime statistics, alter personnel records, and compromise the integrity of law enforcement data repositories. This type of vulnerability aligns with CWE-306, which specifically addresses missing authentication in security-critical functions, and represents a significant deviation from secure coding practices.
The operational consequences of this vulnerability are particularly severe given the sensitive nature of police statistics data and the critical infrastructure role such systems play within law enforcement organizations. Unauthenticated access to these databases could enable attackers to manipulate crime reporting data, potentially affecting public safety decisions, resource allocation, and legal proceedings. The ability to delete database contents creates additional risk of data loss and system availability issues that could disrupt police operations and investigative processes. This vulnerability also presents a significant risk to data integrity and audit trails, as attackers could modify records without detection, undermining the trustworthiness of law enforcement reporting systems.
Mitigation strategies for this vulnerability must address the fundamental authentication failure by implementing robust access control mechanisms throughout the system architecture. Organizations should deploy multi-factor authentication protocols, establish proper session management controls, and implement role-based access controls to ensure only authorized personnel can access sensitive database functions. The system should be configured with explicit authentication requirements for all database interaction points, and all access attempts should be logged and monitored for suspicious activity. Security controls should align with NIST cybersecurity frameworks and incorporate regular authentication audits to prevent similar vulnerabilities from emerging in future system updates or modifications. Additionally, implementing network segmentation and database firewalls can provide additional layers of protection against unauthorized access attempts.