CVE-2026-1021 is an arbitrary file upload vulnerability identified in the Gotac Police Statistics Database System, a software product used for managing police data. The vulnerability is categorized under CWE-434, which involves the unrestricted upload of files with dangerous types. Due to insufficient validation or filtering of uploaded files, an unauthenticated remote attacker can upload malicious files such as web shells. These web shells allow the attacker to execute arbitrary code on the server hosting the application, effectively gaining full control over the system. The vulnerability requires no authentication or user interaction, making it highly exploitable remotely over the network. The CVSS 4.0 base score of 9.3 reflects the critical severity, with attack vector being network (AV:N), low attack complexity (AC:L), no privileges required (PR:N), and no user interaction (UI:N). The impact on confidentiality, integrity, and availability is high, as attackers can access sensitive police data, modify or delete records, and disrupt service availability. Although no public exploits have been reported yet, the vulnerability's nature makes it a prime target for threat actors aiming to compromise law enforcement infrastructure. The affected version is listed as '0', which likely indicates initial or early releases of the product. No official patches have been published at the time of disclosure, increasing the urgency for organizations to implement compensating controls.

For European organizations, particularly law enforcement and government agencies using the Gotac Police Statistics Database System, this vulnerability poses a significant threat. Successful exploitation could lead to unauthorized access to sensitive police data, including crime statistics, investigation details, and personnel information, severely compromising confidentiality. Attackers could alter or delete critical data, undermining data integrity and trustworthiness. The ability to execute arbitrary code also risks full system compromise, potentially disrupting police operations and availability of critical services. Such disruptions could hinder law enforcement effectiveness and public safety. Additionally, compromised systems could be used as pivot points for further attacks within government networks or for espionage purposes. The lack of authentication and user interaction requirements lowers the barrier for exploitation, increasing the likelihood of attacks. European countries with advanced digital policing infrastructure and those prioritizing law enforcement data security are particularly vulnerable. The reputational damage and legal consequences under GDPR for data breaches involving personal data could also be substantial.

1. Immediately restrict file upload functionality to allow only safe, expected file types and implement strict server-side validation to prevent dangerous file types from being accepted. 2. Employ robust input validation and sanitization mechanisms to detect and block malicious payloads embedded in uploaded files. 3. Deploy Web Application Firewalls (WAFs) with custom rules to detect and block attempts to upload web shells or other malicious files. 4. Isolate the file upload directories from executable permissions to prevent execution of uploaded files as code. 5. Monitor server logs and network traffic for unusual upload activity or execution attempts indicative of exploitation. 6. Conduct thorough code reviews and security testing of the file upload components to identify and remediate weaknesses. 7. If possible, apply vendor patches or updates once available; until then, consider disabling file upload features if not essential. 8. Implement network segmentation to limit access to the Police Statistics Database System and reduce lateral movement risk. 9. Educate IT and security staff on this vulnerability and establish incident response plans tailored to potential exploitation scenarios. 10. Regularly back up critical data and verify backup integrity to enable recovery in case of compromise.