CVE-2025-47818 identifies a security vulnerability in Flock Safety Gunshot Detection devices, specifically versions prior to 1.3. The vulnerability is classified under CWE-259, which pertains to the use of hard-coded passwords within software or hardware products. In this case, the devices contain a hard-coded password used for establishing a connection, which cannot be changed by the user or administrator. This design flaw introduces a significant security risk because if an attacker discovers or obtains the hard-coded password, they can potentially gain unauthorized access to the device or its communication channels. The vulnerability has a CVSS 3.1 base score of 2.2, indicating a low severity level. The vector string (CVSS:3.1/AV:P/AC:H/PR:N/UI:N/S:C/C:L/I:N/A:N) reveals that the attack requires physical access (AV:P), has high attack complexity (AC:H), does not require privileges or user interaction, and impacts confidentiality with a low impact, while integrity and availability remain unaffected. The scope is changed (S:C), meaning the vulnerability affects resources beyond the initially vulnerable component. Although no known exploits are currently reported in the wild, the presence of a hard-coded password is a recognized security anti-pattern that can be leveraged in targeted attacks or insider threats. Given the nature of the device—gunshot detection systems used in public safety and law enforcement contexts—compromise could lead to unauthorized data access or manipulation of sensor data, potentially undermining public safety operations. The lack of a patch or update at the time of publication further emphasizes the need for immediate attention to this vulnerability.

For European organizations, especially those involved in public safety, law enforcement, or urban security infrastructure, this vulnerability poses a risk to the confidentiality of sensor data collected by gunshot detection devices. Unauthorized access could allow attackers to intercept sensitive information or disrupt the integrity of incident reporting, although the CVSS indicates no direct impact on integrity or availability. However, the compromised confidentiality could lead to privacy violations or intelligence gathering by malicious actors. Additionally, if attackers gain control over the devices, they might disable or manipulate alerts, potentially delaying emergency responses. This risk is particularly critical in densely populated urban areas where such devices are deployed to enhance public safety. The requirement for physical access limits remote exploitation but raises concerns about insider threats or attackers with physical proximity. European organizations must consider the implications for compliance with data protection regulations such as GDPR, as unauthorized access to sensor data could constitute a data breach. The low CVSS score may understate the operational impact in sensitive environments where trustworthiness of security devices is paramount.

To mitigate this vulnerability, European organizations should prioritize upgrading Flock Safety Gunshot Detection devices to version 1.3 or later, where the hard-coded password issue is presumably resolved. Until patches are available, physical security controls must be strengthened to prevent unauthorized access to the devices, including secure enclosures, surveillance, and restricted access policies. Network segmentation should be implemented to isolate these devices from critical infrastructure and limit lateral movement in case of compromise. Organizations should conduct regular audits and penetration tests focusing on device access controls. If possible, replace devices with alternatives that do not use hard-coded credentials or support secure authentication mechanisms. Additionally, monitoring and alerting for anomalous access attempts or configuration changes on these devices can provide early detection of exploitation attempts. Finally, organizations should engage with the vendor to obtain timelines for patches and request guidance on interim security measures.