CVE-2025-47818 is a security vulnerability identified in Flock Safety Gunshot Detection devices prior to version 1.3. The core issue is the presence of a hard-coded password embedded within the device's firmware or software, which is used to establish connections. This vulnerability is classified under CWE-259, indicating the use of hard-coded passwords, a known security anti-pattern that can lead to unauthorized access. The hard-coded password cannot be changed by the user, making it a persistent security weakness. An attacker with network access to the device could potentially leverage this password to connect to the device, potentially gaining limited access or information. However, the CVSS v3.1 base score is 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 vector requires physical or local network access (AV:P), has high attack complexity (AC:H), requires no privileges (PR:N), and no user interaction (UI:N). The scope is changed (S:C), and the impact is limited to confidentiality (C:L) with no impact on integrity (I:N) or availability (A:N). There are no known exploits in the wild at this time, and no patches have been linked yet. The vulnerability primarily risks confidentiality by potentially exposing sensitive information or device configuration details through unauthorized connection. Given the device's role in gunshot detection, unauthorized access could undermine trust in the system or allow attackers to gather intelligence about surveillance capabilities, but it does not directly enable device control or denial of service.

For European organizations, especially law enforcement agencies, municipalities, or private security firms deploying Flock Safety Gunshot Detection devices, this vulnerability poses a confidentiality risk. Unauthorized access via the hard-coded password could allow attackers to intercept or gather sensitive data related to gunshot detection events or device configurations. While the impact on device functionality or data integrity is minimal, exposure of such information could compromise operational security or privacy. The low CVSS score and high attack complexity suggest that exploitation requires physical proximity or local network access, limiting remote attack feasibility. However, in urban or high-risk areas where these devices are deployed, attackers with local access could exploit this vulnerability to surveil or evade detection. The lack of known exploits reduces immediate risk, but the persistence of a hard-coded password means the vulnerability remains exploitable until patched. European organizations must consider the potential for targeted attacks or insider threats leveraging this weakness, especially in sensitive security environments.

To mitigate this vulnerability, European organizations should prioritize upgrading Flock Safety Gunshot Detection devices to version 1.3 or later once available, as this likely addresses the hard-coded password issue. Until patches are released, organizations should implement strict network segmentation and access controls to limit local network access to these devices, ensuring only authorized personnel can connect. Physical security measures should be enhanced to prevent unauthorized physical access to the devices or their network segments. Monitoring network traffic for unusual connection attempts or unauthorized access can help detect exploitation attempts. Additionally, organizations should liaise with Flock Safety for any interim firmware updates or configuration guidance. Where possible, deploying additional authentication layers or VPNs to access device management interfaces can reduce exposure. Finally, conducting regular security audits and penetration tests focusing on these devices will help identify and remediate any exploitation attempts promptly.