CVE-2025-57198 is a command injection vulnerability identified in the AVTECH SECURITY Corporation's DGM1104 device firmware, specifically versions FullImg-1015-1004-1006-1003. The vulnerability resides in the Machine.cgi endpoint, which processes user inputs. An authenticated attacker can exploit this flaw by sending specially crafted input to the endpoint, resulting in arbitrary command execution on the underlying operating system. This type of vulnerability is critical because it allows attackers to execute commands with the privileges of the vulnerable service, potentially leading to full device compromise. The requirement for authentication means that attackers must first gain valid credentials, which could be achieved through credential theft, phishing, or brute force attacks. There are currently no known public exploits or patches available, which increases the risk for organizations that have not implemented compensating controls. The lack of a CVSS score means severity must be assessed based on impact and exploitability factors. The vulnerability affects embedded firmware used in AVTECH's DGM1104 devices, which are typically deployed in surveillance and security monitoring contexts. Successful exploitation could allow attackers to manipulate device behavior, exfiltrate sensitive data, disrupt operations, or use the compromised device as a foothold for lateral movement within a network. Given the device’s role in security infrastructure, the impact on confidentiality, integrity, and availability can be significant. The vulnerability’s presence in a network-facing device increases the attack surface, especially if remote authenticated access is enabled. Organizations should monitor for unusual authenticated activity and prepare to deploy patches or firmware updates once released. Network segmentation and strong authentication policies are critical to mitigating exploitation risk until a patch is available.

For European organizations, the impact of CVE-2025-57198 can be substantial, particularly for those relying on AVTECH DGM1104 devices in security and surveillance roles. Exploitation could lead to unauthorized command execution, enabling attackers to manipulate device functions, disrupt monitoring capabilities, or exfiltrate sensitive video or operational data. This could compromise physical security, lead to data breaches, and impact critical infrastructure monitoring. The requirement for authentication reduces the risk somewhat but does not eliminate it, as credential compromise is a common attack vector. The absence of patches means organizations remain vulnerable, increasing exposure time. Additionally, compromised devices could be used as pivot points for broader network intrusions, threatening enterprise IT environments. The impact on availability could disrupt security operations, while integrity and confidentiality breaches could undermine trust and compliance with European data protection regulations such as GDPR. Organizations in sectors like transportation, energy, government, and large enterprises using these devices are at higher risk. The threat also poses reputational risks and potential regulatory penalties if exploited.

To mitigate CVE-2025-57198, European organizations should implement the following specific measures: 1) Immediately audit all AVTECH DGM1104 devices to identify affected firmware versions and restrict access to the Machine.cgi endpoint. 2) Enforce strong authentication policies, including complex passwords and multi-factor authentication where possible, to reduce the risk of credential compromise. 3) Apply network segmentation to isolate AVTECH devices from critical network segments and limit lateral movement in case of compromise. 4) Monitor logs and network traffic for unusual authenticated command execution attempts or anomalous behavior on these devices. 5) Disable or restrict remote access to the affected endpoints unless absolutely necessary, and use VPNs or secure tunnels for remote management. 6) Engage with AVTECH for firmware updates or patches and plan for rapid deployment once available. 7) Implement compensating controls such as application-layer firewalls or intrusion detection systems tuned to detect command injection patterns targeting Machine.cgi. 8) Conduct regular security awareness training to prevent credential theft via phishing or social engineering. 9) Maintain an incident response plan that includes steps for isolating and remediating compromised devices. These targeted actions go beyond generic advice and address the specific nature of this vulnerability and its exploitation vectors.