CVE-2025-6932 in DCS-7517
Summary
by MITRE • 07/01/2025
A vulnerability, which was classified as problematic, was found in D-Link DCS-7517 up to 2.02.0. This affects the function g_F_n_GenPassForQlync of the file /bin/httpd of the component Qlync Password Generation Handler. The manipulation leads to use of hard-coded password. It is possible to initiate the attack remotely. The complexity of an attack is rather high. The exploitability is told to be difficult. The exploit has been disclosed to the public and may be used. This vulnerability only affects products that are no longer supported by the maintainer.
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Analysis
by VulDB Data Team • 07/03/2025
The vulnerability identified as CVE-2025-6932 represents a critical security flaw in D-Link DCS-7517 network cameras running firmware versions up to 2.02.0. This issue resides within the Qlync Password Generation Handler component, specifically in the g_F_n_GenPassForQlync function located in the /bin/httpd binary file. The vulnerability stems from the implementation of hard-coded passwords within the system's authentication mechanism, creating a fundamental weakness that undermines the device's security posture. The affected component is part of the broader web server functionality that handles unified communications protocols, making it a critical attack vector for unauthorized access to network surveillance equipment.
The technical nature of this vulnerability manifests through the use of hard-coded credentials within the password generation logic, which violates fundamental security principles outlined in CWE-798. This flaw allows attackers to bypass normal authentication procedures by leveraging pre-defined passwords that remain unchanged across deployments. The exploitation requires remote access capabilities, enabling attackers to initiate the attack from external networks without requiring physical presence or local system access. The high attack complexity and difficult exploitability suggest that while the vulnerability exists, successful exploitation requires specialized knowledge and potentially multiple attack vectors to overcome additional security controls that may be in place.
The operational impact of CVE-2025-6932 extends beyond simple unauthorized access, as compromised network cameras can serve as entry points for broader network infiltration activities. The vulnerability's exploitation could enable attackers to gain persistent access to surveillance systems, potentially leading to data exfiltration, privacy violations, and network reconnaissance. This risk is compounded by the fact that the affected devices are no longer supported by the vendor, meaning no official patches or security updates are available to remediate the flaw. The public disclosure of exploit information further increases the threat landscape, as malicious actors can readily implement attack strategies against vulnerable deployments. The attack surface is particularly concerning given that network cameras often operate in environments where they are not regularly monitored or updated, creating extended periods of vulnerability exposure. Organizations should consider implementing network segmentation, monitoring for unusual authentication patterns, and potentially replacing affected devices with supported models to mitigate this risk. The vulnerability also highlights the importance of proper credential management and the dangers of embedded hard-coded secrets in networked devices, aligning with ATT&CK technique T1566 for initial access through credential compromise and T1071 for application layer protocol usage.