CVE-2015-2884 in In.Sight B120-37
Summary
by MITRE
Philips In.Sight B120/37 allows remote attackers to obtain sensitive information via a direct request, related to yoics.net URLs, stream.m3u8 URIs, and cam_service_enable.cgi.
Be aware that VulDB is the high quality source for vulnerability data.
Analysis
by VulDB Data Team • 08/27/2020
The vulnerability identified as CVE-2015-2884 affects Philips In.Sight B120/37 video surveillance devices, representing a critical information disclosure flaw that enables remote attackers to access sensitive system data through unauthenticated direct requests. This vulnerability stems from improper access controls within the device's web interface implementation, specifically targeting components that handle media streaming and camera service configurations. The affected device exposes several URI endpoints including yoics.net URLs, stream.m3u8 URIs, and cam_service_enable.cgi that lack adequate authentication mechanisms, allowing attackers to retrieve confidential information without requiring valid credentials or privileges.
The technical exploitation of this vulnerability involves sending direct HTTP requests to specific endpoints within the device's web server, leveraging the absence of proper authorization checks. Attackers can access stream.m3u8 URIs to obtain media stream configurations and potentially capture live video feeds, while the yoics.net URLs may reveal device identification details, network configurations, or other sensitive metadata. The cam_service_enable.cgi endpoint likely provides access to camera service parameters and configuration settings that should remain protected. This type of vulnerability falls under CWE-200, which addresses "Information Exposure," and represents a classic example of insufficient access control mechanisms that allow unauthorized data retrieval. The flaw demonstrates poor input validation and access control implementation, where the device fails to properly authenticate requests before serving sensitive content.
The operational impact of this vulnerability extends beyond simple information disclosure, as it can enable attackers to gain comprehensive knowledge about the surveillance system's configuration and operational parameters. Remote attackers can potentially map the network topology, identify connected devices, and understand the system architecture without requiring physical access or legitimate credentials. This information can then be leveraged for further attacks, including privilege escalation attempts, network reconnaissance, or targeted exploitation of other vulnerabilities within the surveillance infrastructure. The exposure of stream.m3u8 URIs particularly poses significant privacy risks as it allows unauthorized access to live video feeds and recorded media content, potentially compromising the security of monitored locations and the privacy of individuals within the surveillance zone. According to ATT&CK framework, this vulnerability maps to T1046 Network Service Scanning and T1083 File and Directory Discovery, as attackers can systematically enumerate available services and access sensitive files through the exposed endpoints.
Mitigation strategies for this vulnerability should include immediate firmware updates from Philips to address the access control deficiencies, network segmentation to isolate the surveillance devices from critical network segments, and implementation of proper access controls through firewalls or network access control lists that restrict access to these endpoints. Network administrators should also consider disabling unnecessary services and ports, implementing strong authentication mechanisms for legitimate access, and conducting regular security assessments to identify similar vulnerabilities in other networked devices. The device should be configured to require authentication for all endpoints, particularly those handling media streams and service configurations, with proper logging implemented to detect unauthorized access attempts. Additionally, organizations should establish monitoring procedures to detect unusual patterns of access to streaming endpoints and implement network-based intrusion detection systems to identify exploitation attempts targeting these specific vulnerabilities.