CVE-2026-57879 in GV-LPCLPC2011
Summary
by MITRE • 06/26/2026
An unauthenticated stack-based buffer overflow vulnerability exists in ssvr in GeoVision GV-LPC2011 and GV-LPC2211 V1.12 and earlier. The vulnerability is caused by insufficient bounds checking when processing RTSP custom authentication data. A remote attacker may exploit this vulnerability by sending a crafted RTSP request, resulting in memory corruption, denial of service, or potentially arbitrary code execution.
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Analysis
by VulDB Data Team • 06/26/2026
The vulnerability under discussion represents a critical stack-based buffer overflow affecting the ssvr component within GeoVision GV-LPC2011 and GV-LPC2211 surveillance devices running firmware versions 1.12 and earlier. This issue stems from inadequate input validation mechanisms when processing RTSP custom authentication data, creating an exploitable condition that can be leveraged by remote attackers without requiring authentication credentials. The affected devices operate within the security surveillance domain where they handle real-time video streaming and authentication protocols, making them attractive targets for adversaries seeking persistent access to networked security infrastructure.
The technical flaw manifests through insufficient bounds checking during RTSP request processing, specifically when handling custom authentication parameters embedded within the RTSP protocol structure. When a malformed or specially crafted RTSP request is transmitted to the vulnerable device, the application fails to properly validate the length of incoming authentication data before copying it into a fixed-size stack buffer. This classic buffer overflow condition allows an attacker to overwrite adjacent memory locations including return addresses and control data structures, potentially enabling arbitrary code execution through careful manipulation of the stack layout. The vulnerability operates at the application layer where RTSP protocol handling occurs, making it particularly dangerous as it can be triggered through standard network communication channels.
The operational impact of this vulnerability extends beyond simple denial of service scenarios to encompass potential complete system compromise and unauthorized access to security surveillance infrastructure. A remote attacker who successfully exploits this vulnerability could execute arbitrary code on the affected device, potentially gaining full administrative control over the surveillance system. This compromise could lead to unauthorized video data access, modification of security settings, or even use of the compromised device as a pivot point for attacking other systems within the same network segment. The lack of authentication requirements makes this vulnerability particularly dangerous as it can be exploited by anyone with network access to the affected devices, creating a significant risk for organizations relying on these surveillance systems.
Mitigation strategies for this vulnerability should prioritize immediate firmware updates from GeoVision to address the buffer overflow condition through proper input validation and bounds checking mechanisms. Organizations should implement network segmentation and access controls to limit exposure of these devices to untrusted networks while monitoring for suspicious RTSP traffic patterns that might indicate exploitation attempts. Security professionals should consider deploying intrusion detection systems capable of identifying malformed RTSP requests and implementing network-based firewalls to restrict unnecessary RTSP service exposure. The vulnerability aligns with CWE-121 stack-based buffer overflow classification and represents a potential ATT&CK technique involving remote code execution through protocol manipulation, emphasizing the need for comprehensive network security monitoring and device hardening practices.