CVE-2025-69986 Overview
A buffer overflow vulnerability exists in the ONVIF GetStreamUri function of LSC Indoor Camera V7.6.32. The application fails to validate the length of the Protocol parameter inside the Transport element. By sending a specially crafted SOAP request containing an oversized protocol string, an attacker can overflow the stack buffer, overwriting the return instruction pointer (RIP). This vulnerability allows for Denial of Service (DoS) via device crash or Remote Code Execution (RCE) in the context of the ONVIF service.
Critical Impact
Network-accessible buffer overflow enabling stack-based memory corruption with potential for remote code execution or device crash on IoT camera devices.
Affected Products
- LSC Indoor Camera V7.6.32
- Devices implementing the vulnerable ONVIF GetStreamUri function
- IoT cameras with unpatched ONVIF service implementations
Discovery Timeline
- 2026-03-27 - CVE-2025-69986 published to NVD
- 2026-03-30 - Last updated in NVD database
Technical Details for CVE-2025-69986
Vulnerability Analysis
This vulnerability stems from improper input validation (CWE-20) in the ONVIF service's GetStreamUri function. The ONVIF protocol is widely used for IP camera communication, making this a significant concern for IoT security. The vulnerable code path processes SOAP requests without adequately validating the length of the Protocol parameter within the Transport XML element.
When processing a GetStreamUri request, the application copies the Protocol parameter value into a fixed-size stack buffer. Since no bounds checking is performed on the input length, an attacker can supply an oversized string that exceeds the buffer capacity. This overflow corrupts adjacent stack memory, including the saved return instruction pointer (RIP), giving attackers control over program execution flow.
The network-accessible nature of this vulnerability is particularly concerning as ONVIF services are typically exposed on local networks and potentially to the internet. Exploitation requires high privileges but no user interaction, and successful attacks can lead to complete device compromise.
Root Cause
The root cause is improper input validation in the ONVIF service implementation. The application fails to validate or sanitize the length of the Protocol parameter inside the Transport element before copying it to a stack-allocated buffer. This missing boundary check allows attackers to write beyond the allocated buffer space, corrupting critical stack data structures including the return address.
Attack Vector
The attack vector is network-based, exploiting the ONVIF SOAP interface exposed by the camera. An attacker can craft a malicious SOAP request to the GetStreamUri endpoint with an oversized Protocol parameter. The crafted payload overflows the stack buffer and overwrites the return instruction pointer (RIP), which can redirect execution to attacker-controlled code or cause a crash leading to denial of service.
The vulnerability is exploited through SOAP requests to the ONVIF service. An attacker constructs a request containing a Protocol parameter that exceeds the expected buffer size, causing stack memory corruption. The oversized string overwrites stack data including the saved return address, potentially allowing arbitrary code execution. For detailed technical analysis, refer to the GitHub Security Research on CVE-2025-69986.
Detection Methods for CVE-2025-69986
Indicators of Compromise
- Unusual or oversized SOAP requests to ONVIF endpoints, particularly GetStreamUri
- Camera device crashes or unexpected reboots without administrative action
- Network traffic containing abnormally long Protocol parameters in ONVIF Transport elements
- Memory corruption artifacts or core dumps on affected devices
Detection Strategies
- Monitor ONVIF service traffic for SOAP requests with unusually large parameter values
- Implement network intrusion detection rules to flag GetStreamUri requests exceeding normal payload sizes
- Deploy endpoint protection capable of detecting buffer overflow exploitation attempts
- Analyze network logs for repeated connection attempts to ONVIF service ports following device crashes
Monitoring Recommendations
- Configure network monitoring to alert on anomalous ONVIF traffic patterns
- Implement logging for all ONVIF service requests where possible
- Monitor device availability and track unexpected reboots or service interruptions
- Establish baseline SOAP request sizes for ONVIF endpoints and alert on deviations
How to Mitigate CVE-2025-69986
Immediate Actions Required
- Restrict network access to ONVIF services using firewall rules or network segmentation
- Disable ONVIF services if not required for operations
- Isolate affected LSC Indoor Camera devices from untrusted networks
- Monitor for vendor firmware updates that address this vulnerability
Patch Information
No official vendor patch information is currently available. Organizations should monitor the manufacturer's security advisories for firmware updates. Additional technical details are available in the GitHub Security Research on CVE-2025-69986.
Workarounds
- Segment IoT camera devices onto isolated VLANs with restricted access
- Implement network-level access controls to limit ONVIF service exposure to trusted management hosts only
- Disable ONVIF functionality if it is not required for camera operations
- Deploy intrusion prevention systems configured to detect and block buffer overflow exploitation attempts
# Example: Restrict ONVIF service access using iptables
# Allow only trusted management subnet to access ONVIF ports
iptables -A INPUT -p tcp --dport 80 -s 192.168.10.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 8080 -s 192.168.10.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 80 -j DROP
iptables -A INPUT -p tcp --dport 8080 -j DROP
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
