CVE-2025-23116
CVE-2025-23116
Weakness (CWE)
CVSS Vector
v3.0- Attack Vector
- Adjacent
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Changed
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
An Authentication Bypass vulnerability on UniFi Protect Application with Auto-Adopt Bridge Devices enabled could allow a malicious actor with access to UniFi Protect Cameras adjacent network to take control of UniFi Protect Cameras.
Comprehensive Technical Analysis of CVE-2025-23116
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2025-23116 Description: An Authentication Bypass vulnerability in the UniFi Protect Application with Auto-Adopt Bridge Devices enabled could allow a malicious actor with access to the adjacent network to take control of UniFi Protect Cameras. CVSS Score: 9.6
Severity Evaluation: The CVSS score of 9.6 indicates a critical vulnerability. This high score is due to the potential for complete control of UniFi Protect Cameras, which can lead to significant security breaches, including unauthorized surveillance, data exfiltration, and potential physical security risks.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Network Access: The attacker must have access to the adjacent network where the UniFi Protect Cameras are deployed.
- Auto-Adopt Feature: The vulnerability is exploited through the Auto-Adopt Bridge Devices feature, which is designed to simplify the adoption of new devices but can be misused to bypass authentication.
Exploitation Methods:
- Network Scanning: The attacker scans the network to identify UniFi Protect Cameras.
- Authentication Bypass: The attacker exploits the vulnerability to bypass the authentication mechanism, gaining control over the cameras.
- Command Injection: Once authenticated, the attacker can inject commands to manipulate the cameras, including changing settings, accessing video feeds, and potentially disabling the cameras.
3. Affected Systems and Software Versions
Affected Systems:
- UniFi Protect Application
- UniFi Protect Cameras
Software Versions:
- Specific versions affected are not mentioned in the provided information. However, it is crucial to identify the exact versions impacted by this vulnerability through further analysis or vendor communication.
4. Recommended Mitigation Strategies
Immediate Actions:
- Disable Auto-Adopt Feature: Immediately disable the Auto-Adopt Bridge Devices feature until a patch is available.
- Network Segmentation: Implement network segmentation to isolate UniFi Protect Cameras from other parts of the network.
- Access Control: Enforce strict access controls and monitor network traffic for unusual activities.
Long-Term Actions:
- Patch Management: Apply the vendor-provided patch as soon as it becomes available.
- Regular Audits: Conduct regular security audits and vulnerability assessments.
- User Training: Educate users on the importance of network security and the risks associated with enabling features like Auto-Adopt.
5. Impact on Cybersecurity Landscape
Broader Implications:
- IoT Security: This vulnerability highlights the ongoing challenges in securing IoT devices, particularly those with automated features.
- Physical Security: The potential for unauthorized access to surveillance cameras poses significant risks to physical security, especially in sensitive environments.
- Supply Chain Risks: Organizations relying on third-party security solutions must ensure robust vulnerability management practices are in place.
Industry Response:
- Vendor Responsibility: Vendors must prioritize security in the design and implementation of IoT devices.
- Regulatory Compliance: Increased regulatory scrutiny on IoT security standards and compliance.
6. Technical Details for Security Professionals
Vulnerability Details:
- Authentication Mechanism: The vulnerability exploits a flaw in the authentication process when the Auto-Adopt feature is enabled.
- Network Protocols: The attack likely involves manipulating network protocols used by UniFi Protect Cameras for communication and device management.
Detection and Monitoring:
- Network Monitoring: Implement network monitoring tools to detect unusual traffic patterns indicative of an authentication bypass attempt.
- Log Analysis: Regularly analyze logs for unauthorized access attempts and successful authentications.
Incident Response:
- Containment: Isolate affected cameras and disable the Auto-Adopt feature.
- Eradication: Remove any unauthorized configurations and ensure all devices are running the latest firmware.
- Recovery: Restore normal operations after ensuring the vulnerability has been mitigated.
Conclusion: CVE-2025-23116 represents a critical vulnerability that underscores the need for vigilant security practices in IoT device management. Organizations must take immediate steps to mitigate the risk and work closely with vendors to ensure long-term security.
References:
- Security Advisory Bulletin
- Source Identifier: support@hackerone.com