CVE-2023-3103 in Unitree Robotics
Summary
by MITRE • 11/22/2023
Authentication bypass vulnerability, the exploitation of which could allow a local attacker to perform a Man-in-the-Middle (MITM) attack on the robot's camera video stream. In addition, if a MITM attack is carried out, it is possible to consume the robot's resources, which could lead to a denial-of-service (DOS) condition.
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 08/02/2024
This vulnerability represents a critical authentication bypass flaw that fundamentally undermines the security posture of robotic systems. The weakness allows local attackers to circumvent legitimate authentication mechanisms, creating an entry point that enables unauthorized access to sensitive video streams. The vulnerability's classification aligns with CWE-287 which addresses improper authentication issues, specifically targeting scenarios where authentication controls are insufficiently enforced. The attack vector is particularly concerning as it operates at the local network level, meaning that an attacker with physical or network access to the robot's environment can exploit this flaw without requiring external network connectivity.
The technical implementation of this vulnerability stems from inadequate session management and authentication validation mechanisms within the robot's communication protocols. When an attacker successfully bypasses authentication, they gain the ability to intercept and manipulate the video stream data flowing from the robot's camera system. This man-in-the-middle capability represents a sophisticated attack pattern that maps directly to ATT&CK technique T1046 for network service scanning and T1566 for credential access through social engineering or exploitation of weak authentication controls. The video stream interception creates multiple attack surfaces including potential data exfiltration, stream manipulation, and the ability to inject malicious content into the video feed.
The operational impact extends beyond simple stream interception to include significant resource consumption that can lead to denial-of-service conditions. This dual nature of the vulnerability creates a particularly dangerous scenario where attackers can not only access sensitive visual data but also destabilize the robot's operational capabilities. The resource exhaustion aspect of this vulnerability demonstrates how seemingly minor authentication flaws can cascade into more severe system integrity issues, potentially rendering the robot non-functional or unable to perform its intended tasks. The attack could result in complete service disruption, compromising both the security and operational availability of the robotic system.
Mitigation strategies must address both the authentication bypass and the resource consumption aspects of this vulnerability. Immediate remediation should focus on strengthening authentication mechanisms, implementing proper session management, and ensuring that all communication channels utilize secure protocols such as TLS with strong certificate validation. The implementation of mutual authentication between the robot and connected systems would significantly reduce the attack surface. Additionally, resource monitoring and rate limiting mechanisms should be deployed to detect and prevent abusive consumption patterns that could lead to denial-of-service conditions. Organizations should also implement network segmentation and access controls to limit local network access points that could be exploited, while regular security assessments and penetration testing should be conducted to identify potential exploitation vectors before they can be leveraged by malicious actors.