CVE-2026-12990 in Vision 60
Summary
by MITRE • 07/27/2026
An access control vulnerability in the mobile app (APK v5.5.0) for Ghost Robotics' Vision 60 robot allows multiple simultaneous sessions to run without proper client validation or session integrity checks. An attacker with a modified version of the app can connect to the robot during an active, legitimate session. This allows the attacker to bypass control restrictions, intercept sensitive information (such as real-time video), and partially interact with the system unnoticed and without disconnecting the legitimate user, compromising confidentiality and operational security.
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Analysis
by VulDB Data Team • 07/27/2026
This vulnerability represents a critical access control flaw in Ghost Robotics' mobile application architecture that fundamentally undermines the security posture of their Vision 60 robot platform. The issue stems from insufficient session management mechanisms within the APK version 5.5.0, where the application fails to properly validate client authenticity or maintain session integrity checks. The absence of robust authentication tokens and session binding creates an environment where malicious actors can exploit the system through a modified application version that maintains persistent network connections to the robot. This weakness directly maps to CWE-305 authentication flaws and aligns with ATT&CK technique T1566 for initial access through malicious app delivery.
The technical implementation flaw manifests in how the mobile application handles concurrent session management without proper mutual authentication protocols or session termination validation. Legitimate users establish connections that remain active while attackers can simultaneously maintain their own sessions through modified client software, effectively creating a multi-user scenario without proper authorization mechanisms. The system lacks cryptographic session binding or certificate pinning that would normally prevent such unauthorized access patterns. This vulnerability enables what security researchers term "session hijacking" attacks where the attacker seamlessly takes over control of the robot while the legitimate user remains unaware of the compromise.
Operationally, this vulnerability creates severe confidentiality and integrity risks for organizations utilizing the Vision 60 platform. The attacker can intercept real-time video streams and sensitive operational data without disrupting the legitimate user's connection, making detection extremely difficult. The compromised system allows partial interaction with the robot's control functions while maintaining the appearance of normal operation, creating a stealthy attack vector that can persist undetected for extended periods. This capability directly impacts the robot's operational security by enabling unauthorized surveillance and potential manipulation of critical systems without alerting legitimate operators.
Mitigation strategies should focus on implementing robust session management protocols including mutual authentication between client and server components, cryptographic session binding, and dynamic token validation mechanisms. Organizations should deploy certificate pinning techniques to prevent installation of modified applications and implement real-time session monitoring with anomaly detection capabilities. The mobile application must enforce strict session termination policies and implement proper session invalidation when unauthorized access attempts are detected. Additionally, network-level security controls such as intrusion detection systems and behavioral analytics should be deployed to monitor for suspicious connection patterns and unauthorized access attempts that could indicate exploitation of this vulnerability.