CVE-2013-4867 in Karotz Smart Rabbit
Summary
by MITRE
Electronic Arts Karotz Smart Rabbit 12.07.19.00 allows Python module hijacking
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Analysis
by VulDB Data Team • 03/18/2024
The vulnerability identified as CVE-2013-4867 affects Electronic Arts Karotz Smart Rabbit version 12.07.19.00, representing a significant security flaw that enables Python module hijacking attacks. This device operates as a smart toy that connects to home networks and executes Python-based applications, making it a potential target for malicious actors seeking to compromise the system through code injection techniques. The vulnerability stems from improper handling of Python module loading mechanisms within the device's software architecture.
The technical flaw manifests when the Karotz Smart Rabbit application fails to properly validate or restrict the Python module paths during runtime execution. This allows attackers to manipulate the module resolution process by placing malicious Python modules in directories that are searched before legitimate system modules. The vulnerability specifically relates to insecure library loading practices where the application does not implement proper sandboxing or module access controls. This weakness creates an environment where unauthorized code can be executed with the privileges of the running application, potentially leading to complete system compromise.
The operational impact of this vulnerability extends beyond simple code execution, as it provides attackers with a foothold for more sophisticated attacks within the device ecosystem. An attacker could leverage this vulnerability to install persistent backdoors, exfiltrate data from the device, or use it as a pivot point to attack other networked devices. The Smart Rabbit's connectivity to home networks means that successful exploitation could lead to broader network compromise, particularly in environments where the device shares the same network segment as other sensitive systems. This vulnerability aligns with CWE-427 Uncontrolled Search Path Element, which describes the condition where a program searches for modules or libraries in a predictable path without proper validation, and it maps to ATT&CK technique T1059.006 Python within the execution and persistence categories.
Mitigation strategies for this vulnerability should focus on implementing proper module path validation and restricting the Python module search paths to trusted locations only. System administrators should ensure that the device firmware is updated to versions that address this specific flaw, and network segmentation should be implemented to limit the potential impact of exploitation. Additionally, the device should be configured to run with minimal privileges and without unnecessary Python module access. Organizations should also consider implementing network monitoring to detect suspicious Python module loading activities. The vulnerability demonstrates the importance of secure coding practices in embedded systems and highlights the risks associated with executing interpreted languages in resource-constrained environments without proper security controls. This issue underscores the necessity for manufacturers to implement proper input validation and module loading security measures in IoT devices to prevent similar vulnerabilities from being exploited in the future.