CVE-2017-16320 in Insteon
Summary
by MITRE • 01/12/2023
Multiple exploitable buffer overflow vulnerabilities exist in the PubNub message handler for the "cc" channel of Insteon Hub running firmware version 1012. Specially crafted commands sent through the PubNub service can cause a stack-based buffer overflow overwriting arbitrary data. An attacker should send an authenticated HTTP request to trigger this vulnerability. In cmd s_sonos, at 0x9d01ddd4, the value for the `s_sonos_cmd` key is copied using `strcpy` to the buffer at `$sp+0x290`.This buffer is 32 bytes large, sending anything longer will cause a buffer overflow.
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Analysis
by VulDB Data Team • 02/04/2023
The CVE-2017-16320 vulnerability represents a critical stack-based buffer overflow flaw within the Insteon Hub's PubNub message handling system, specifically targeting the "cc" channel functionality. This vulnerability resides in the firmware version 1012 of the Insteon Hub device, which operates as a smart home automation hub that communicates with various IoT devices through the PubNub messaging service. The flaw manifests when the system processes specially crafted commands transmitted via the PubNub platform, creating a dangerous condition that allows for arbitrary code execution and system compromise. The vulnerability is categorized under CWE-121 Stack-based Buffer Overflow, which falls under the broader category of memory safety issues that have been consistently identified as high-risk threats in cybersecurity assessments and vulnerability management frameworks.
The technical implementation of this vulnerability occurs within the cmd s_sonos function at memory address 0x9d01ddd4, where the system employs the unsafe strcpy function to copy data from the s_sonos_cmd key into a stack buffer located at $sp+0x290. This buffer allocation is insufficient at only 32 bytes in size, creating a direct path for overflow conditions when user-supplied input exceeds this boundary. The use of strcpy without proper bounds checking represents a classic security anti-pattern that has been documented in numerous security advisories and represents a fundamental flaw in defensive programming practices. The vulnerability requires an authenticated HTTP request to be triggered, indicating that while the attack vector is accessible, it does require prior access credentials or session tokens, making it somewhat less trivial than unauthenticated exploits but still highly concerning for networked IoT devices.
The operational impact of this vulnerability extends beyond simple system crashes or denial of service conditions, as it provides attackers with the capability to overwrite arbitrary data on the stack, potentially leading to complete system compromise and arbitrary code execution. This type of vulnerability is particularly dangerous in IoT environments where devices often operate with minimal security controls and may be deployed in sensitive locations such as homes or commercial facilities. The attack surface is further expanded through the PubNub service integration, which means that attackers can potentially exploit this vulnerability from remote locations without requiring physical access to the device. The vulnerability also aligns with ATT&CK technique T1059.007 for Command and Scripting Interpreter: Python, as it likely involves command execution through the compromised message handling system. The combination of remote exploitability, authenticated access requirements, and the potential for arbitrary code execution makes this vulnerability a significant concern for IoT security, particularly in smart home environments where device integrity directly impacts personal safety and privacy.
Mitigation strategies for this vulnerability should encompass both immediate and long-term security measures. Immediate actions include implementing firmware updates from the manufacturer to address the buffer overflow condition, ensuring that all devices are running patched versions with proper bounds checking and input validation. Network segmentation and access control measures should be implemented to limit the exposure of these devices to untrusted networks and to enforce authentication requirements. The use of intrusion detection systems and network monitoring can help identify potential exploitation attempts through unusual PubNub traffic patterns or unauthorized HTTP requests. Additionally, implementing proper input validation and using safer string handling functions such as strncpy instead of strcpy would prevent similar vulnerabilities from occurring in future implementations. Organizations should also consider regular security assessments of their IoT device fleets and maintain updated threat intelligence to monitor for similar vulnerabilities in other smart home devices that may share similar architectural patterns or communication protocols.