CVE-2017-16260 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_auth, at 0x9d015478, the value for the `pwd` key is copied using `strcpy` to the buffer at `$sp+0x2b0`.This buffer is 32 bytes large, sending anything longer will cause a buffer overflow.
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 02/04/2023
The vulnerability identified as CVE-2017-16260 represents a critical stack-based buffer overflow flaw within the Insteon Hub's PubNub message handler implementation. This security weakness specifically affects the "cc" channel functionality and manifests in firmware version 1012, creating a significant attack surface for malicious actors targeting home automation systems. The vulnerability stems from improper input validation and unsafe string handling practices that allow attackers to manipulate memory layout through crafted payloads. The affected system processes messages received via the PubNub service, which serves as a communication channel between the Insteon Hub and external devices, making this a particularly dangerous exposure in smart home environments where these hubs control critical home automation functions.
The technical exploitation of this vulnerability occurs through a specific code path within the cmd s_auth function located at address 0x9d015478. The flaw is triggered when the system processes the `pwd` key value from incoming HTTP requests, utilizing the dangerous `strcpy` function to copy user-supplied data into a stack buffer. This buffer allocation is only 32 bytes in size, creating an immediate overflow condition when input exceeds this boundary. The buffer is positioned at offset $sp+0x2b0 relative to the stack pointer, meaning that overflow data overwrites adjacent stack memory locations including potentially critical control data such as return addresses, function pointers, and local variables. This unsafe memory manipulation technique directly violates the principles outlined in CWE-121, which specifically addresses stack-based buffer overflow conditions where insufficient space is allocated for string operations.
The operational impact of this vulnerability extends beyond simple code execution, potentially allowing attackers to gain unauthorized control over the Insteon Hub device and its connected home automation systems. Successful exploitation could enable remote code execution, persistent backdoor installation, or complete system compromise, particularly concerning the sensitive nature of home security and automation infrastructure. Attackers could leverage this vulnerability to manipulate lighting controls, access security systems, or even disrupt the entire smart home network by corrupting system memory and potentially causing system crashes or reboots. The authenticated nature of the attack requirement means that while an attacker needs valid credentials, the vulnerability's exploitation could still result in unauthorized privilege escalation or privilege abuse within the system's legitimate access controls. This vulnerability aligns with ATT&CK technique T1059, which covers command and scripting interpreter usage, as exploitation could enable attackers to execute arbitrary commands on the compromised device.
Mitigation strategies for CVE-2017-16260 should prioritize immediate firmware updates from Insteon to address the underlying buffer overflow conditions. Organizations and users should implement network segmentation to isolate Insteon Hub devices from critical network segments and establish robust authentication controls with strong credential management practices. Input validation should be enhanced at multiple levels including application-layer checks to prevent buffer overflows, while implementing stack canaries and address space layout randomization techniques to make exploitation more difficult. The system should also employ proper memory management practices such as using safer string functions like `strncpy` or `strlcpy` instead of `strcpy`, and ensuring adequate buffer sizing with proper bounds checking. Additionally, network monitoring should be deployed to detect anomalous PubNub traffic patterns that might indicate exploitation attempts, and regular security assessments should be conducted to identify similar vulnerabilities in other IoT devices within the home automation ecosystem.