CVE-2018-11993 in Snapdragon Wear
Summary
by MITRE
Improper check while accessing the local memory stack on MQTT connection request can lead to buffer overflow in snapdragon wear in versions MDM9206, MDM9607
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Analysis
by VulDB Data Team • 05/04/2020
The vulnerability identified as CVE-2018-11993 represents a critical buffer overflow flaw in the Qualcomm Snapdragon Wear chipsets, specifically affecting the MDM9206 and MDM9607 versions. This issue manifests during MQTT (Message Queuing Telemetry Transport) connection request processing, where improper validation of local memory stack operations creates exploitable conditions. The vulnerability resides within the embedded systems architecture of wearable devices that rely on Qualcomm's Snapdragon Wear platform, making it particularly concerning for IoT and smart wearable ecosystems.
The technical implementation flaw stems from inadequate bounds checking during stack memory allocation when processing MQTT protocol connection requests. When an MQTT client attempts to establish a connection to a server, the Snapdragon Wear chipset fails to properly validate the size and content of incoming data structures before copying them into local stack buffers. This improper validation creates a classic buffer overflow condition where maliciously crafted MQTT connection parameters can overwrite adjacent memory locations. The vulnerability is classified under CWE-121 as a stack-based buffer overflow, which occurs when data is written beyond the bounds of a stack-allocated buffer.
The operational impact of this vulnerability extends beyond simple denial of service scenarios, as it can potentially enable remote code execution on affected wearable devices. Attackers who can intercept or manipulate MQTT traffic to these devices could exploit the buffer overflow to inject malicious code into the device's memory space, potentially gaining full control over the wearable device. This represents a significant risk for health monitoring wearables, smartwatches, and other IoT devices that rely on secure communication protocols. The vulnerability affects devices that use Qualcomm's Snapdragon Wear platform, which is commonly found in fitness trackers, smartwatches, and other wearable computing devices that require reliable connectivity to IoT ecosystems.
Mitigation strategies for CVE-2018-11993 should focus on firmware updates from device manufacturers, as the vulnerability exists at the chipset level within Qualcomm's embedded software implementations. System administrators and device manufacturers should prioritize immediate deployment of security patches that address the improper memory validation during MQTT connection processing. Network segmentation and monitoring of MQTT traffic can provide additional layers of defense by detecting anomalous connection patterns that might indicate exploitation attempts. The ATT&CK framework categorizes this vulnerability under T1059 for remote code execution capabilities, while T1071.004 covers application layer protocol usage for command and control communications. Organizations should implement robust network monitoring solutions to detect unusual MQTT traffic patterns and consider implementing secure communication protocols with proper authentication mechanisms to reduce the attack surface for such vulnerabilities.