CVE-2018-8850 in e-Alert Unit
Summary
by MITRE
Philips e-Alert Unit (non-medical device), Version R2.1 and prior. The software does not validate input properly, allowing an attacker to craft the input in a form that is not expected by the rest of the application. This would lead to parts of the unit receiving unintended input, which may result in altered control flow, arbitrary control of a resource, or arbitrary code execution.
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Analysis
by VulDB Data Team • 03/27/2020
The Philips e-Alert Unit represents a critical non-medical device that serves as a communication platform for healthcare facilities, designed to alert medical staff about patient status changes and system anomalies. This device operates as a networked component within hospital infrastructure, facilitating real-time notifications and data transmission between various medical systems. The vulnerability identified in version R2.1 and prior implementations stems from inadequate input validation mechanisms within the device's software architecture, creating a fundamental security weakness that directly impacts the integrity and operational reliability of the system. The device's role in healthcare communications makes it a potentially attractive target for malicious actors seeking to disrupt critical infrastructure operations.
The technical flaw manifests as a failure in input sanitization and validation processes that should occur at multiple layers within the application's processing pipeline. Attackers can exploit this weakness by crafting malformed input data that bypasses normal validation checks, allowing malicious payloads to be processed through the system's normal operational channels. This improper input handling creates a path for code injection attacks where crafted data can manipulate the device's execution flow, potentially leading to complete system compromise. The vulnerability specifically affects the device's ability to process external data inputs, which could originate from network connections, local interfaces, or even legitimate system components that have been compromised. The lack of proper input validation creates multiple attack vectors where an attacker can manipulate the application's behavior through carefully constructed malicious inputs.
The operational impact of this vulnerability extends beyond simple data corruption, potentially enabling full system compromise and unauthorized access to critical healthcare communications infrastructure. An attacker who successfully exploits this vulnerability could gain arbitrary code execution privileges on the device, allowing them to modify system behavior, access stored data, or redirect communication flows. The altered control flow could result in the device failing to alert medical staff about critical patient conditions, creating life-threatening scenarios where healthcare providers remain unaware of urgent medical situations. Additionally, the compromised device could serve as a pivot point for further attacks within the hospital network, as it represents a legitimate system component with potentially elevated privileges. This vulnerability undermines the trustworthiness of the alerting system and could lead to cascading failures in healthcare delivery operations.
Mitigation strategies for this vulnerability should focus on implementing comprehensive input validation mechanisms at all levels of the application stack, following established security practices and standards. The device firmware should be updated to include proper sanitization routines that validate all incoming data against expected formats and ranges, with strict enforcement of data type checking and length limitations. Network segmentation and access controls should be implemented to limit the attack surface, preventing unauthorized access to the device's communication interfaces. Regular security assessments and penetration testing should be conducted to identify additional vulnerabilities in the system's architecture. Organizations should also implement monitoring solutions to detect anomalous behavior patterns that might indicate exploitation attempts, and maintain detailed audit logs of all system interactions for forensic analysis purposes. This vulnerability aligns with CWE-20, which addresses improper input validation, and represents a significant concern under ATT&CK framework category TA0043, which covers privilege escalation and TA0001, which addresses initial access through network services.