CVE-2017-2852 in Xltek NeuroWorks
Summary
by MITRE
An exploitable denial-of-service vulnerability exists in the unserialization of lists functionality of Natus Xltek NeuroWorks 8. A specially crafted network packet can cause an out-of-bounds read, resulting in a denial of service. An attacker can send a malicious packet to trigger this vulnerability.
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Analysis
by VulDB Data Team • 03/19/2023
The vulnerability identified as CVE-2017-2852 represents a critical denial-of-service weakness within Natus Xltek NeuroWorks 8 software, specifically affecting the unserialization of list data structures. This flaw resides in the software's handling of network packets containing maliciously crafted data that triggers improper memory management during data processing. The vulnerability stems from inadequate bounds checking during the deserialization process, where the application fails to validate the size and structure of incoming data before attempting to parse list elements. Such insufficient input validation creates an exploitable condition that allows remote attackers to disrupt service availability by sending specifically formatted packets that cause the application to read memory locations beyond the allocated buffer boundaries.
The technical implementation of this vulnerability demonstrates a classic out-of-bounds read condition that operates at the application layer of the network stack. When NeuroWorks 8 receives a network packet containing serialized list data, the software attempts to reconstruct the data structure without proper validation of the data length or element count. This processing error results in memory access violations that manifest as application crashes or system instability. The flaw operates under CWE-129 which categorizes improper validation of array indices, and more specifically aligns with CWE-125 which addresses out-of-bounds read conditions. The vulnerability's exploitation requires minimal privileges and can be executed remotely, making it particularly dangerous in networked environments where the software operates.
The operational impact of CVE-2017-2852 extends beyond simple service disruption to potentially compromise the integrity of medical data processing systems. In healthcare environments where NeuroWorks 8 is deployed for neurological monitoring and analysis, a successful denial-of-service attack could interrupt critical patient monitoring capabilities, leading to delayed diagnoses or treatment decisions. The vulnerability's remote exploitability means that attackers can target systems without physical access, potentially causing cascading failures in medical device networks. According to ATT&CK framework, this vulnerability maps to T1499.004 which covers network disruption attacks and T1072 which addresses software deployment and execution in compromised environments, highlighting the multi-layered threat potential.
Mitigation strategies for this vulnerability require immediate software patching and network-level defenses to protect against exploitation attempts. Organizations should implement network segmentation to isolate NeuroWorks 8 systems from general network traffic and deploy intrusion detection systems that can identify malformed packets targeting this specific vulnerability. The software vendor should provide a security patch that implements proper bounds checking during list unserialization processes, ensuring that all input data is validated against expected size parameters before memory allocation occurs. Additionally, administrators should consider implementing rate limiting mechanisms to prevent rapid exploitation attempts and establish monitoring protocols to detect unusual network traffic patterns that may indicate exploitation attempts. Regular security assessments and vulnerability scanning should be conducted to identify similar weaknesses in other medical device software components that may present comparable risks.