CVE-2020-1393 in Windows
Summary
by MITRE
An elevation of privilege vulnerability exists when the Windows Diagnostics Hub Standard Collector Service fails to properly sanitize input, leading to an unsecure library-loading behavior, aka 'Windows Diagnostics Hub Elevation of Privilege Vulnerability'. This CVE ID is unique from CVE-2020-1418.
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Analysis
by VulDB Data Team • 10/30/2020
The Windows Diagnostics Hub Standard Collector Service vulnerability represents a critical elevation of privilege flaw that exploits insecure library loading mechanisms within the Windows operating system. This vulnerability specifically targets the diagnostic service component that handles system diagnostics data collection and processing, creating an opportunity for malicious actors to escalate their privileges from standard user level to SYSTEM level access. The flaw manifests when the service fails to properly sanitize input parameters during library loading operations, allowing attackers to manipulate the loading process and execute arbitrary code with elevated privileges. This vulnerability is particularly concerning because it operates at the system level and leverages legitimate Windows services to achieve privilege escalation without requiring direct exploitation of kernel-level components.
The technical root cause of this vulnerability lies in the improper validation and sanitization of input data within the Windows Diagnostics Hub service. When the service processes diagnostic data or configuration parameters, it does not adequately validate the source or content of loaded libraries, creating a path for attackers to inject malicious code through carefully crafted input. This insecure library loading behavior aligns with common software security weaknesses documented in CWE-426, which addresses insecure library loading vulnerabilities that occur when applications fail to properly validate library paths or contents. The vulnerability specifically exploits the service's reliance on dynamic library loading mechanisms without sufficient input validation, enabling attackers to manipulate the library search order and load malicious DLLs instead of legitimate system libraries.
From an operational perspective, this vulnerability presents significant risk to enterprise environments where standard users might have access to systems running vulnerable Windows versions. Attackers can leverage this flaw by crafting specific diagnostic data or configuration inputs that trigger the insecure library loading behavior, potentially allowing them to execute malicious code with SYSTEM privileges. The impact extends beyond individual system compromise as successful exploitation can enable lateral movement within networks, data exfiltration, and persistence mechanisms. The vulnerability's classification under the ATT&CK framework would map to privilege escalation techniques, specifically using service manipulation and insecure library loading to gain elevated system access. Organizations running affected Windows versions face potential exposure to attackers who can exploit this weakness to establish persistent backdoors or escalate access to critical system resources.
Mitigation strategies for this vulnerability include immediate application of Microsoft security patches and updates that address the specific input sanitization issues within the Windows Diagnostics Hub service. System administrators should also implement additional security controls such as restricting access to diagnostic services, monitoring for unusual library loading activities, and employing application whitelisting policies to prevent unauthorized DLL execution. The vulnerability highlights the importance of secure coding practices and proper input validation in system-level services, particularly those that handle external data input. Organizations should also consider implementing network segmentation and access controls to limit exposure of vulnerable services, while maintaining regular vulnerability assessments to identify similar insecure library loading patterns in other system components. Additionally, monitoring for suspicious diagnostic data processing activities and implementing behavioral analysis tools can help detect exploitation attempts before they succeed in escalating privileges.