CVE-2026-11735 in R7000
Summary
by MITRE • 08/11/2026
A stack-based buffer overflow vulnerability affects the listed NETGEAR models allowing an authenticated admin user to make unauthorized modification to the router's software and functionality.
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Analysis
by VulDB Data Team • 08/11/2026
This vulnerability represents a critical stack-based buffer overflow that exists within specific NETGEAR router models, creating a pathway for authenticated administrators to execute unauthorized modifications to the device's firmware and operational capabilities. The flaw manifests when the affected devices process input data in a manner that exceeds allocated stack memory boundaries, potentially allowing attackers with administrative credentials to craft malicious inputs that overwrite adjacent memory locations. Such buffer overflow conditions typically arise from insufficient bounds checking during data processing operations within the router's firmware codebase, where user-supplied parameters are directly copied or manipulated without adequate validation mechanisms. The security implications extend beyond simple privilege escalation as the vulnerability enables attackers to modify core system components, potentially installing backdoors, altering network configurations, or corrupting essential firmware elements that govern device operation.
The technical exploitation of this vulnerability requires an attacker to possess administrative credentials, which establishes a baseline authentication requirement that significantly reduces the attack surface compared to unauthenticated exploits. However, the severity increases substantially when considering that authorized administrators may be compromised through social engineering, credential theft, or insider threats. The buffer overflow condition specifically targets memory management routines within the router's operating system, where stack-based memory allocation occurs during function calls and parameter processing. This type of vulnerability falls under CWE-121 stack-based buffer overflow classification, which is categorized as a fundamental memory safety issue that has been extensively documented in cybersecurity literature and represents one of the most common attack vectors against embedded systems. The ATT&CK framework would classify this vulnerability within the privilege escalation and persistence phases, as attackers could leverage the modified firmware to establish long-term access or disrupt network operations.
The operational impact of this vulnerability extends far beyond immediate security concerns, potentially affecting network infrastructure reliability and enterprise security postures. Organizations relying on affected NETGEAR models may experience unauthorized configuration changes that alter routing tables, disable security features, or redirect traffic through malicious endpoints. The modification capabilities granted by this vulnerability could enable attackers to establish persistent backdoors within the network infrastructure, effectively creating stealthy entry points for future attacks while maintaining access to critical network resources. Network administrators might face challenges in detecting compromise due to legitimate administrative functions being performed from compromised accounts. Additionally, the firmware modification capabilities could render devices inoperable or create security gaps that allow lateral movement throughout the network environment.
Mitigation strategies should prioritize immediate credential management and access control reviews, ensuring that administrative accounts maintain strong authentication mechanisms including multi-factor authentication and regular credential rotation. Network segmentation and monitoring solutions should be deployed to detect anomalous configuration changes or unauthorized firmware modifications that might indicate exploitation attempts. Device vendors should provide firmware updates containing memory bounds checking improvements and input validation enhancements to address the underlying buffer overflow conditions. Security teams must implement continuous monitoring of administrative access logs for suspicious activities and establish baseline configuration states to quickly identify unauthorized modifications. The vulnerability also underscores the importance of secure coding practices during embedded system development, emphasizing the need for comprehensive testing including fuzzing and memory safety analysis to prevent similar issues in future firmware releases. Organizations should conduct thorough inventory assessments to identify all affected devices and prioritize remediation efforts based on risk exposure levels within their network environments.