CVE-2017-17430 in NetBorderinfo

Summary

by MITRE

Sangoma NetBorder / Vega Session Controller before 2.3.12-80-GA allows remote attackers to execute arbitrary commands via the web interface.

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Analysis

by VulDB Data Team • 01/26/2021

The vulnerability identified as CVE-2017-17430 affects Sangoma NetBorder and Vega Session Controller software versions prior to 2.3.12-80-GA, representing a critical remote code execution flaw that exposes organizations to significant cybersecurity risks. This vulnerability exists within the web interface of the affected systems, creating an attack vector that allows remote adversaries to execute arbitrary commands on the target devices. The flaw stems from inadequate input validation and sanitization mechanisms within the web application layer, which fails to properly filter or escape user-supplied data before processing. Attackers can exploit this weakness by crafting malicious payloads through the web interface, potentially gaining full administrative control over the affected systems. The vulnerability aligns with CWE-74, which describes improper neutralization of special elements used in a command, and represents a classic command injection vulnerability that has been documented across numerous network security appliances and web applications. Organizations utilizing these Sangoma products face substantial risk of unauthorized access, data compromise, and potential lateral movement within their networks.

The technical exploitation of CVE-2017-17430 leverages the web interface's insufficient validation of user inputs, particularly in parameters that are directly passed to underlying system commands. When legitimate users interact with the web interface, malicious actors can inject command sequences that bypass normal access controls and execute with the privileges of the web application service account. This typically occurs through parameter manipulation, where attackers submit specially crafted input that gets interpreted as executable commands rather than data. The vulnerability operates at the application layer, making it particularly dangerous as it can be exploited without requiring physical access or prior authentication. The attack surface is further expanded by the fact that the web interface often runs with elevated privileges, allowing successful exploitation to result in complete system compromise. This weakness can be categorized under the ATT&CK framework as T1059.001 - Command and Scripting Interpreter, specifically focusing on the use of Windows Command Shell or Unix Shell for executing commands. The vulnerability demonstrates a critical failure in the principle of least privilege and proper input validation, creating a pathway for attackers to escalate their privileges and gain persistent access to network infrastructure.

The operational impact of CVE-2017-17430 extends far beyond simple unauthorized access, as successful exploitation can lead to complete network compromise and data exfiltration. Organizations relying on Sangoma NetBorder and Vega Session Controller for network security may experience unauthorized access to sensitive network resources, including the ability to modify firewall rules, access internal network segments, and potentially establish backdoors for continued access. The vulnerability can also enable attackers to perform reconnaissance activities, identify other network assets, and facilitate lateral movement throughout the enterprise network. Given that these devices often serve as critical network security components, their compromise can result in widespread security degradation and potential regulatory compliance violations. The attack can be executed remotely without requiring specialized tools or deep technical knowledge, making it particularly dangerous for organizations with limited security resources. This vulnerability essentially removes the boundary protection provided by the network security appliance, allowing attackers to treat the device as a trusted entry point into the broader network infrastructure. The implications include potential data breaches, service disruption, and the establishment of persistent threat presence within the organization's network environment.

Organizations must implement immediate remediation measures to address CVE-2017-17430, with the most effective solution being the upgrade to Sangoma NetBorder and Vega Session Controller versions 2.3.12-80-GA or later. This update addresses the underlying command injection vulnerability through proper input validation and sanitization mechanisms that prevent malicious payloads from being executed as system commands. Network administrators should also consider implementing network segmentation and access controls to limit exposure of the affected systems, particularly by restricting access to the web interface from trusted networks only. Additional defensive measures include monitoring network traffic for suspicious command execution patterns, implementing web application firewalls to detect and block malicious input, and conducting comprehensive vulnerability assessments to identify other potentially affected systems. Organizations should also review their incident response procedures to ensure readiness for potential exploitation attempts, as the vulnerability's characteristics make it particularly attractive to automated attack tools. The remediation process should include thorough testing of the updated software to ensure compatibility with existing network configurations and security policies. Regular security updates and patch management processes should be reinforced to prevent similar vulnerabilities from being introduced in the future, emphasizing the importance of maintaining current software versions and implementing proper security controls. The vulnerability serves as a reminder of the critical importance of input validation in web applications and the need for continuous security monitoring of network infrastructure components.

Reservation

12/05/2017

Disclosure

12/07/2017

Moderation

accepted

CPE

ready

EPSS

0.00892

KEV

no

Activities

very low

Sources

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