This vulnerability allows multiple command injection via the ping_addr and trace_addr function parameters in gl-inet GL-MT300N-V2 Mango v3.212 and GL-AX1800 Flint v3.214. With a CVSS score of 6.8, this medium-severity vulnerability indicates a significant risk for organizations using these devices. Attackers may leverage this weakness to execute arbitrary commands on affected devices, leading to potential unauthorized access and control.
The command injection vulnerabilities identified in these devices can be exploited over an adjacent network, requiring high privileges for successful exploitation. Confidentiality, integrity, and availability impacts are assessed as high, emphasizing the critical need for remediation.
Organizations should prioritize patching immediately to mitigate this vulnerability. The risk of exploitation is heightened due to the nature of the vulnerabilities, necessitating a proactive approach to security management.
Remediation should include applying the latest firmware updates provided by the vendor and validating security configurations to ensure they are not susceptible to these types of command injection attacks.
Given the potential for exploitation, organizations are urged to assess their systems and implement necessary updates as part of their security protocols.
Vulnerability Details
The gl-inet GL-MT300N-V2 Mango v3.212 and GL-AX1800 Flint v3.214 have been found to contain multiple command injection vulnerabilities. The CVSS score of this vulnerability is 6.8, classifying it as medium severity. The vulnerability is documented in the Common Weakness Enumeration (CWE) as CWE-78, which pertains to improper neutralization of special elements used in a command ('command injection'). The vulnerabilities were published on October 27, 2022.
Technical Analysis
The root cause of the vulnerability lies in the improper handling of user input in the ping_addr and trace_addr function parameters. This oversight allows attackers to inject arbitrary commands, which can then be executed by the device's operating system. The attack vector is through adjacent networks, and the attack complexity is considered low. High privileges are required to exploit this vulnerability, and no user interaction is needed. The impacts on confidentiality, integrity, and availability are all rated as high, indicating severe risks associated with this vulnerability.
Risk & Impact Analysis
Risk to organizations includes potential unauthorized access, manipulation of device operations, and overall compromise of network security. Given the high impact on confidentiality, integrity, and availability, organizations must understand that the blast radius could extend beyond the affected devices, impacting the entire network ecosystem.
Organizations should assess their exposure to this vulnerability based on their network configurations and the presence of affected devices. The urgency of remediation is classified as medium, given the known exploitability and the nature of the vulnerabilities.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | Yes |
Public PoC | Yes |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The affected versions include gl-inet GL-MT300N-V2 Mango v3.212 and GL-AX1800 Flint v3.214. All versions prior to the vendor patch are vulnerable to these command injection vulnerabilities.
Mitigation & Remediation
To mitigate this vulnerability, organizations should upgrade to the latest firmware versions provided by GL.iNET. If a patch is unavailable, consider implementing configuration hardening to restrict access to affected functions and monitor for any suspicious activity.
For additional security, organizations may also deploy network controls to limit exposure to adjacent networks and implement monitoring solutions to detect anomalous behavior.
Organizations should validate remediation effectiveness through penetration testing to identify similar weaknesses.
Detection Guidance
Security teams should monitor logs for indicators of command injection attempts, particularly through the ping_addr and trace_addr parameters. Detection of unusual patterns or behaviors in network traffic is also crucial.
AppSecure Threat Intelligence Insight
The existence of command injection vulnerabilities in widely deployed devices like gl-inet routers signifies a critical area for security teams to focus on. As these vulnerabilities can lead to severe consequences, organizations must ensure they are proactive in their vulnerability management processes.
For more insights on securing your network, refer to the comprehensive penetration testing methodology and consider integrating continuous security practices into your operational framework.
Moreover, organizations should look into enhancing their vulnerability management program to effectively address potential exposure to similar vulnerabilities in the future.
In conclusion, the security implications of vulnerabilities like CVE-2022-31898 necessitate a robust response strategy to safeguard organizational assets.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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