CVE-2023-50919
CVE-2023-50919
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
An issue was discovered on GL.iNet devices before version 4.5.0. There is an NGINX authentication bypass via Lua string pattern matching. This affects A1300 4.4.6, AX1800 4.4.6, AXT1800 4.4.6, MT3000 4.4.6, MT2500 4.4.6, MT6000 4.5.0, MT1300 4.3.7, MT300N-V2 4.3.7, AR750S 4.3.7, AR750 4.3.7, AR300M 4.3.7, and B1300 4.3.7.
Comprehensive Technical Analysis of CVE-2023-50919
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2023-50919 CVSS Score: 9.8
The vulnerability in question is an authentication bypass issue affecting GL.iNet devices. The CVSS score of 9.8 indicates a critical severity level, suggesting that successful exploitation could lead to significant impacts such as unauthorized access, data breaches, and potential remote command execution.
2. Potential Attack Vectors and Exploitation Methods
The vulnerability involves an NGINX authentication bypass via Lua string pattern matching. This means that an attacker could potentially bypass the authentication mechanisms by crafting specific input patterns that exploit weaknesses in the Lua scripting logic used by NGINX.
Potential Attack Vectors:
- Unauthenticated Access: An attacker could gain unauthorized access to the device's administrative interface.
- Remote Command Execution: Once authenticated, the attacker could execute arbitrary commands on the device, leading to further compromise.
- Data Exfiltration: Sensitive information stored on the device could be accessed and exfiltrated.
Exploitation Methods:
- Crafted Inputs: Attackers could use specially crafted input strings to bypass the Lua pattern matching logic.
- Automated Scripts: Exploitation scripts could be developed to automate the process of bypassing authentication and executing commands.
3. Affected Systems and Software Versions
The vulnerability affects the following GL.iNet devices and software versions:
- A1300 4.4.6
- AX1800 4.4.6
- AXT1800 4.4.6
- MT3000 4.4.6
- MT2500 4.4.6
- MT6000 4.5.0
- MT1300 4.3.7
- MT300N-V2 4.3.7
- AR750S 4.3.7
- AR750 4.3.7
- AR300M 4.3.7
- B1300 4.3.7
4. Recommended Mitigation Strategies
Immediate Actions:
- Update Firmware: Ensure all affected devices are updated to version 4.5.0 or later, which includes the patch for this vulnerability.
- Network Segmentation: Isolate affected devices from critical network segments to limit potential lateral movement.
- Monitoring: Implement enhanced monitoring for suspicious activities on the affected devices.
Long-Term Strategies:
- Regular Patching: Establish a regular patching schedule to ensure all devices are up-to-date with the latest security patches.
- Access Controls: Implement strict access controls and multi-factor authentication (MFA) where possible.
- Security Audits: Conduct regular security audits and vulnerability assessments to identify and mitigate potential risks.
5. Impact on Cybersecurity Landscape
The discovery of this vulnerability highlights the importance of securing IoT devices, which are increasingly becoming targets for cyber attacks. The potential for unauthenticated remote command execution underscores the need for robust security measures in IoT ecosystems. This vulnerability also serves as a reminder for organizations to prioritize patch management and regular security assessments.
6. Technical Details for Security Professionals
Vulnerability Details:
- Type: Authentication Bypass
- Mechanism: NGINX Lua string pattern matching flaw
- Impact: Unauthorized access, potential remote command execution
Exploitation Steps:
- Identify Target: Identify GL.iNet devices running vulnerable firmware versions.
- Craft Input: Develop input strings that exploit the Lua pattern matching flaw.
- Bypass Authentication: Use the crafted input to bypass authentication mechanisms.
- Execute Commands: Once authenticated, execute arbitrary commands on the device.
Detection and Response:
- Log Analysis: Analyze logs for unusual authentication attempts and command executions.
- Intrusion Detection: Implement intrusion detection systems (IDS) to monitor for suspicious activities.
- Incident Response: Develop an incident response plan to quickly address any detected exploitation attempts.
References:
By addressing this vulnerability promptly and implementing robust security measures, organizations can mitigate the risks associated with CVE-2023-50919 and enhance their overall cybersecurity posture.