CVE-2024-39227
CVE-2024-39227
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
GL-iNet products AR750/AR750S/AR300M/AR300M16/MT300N-V2/B1300/MT1300/SFT1200/X750 v4.3.11, MT3000/MT2500/AXT1800/AX1800/A1300/X300B v4.5.16, XE300 v4.3.16, E750 v4.3.12, AP1300/S1300 v4.3.13, and XE3000/X3000 v4.4 were discovered to contain insecure permissions in the endpoint /cgi-bin/glc. This vulnerability allows unauthenticated attackers to execute arbitrary code or possibly a directory traversal via crafted JSON data.
Comprehensive Technical Analysis of CVE-2024-39227
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-39227 CVSS Score: 9.8
The vulnerability in GL-iNet products, specifically in the endpoint /cgi-bin/glc, involves insecure permissions that allow unauthenticated attackers to execute arbitrary code or perform directory traversal via crafted JSON data. The CVSS score of 9.8 indicates a critical severity level, highlighting the potential for significant impact if exploited.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Unauthenticated Access: Attackers can exploit the vulnerability without needing any credentials, making it highly accessible.
- Arbitrary Code Execution: By sending crafted JSON data to the vulnerable endpoint, attackers can execute arbitrary code on the affected device.
- Directory Traversal: Attackers can manipulate file paths to access unauthorized directories and files, potentially leading to data leakage or system compromise.
Exploitation Methods:
- Crafted JSON Data: Attackers can send specially crafted JSON payloads to the
/cgi-bin/glcendpoint to exploit the vulnerability. - Automated Scripts: Attackers may use automated scripts to scan for vulnerable devices and exploit them en masse.
3. Affected Systems and Software Versions
The vulnerability affects the following GL-iNet products and versions:
- AR750/AR750S/AR300M/AR300M16/MT300N-V2/B1300/MT1300/SFT1200/X750 v4.3.11
- MT3000/MT2500/AXT1800/AX1800/A1300/X300B v4.5.16
- XE300 v4.3.16
- E750 v4.3.12
- AP1300/S1300 v4.3.13
- XE3000/X3000 v4.4
4. Recommended Mitigation Strategies
Immediate Actions:
- Patch Management: Apply the latest firmware updates provided by GL-iNet to mitigate the vulnerability.
- Network Segmentation: Isolate affected devices from critical networks to limit potential damage.
- Access Control: Implement strict access controls and firewall rules to restrict access to the vulnerable endpoint.
Long-Term Strategies:
- Regular Audits: Conduct regular security audits and vulnerability assessments to identify and address similar issues.
- Intrusion Detection: Deploy intrusion detection systems (IDS) to monitor for suspicious activity targeting the vulnerable endpoint.
- User Education: Educate users on the importance of keeping firmware up-to-date and the risks associated with unpatched devices.
5. Impact on Cybersecurity Landscape
The discovery of CVE-2024-39227 underscores the importance of securing IoT devices, which are increasingly targeted by attackers due to their widespread deployment and often lax security measures. This vulnerability highlights the need for:
- Enhanced IoT Security: Manufacturers must prioritize security in the design and development of IoT devices.
- Proactive Patching: Organizations must adopt proactive patching strategies to mitigate risks associated with vulnerabilities.
- Collaborative Efforts: The cybersecurity community must collaborate to share threat intelligence and develop best practices for securing IoT ecosystems.
6. Technical Details for Security Professionals
Vulnerability Details:
- Endpoint:
/cgi-bin/glc - Exploit Type: Insecure permissions leading to arbitrary code execution and directory traversal.
- Payload: Crafted JSON data sent to the vulnerable endpoint.
Detection and Response:
- Log Analysis: Monitor logs for unusual activity targeting the
/cgi-bin/glcendpoint. - Behavioral Analysis: Use behavioral analysis tools to detect anomalous behavior indicative of exploitation attempts.
- Incident Response: Develop and implement an incident response plan to quickly address and mitigate any detected exploitation attempts.
References:
By addressing this vulnerability promptly and comprehensively, organizations can significantly reduce the risk of exploitation and enhance their overall cybersecurity posture.