CVE-2024-39801
CVE-2024-39801
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- High
- User Interaction
- None
- Scope
- Changed
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
Multiple buffer overflow vulnerabilities exist in the qos.cgi qos_settings() functionality of Wavlink AC3000 M33A8.V5030.210505. A specially crafted HTTP request can lead to stack-based buffer overflow. An attacker can make an authenticated HTTP request to trigger these vulnerabilities.A buffer overflow vulnerability exists in the `qos_bandwidth` POST parameter.
Comprehensive Technical Analysis of CVE-2024-39801
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-39801 CVSS Score: 9.1
The vulnerability in question is a stack-based buffer overflow in the qos.cgi qos_settings() functionality of the Wavlink AC3000 M33A8.V5030.210505 firmware. This vulnerability is particularly severe due to its high CVSS score of 9.1, indicating a critical risk. The buffer overflow can be triggered by a specially crafted HTTP request, specifically through the qos_bandwidth POST parameter.
Severity Evaluation:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
The high CVSS score reflects the potential for significant damage, including unauthorized access, data corruption, and denial of service.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Authenticated HTTP Request: An attacker with valid credentials can send a malicious HTTP request to the vulnerable endpoint.
- Network Access: The attacker needs network access to the device, which could be achieved through local network access or remote access if the device is exposed to the internet.
Exploitation Methods:
- Crafted HTTP Request: The attacker can craft an HTTP POST request with a malicious
qos_bandwidthparameter that exceeds the buffer size, leading to a stack-based buffer overflow. - Payload Delivery: The buffer overflow can be used to inject malicious code, potentially leading to arbitrary code execution.
3. Affected Systems and Software Versions
Affected Device:
- Wavlink AC3000
Affected Firmware Version:
- M33A8.V5030.210505
It is crucial to note that other versions of the firmware may also be affected if they share the same codebase. Users should verify the vulnerability status of their specific firmware version.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Network Segmentation: Isolate the affected device from critical networks to limit potential damage.
- Access Control: Restrict access to the device to trusted users only.
- Firewall Rules: Implement firewall rules to block unauthorized access to the device.
Long-Term Mitigation:
- Firmware Update: Apply the latest firmware update provided by the vendor as soon as it becomes available.
- Regular Audits: Conduct regular security audits and vulnerability assessments to identify and mitigate similar issues.
- Intrusion Detection: Deploy intrusion detection systems (IDS) to monitor for suspicious activity.
5. Impact on Cybersecurity Landscape
The discovery of this vulnerability highlights the ongoing challenge of securing IoT devices, particularly those used in home and small business environments. The high CVSS score underscores the potential for significant impact, including:
- Widespread Exploitation: If left unpatched, this vulnerability could be exploited on a large scale, affecting numerous users.
- Reputation Damage: Vendors must prioritize security to maintain consumer trust and avoid reputational damage.
- Regulatory Compliance: Organizations must ensure compliance with relevant regulations and standards to protect against such vulnerabilities.
6. Technical Details for Security Professionals
Vulnerability Details:
- Functionality Affected:
qos.cgiqos_settings() - Parameter:
qos_bandwidth - Type of Vulnerability: Stack-based buffer overflow
Exploitation Steps:
- Authentication: Obtain valid credentials for the device.
- Crafted Request: Create an HTTP POST request with a malicious
qos_bandwidthparameter. - Execution: Send the request to the vulnerable endpoint, triggering the buffer overflow.
Detection and Response:
- Log Analysis: Monitor logs for unusual HTTP requests to the
qos.cgiendpoint. - Anomaly Detection: Use anomaly detection tools to identify abnormal traffic patterns.
- Incident Response: Have an incident response plan in place to quickly address any detected exploitation attempts.
References:
By addressing this vulnerability promptly and implementing robust security measures, organizations can mitigate the risk and protect their networks from potential exploitation.