CVE-2025-5408
CVE-2025-5408
CVSS Vector
v4.0- Attack Vector
- Network
- Attack Complexity
- Low
- Attack Requirements
- None
- Privileges Required
- None
- User Interaction
- None
- Confidentiality (Vulnerable)
- High
- Integrity (Vulnerable)
- High
- Availability (Vulnerable)
- High
- Confidentiality (Subsequent)
- None
- Integrity (Subsequent)
- None
- Availability (Subsequent)
- None
Description
A vulnerability was found in WAVLINK QUANTUM D2G, QUANTUM D3G, WL-WN530G3A, WL-WN530HG3, WL-WN532A3 and WL-WN576K1 up to V1410_240222 and classified as critical. Affected by this issue is the function sys_login of the file /cgi-bin/login.cgi of the component HTTP POST Request Handler. The manipulation of the argument login_page leads to buffer overflow. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
Comprehensive Technical Analysis of CVE-2025-5408
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2025-5408 CVSS Score: 9.8 Severity: Critical
The vulnerability in WAVLINK devices, specifically in the sys_login function of the /cgi-bin/login.cgi file, allows for a buffer overflow through the manipulation of the login_page argument. This vulnerability is classified as critical due to its high CVSS score of 9.8, indicating a severe risk to affected systems. The vulnerability can be exploited remotely, making it particularly dangerous as it does not require physical access to the device.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Remote Exploitation: An attacker can send a specially crafted HTTP POST request to the vulnerable endpoint, causing a buffer overflow.
- Network-Based Attacks: Given the nature of the vulnerability, it can be exploited over the network, making it a prime target for automated scanning and exploitation tools.
Exploitation Methods:
- Buffer Overflow: By sending a maliciously crafted
login_pageargument, an attacker can overwrite adjacent memory, potentially leading to arbitrary code execution. - Denial of Service (DoS): The buffer overflow can also cause the device to crash, resulting in a denial of service.
3. Affected Systems and Software Versions
Affected Devices:
- WAVLINK QUANTUM D2G
- WAVLINK QUANTUM D3G
- WAVLINK WL-WN530G3A
- WAVLINK WL-WN530HG3
- WAVLINK WL-WN532A3
- WAVLINK WL-WN576K1
Affected Firmware Versions:
- Up to V1410_240222
4. Recommended Mitigation Strategies
Immediate Actions:
- Network Segmentation: Isolate affected devices from critical networks to limit potential damage.
- Firewall Rules: Implement strict firewall rules to block unauthorized access to the vulnerable endpoint.
- Monitoring: Increase monitoring of network traffic to detect and respond to suspicious activities.
Long-Term Solutions:
- Firmware Update: Apply any available firmware updates from the vendor once they are released.
- Patch Management: Implement a robust patch management process to ensure timely updates.
- Intrusion Detection Systems (IDS): Deploy IDS to detect and alert on potential exploitation attempts.
5. Impact on Cybersecurity Landscape
The disclosure of this vulnerability highlights the ongoing challenge of securing IoT devices, which are often deployed in large numbers and can be difficult to patch. The public disclosure and lack of vendor response exacerbate the risk, as attackers can exploit the vulnerability without fear of immediate mitigation. This underscores the need for proactive security measures and better vendor-customer communication in the IoT space.
6. Technical Details for Security Professionals
Vulnerability Details:
- Component: HTTP POST Request Handler
- Function:
sys_login - File:
/cgi-bin/login.cgi - Argument:
login_page
Exploitation Steps:
- Craft Malicious Request: Create an HTTP POST request with a specially crafted
login_pageargument designed to overflow the buffer. - Send Request: Transmit the request to the vulnerable endpoint.
- Exploit Impact: Observe the impact, which could range from a crash to arbitrary code execution.
Detection and Response:
- Log Analysis: Review HTTP logs for unusual POST requests to the
/cgi-bin/login.cgiendpoint. - Behavioral Analysis: Monitor for unexpected device behavior, such as crashes or unusual network traffic.
- Incident Response: Have a predefined incident response plan to quickly address any detected exploitation attempts.
References:
By addressing this vulnerability promptly and comprehensively, organizations can mitigate the risk of exploitation and ensure the security of their networked devices.