CVE-2024-40535
CVE-2024-40535
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
Shenzhen Libituo Technology Co., Ltd LBT-T300-T400 v3.2 was discovered to contain a stack overflow via the apn_name_3g parameter in the config_3g_para function.
Comprehensive Technical Analysis of CVE-2024-40535
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-40535
Description: The vulnerability involves a stack overflow in the config_3g_para function of Shenzhen Libituo Technology Co., Ltd LBT-T300-T400 v3.2, specifically through the apn_name_3g parameter.
CVSS Score: 9.8
Severity Evaluation:
- Critical: A CVSS score of 9.8 indicates a critical vulnerability. This high score is likely due to the potential for remote code execution, the ease of exploitation, and the significant impact on confidentiality, integrity, and availability.
- Impact Metrics:
- Confidentiality: High
- Integrity: High
- Availability: High
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Network-Based Attack: An attacker can exploit this vulnerability over the network by sending specially crafted packets to the device.
- Remote Code Execution: The stack overflow can be leveraged to execute arbitrary code on the affected device, leading to full system compromise.
Exploitation Methods:
- Buffer Overflow: By sending a maliciously crafted
apn_name_3gparameter that exceeds the buffer size, an attacker can overwrite adjacent memory, leading to code execution or a denial of service. - Payload Delivery: An attacker can embed a payload within the overflow data to gain control over the device.
3. Affected Systems and Software Versions
Affected Systems:
- Shenzhen Libituo Technology Co., Ltd LBT-T300-T400 devices
Software Versions:
- Version 3.2
Note: It is crucial to verify if other versions are also affected, as similar vulnerabilities might exist in earlier or later versions.
4. Recommended Mitigation Strategies
Immediate Actions:
- Patch Management: Apply the vendor-provided patch as soon as it becomes available.
- Network Segmentation: Isolate affected devices from critical networks to limit the potential impact of an exploit.
- Firewall Rules: Implement strict firewall rules to restrict access to the vulnerable devices.
Long-Term Strategies:
- Regular Updates: Ensure that all devices are regularly updated with the latest security patches.
- Intrusion Detection Systems (IDS): Deploy IDS to monitor for suspicious network activity.
- Security Audits: Conduct regular security audits and vulnerability assessments to identify and mitigate potential threats.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- Device Compromise: Affected devices can be compromised, leading to data breaches, unauthorized access, and potential disruption of services.
- Supply Chain Risks: If these devices are part of a larger supply chain, the vulnerability can have cascading effects on dependent systems.
Long-Term Impact:
- Increased Awareness: This vulnerability highlights the importance of securing IoT devices and the need for robust patch management practices.
- Regulatory Compliance: Organizations may face regulatory scrutiny if they fail to address such critical vulnerabilities promptly.
6. Technical Details for Security Professionals
Vulnerability Details:
- Function:
config_3g_para - Parameter:
apn_name_3g - Issue: Stack overflow due to insufficient bounds checking on the
apn_name_3gparameter.
Exploitation Steps:
- Identify Target: Scan the network to identify devices running the vulnerable software version.
- Craft Payload: Create a payload that exceeds the buffer size of the
apn_name_3gparameter. - Deliver Payload: Send the crafted payload to the target device via the network.
- Gain Control: If successful, the attacker can execute arbitrary code on the device.
Detection and Response:
- Log Analysis: Monitor logs for unusual activity related to the
config_3g_parafunction. - Anomaly Detection: Use anomaly detection tools to identify abnormal network traffic patterns.
- Incident Response: Have a predefined 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-2024-40535 and enhance their overall cybersecurity posture.