EUVD-2023-26738

Comprehensive Technical Analysis of EUVD-2023-26738

1. Vulnerability Assessment and Severity Evaluation

Vulnerability Description: The vulnerability identified in InHand Networks InRouter 302 (prior to version IR302 V3.5.56) and InRouter 615 (prior to version InRouter6XX-S-V2.3.0.r5542) involves the use of insufficiently random values (CWE-330) for MQTT ClientID parameters. This lack of proper randomization can allow an unauthorized user to predict the ClientID, potentially leading to unauthorized access and information disclosure.

Severity Evaluation: The CVSS (Common Vulnerability Scoring System) base score of 10.0 indicates a critical vulnerability. The scoring vector (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:H/A:H) highlights the following:

• Attack Vector (AV:N): Network-based attack.
• Attack Complexity (AC:L): Low complexity required for exploitation.
• Privileges Required (PR:N): No privileges are required.
• User Interaction (UI:N): No user interaction is required.
• Scope (S:C): The vulnerability affects a component that is different from the vulnerable component.
• Confidentiality (C:L): Low impact on confidentiality.
• Integrity (I:H): High impact on integrity.
• Availability (A:H): High impact on availability.

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

• Network-Based Attacks: An attacker can exploit this vulnerability over the network without needing physical access to the devices.
• Predictable ClientID: By calculating or predicting the MQTT ClientID, an attacker can impersonate legitimate devices or gather information about other devices on the same cloud platform.

Exploitation Methods:

• ClientID Prediction: An attacker can analyze the pattern of ClientID generation and predict future values.
• Information Gathering: Once the ClientID is known, the attacker can gather additional information about the devices, potentially leading to further exploitation.
• Device Impersonation: The attacker can use the predicted ClientID to impersonate legitimate devices, leading to unauthorized access and potential data manipulation.

3. Affected Systems and Software Versions

Affected Systems:

• InHand Networks InRouter 302, versions prior to IR302 V3.5.56.
• InHand Networks InRouter 615, versions prior to InRouter6XX-S-V2.3.0.r5542.

Software Versions:

• InRouter 302: All versions before IR302 V3.5.56.
• InRouter 615: All versions before InRouter6XX-S-V2.3.0.r5542.

4. Recommended Mitigation Strategies

Immediate Actions:

• Update Firmware: Upgrade to the latest firmware versions (IR302 V3.5.56 for InRouter 302 and InRouter6XX-S-V2.3.0.r5542 for InRouter 615) to mitigate the vulnerability.
• Network Segmentation: Implement network segmentation to isolate vulnerable devices from critical systems.
• Monitoring: Enhance monitoring and logging to detect any unusual activities related to MQTT communications.

Long-Term Strategies:

• Regular Patch Management: Establish a regular patch management process to ensure all devices are up-to-date.
• Security Audits: Conduct regular security audits and vulnerability assessments to identify and mitigate potential vulnerabilities.
• Access Controls: Implement strict access controls and authentication mechanisms to prevent unauthorized access.

5. Impact on European Cybersecurity Landscape

Regulatory Compliance:

• GDPR: The vulnerability could lead to unauthorized access to personal data, potentially violating GDPR regulations.
• NIS Directive: Organizations operating critical infrastructure must ensure compliance with the NIS Directive, which mandates robust cybersecurity measures.

Industry Impact:

• IoT and Industrial Control Systems: The vulnerability affects IoT devices and industrial control systems, which are critical for various industries such as manufacturing, energy, and healthcare.
• Supply Chain Security: The vulnerability highlights the importance of supply chain security and the need for vendors to implement robust security measures.

6. Technical Details for Security Professionals

Vulnerability Details:

• CWE-330: Use of Insufficiently Random Values.
• MQTT ClientID: The ClientID parameter in MQTT protocol is used to identify each client connecting to the broker. Insufficient randomization of this parameter can lead to predictable values.

Detection and Response:

• Intrusion Detection Systems (IDS): Implement IDS to detect unusual MQTT traffic patterns.
• Log Analysis: Analyze logs for any anomalies in MQTT communications, such as repeated connection attempts with predictable ClientIDs.
• Incident Response Plan: Develop and maintain an incident response plan to quickly address any detected exploitation attempts.

References:

• CISA Advisory: https://www.cisa.gov/uscert/ics/advisories/icsa-23-012-03
• CVE-2023-22601: Additional information on the vulnerability can be found under this CVE identifier.

By addressing this vulnerability promptly and implementing robust security measures, organizations can mitigate the risks associated with EUVD-2023-26738 and enhance their overall cybersecurity posture.