Description
Connected IO v2.1.0 and prior uses a hard-coded username/password pair embedded in their device's firmware used for device communication using MQTT. An attacker who gained access to these credentials is able to connect to the MQTT broker and send messages on behalf of devices, impersonating them. in order to sign and verify JWT session tokens, allowing attackers to sign arbitrary session tokens and bypass authentication.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2023-37535
1. Vulnerability Assessment and Severity Evaluation
Vulnerability Description: The vulnerability in Connected IO v2.1.0 and prior versions involves the use of hard-coded username/password pairs embedded in the device's firmware. These credentials are used for device communication via the MQTT protocol. An attacker who gains access to these credentials can connect to the MQTT broker, send messages on behalf of devices, and impersonate them. Additionally, the vulnerability allows attackers to sign and verify JWT session tokens, enabling them to sign arbitrary session tokens and bypass authentication.
Severity Evaluation:
The vulnerability has a CVSS Base Score of 9.8, which is considered critical. The CVSS vector CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H indicates the following:
- Attack Vector (AV): Network (N)
- Attack Complexity (AC): Low (L)
- Privileges Required (PR): None (N)
- User Interaction (UI): None (N)
- Scope (S): Unchanged (U)
- Confidentiality (C): High (H)
- Integrity (I): High (H)
- Availability (A): High (H)
This high severity score underscores the critical nature of the vulnerability, which can lead to significant impacts on confidentiality, integrity, and availability.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Network-Based Attacks: Given the network attack vector, an attacker can exploit this vulnerability remotely without needing physical access to the device.
- Credential Extraction: An attacker can extract the hard-coded credentials from the firmware, which can be done through reverse engineering or firmware analysis.
- MQTT Broker Access: With the extracted credentials, an attacker can connect to the MQTT broker and send malicious messages, impersonating legitimate devices.
- JWT Token Manipulation: The attacker can sign arbitrary JWT session tokens, bypassing authentication mechanisms and gaining unauthorized access to the system.
Exploitation Methods:
- Firmware Analysis: Using tools like Ghidra or IDA Pro to analyze the firmware and extract the hard-coded credentials.
- MQTT Client Tools: Utilizing MQTT client tools like MQTT.fx or Mosquitto to connect to the MQTT broker using the extracted credentials.
- JWT Token Generation: Using libraries like PyJWT or jwt.io to generate and sign arbitrary JWT tokens.
3. Affected Systems and Software Versions
Affected Systems:
- Connected IO devices running firmware versions v2.1.0 and prior.
Software Versions:
- All versions up to and including v2.1.0.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Firmware Update: Upgrade to a patched version of the firmware that removes hard-coded credentials and implements secure authentication mechanisms.
- Network Segmentation: Isolate affected devices on a separate network segment to limit potential attack vectors.
- Credential Management: Implement strong, unique credentials for device communication and ensure they are not hard-coded in the firmware.
- Monitoring and Logging: Enable comprehensive logging and monitoring of MQTT traffic to detect and respond to suspicious activities.
Long-Term Mitigation:
- Secure Coding Practices: Adopt secure coding practices to avoid hard-coding sensitive information in firmware.
- Regular Audits: Conduct regular security audits and vulnerability assessments of firmware and device configurations.
- Authentication Mechanisms: Implement robust authentication mechanisms, such as mutual TLS (mTLS) for MQTT communications.
5. Impact on European Cybersecurity Landscape
The vulnerability poses a significant risk to the European cybersecurity landscape, particularly in sectors that rely on IoT devices for critical operations, such as industrial control systems, smart cities, and healthcare. The potential for unauthorized access and manipulation of device communications can lead to severe disruptions and data breaches, impacting both public and private sectors.
6. Technical Details for Security Professionals
Firmware Analysis:
- Tools: Ghidra, IDA Pro, Binwalk
- Process: Extract the firmware image, analyze the binary for hard-coded credentials, and identify the MQTT communication protocols.
MQTT Broker Access:
- Tools: MQTT.fx, Mosquitto
- Process: Connect to the MQTT broker using the extracted credentials, monitor traffic, and send test messages to verify connectivity.
JWT Token Manipulation:
- Tools: PyJWT, jwt.io
- Process: Generate and sign JWT tokens using the extracted credentials, test the tokens for authentication bypass.
Detection and Response:
- Tools: SIEM systems, network monitoring tools, intrusion detection systems (IDS)
- Process: Implement rules to detect unauthorized MQTT traffic, monitor for unusual JWT token activities, and respond to incidents promptly.
Conclusion: The vulnerability in Connected IO devices highlights the critical importance of secure firmware development and robust authentication mechanisms in IoT devices. Organizations must prioritize firmware updates, implement strong security controls, and conduct regular audits to mitigate such risks effectively. The European cybersecurity landscape must adopt a proactive approach to address vulnerabilities in IoT devices to ensure resilience against emerging threats.