IoTHackBot automates vulnerability discovery in IoT devices, IP cameras, and embedded systems. Security teams use it to identify and mitigate risks in hybrid IoT environments. It integrates with Claude Code skills and Python-based tools for comprehensive security testing.
git clone https://github.com/BrownFineSecurity/iothackbot.gitThe iothackbot is a specialized Claude Code skill designed to streamline hybrid IoT penetration testing. This skill provides a comprehensive suite of tools and capabilities for automating the discovery of ONVIF devices on a network, enabling users to identify potential security risks efficiently. By leveraging advanced techniques such as authentication bypass testing and credential brute-forcing, iothackbot empowers security professionals to uncover vulnerabilities in IoT devices quickly and effectively. One of the key benefits of using iothackbot is the significant time savings it offers in the realm of IoT security assessments. With an estimated implementation time of just 30 minutes, users can rapidly deploy this skill and begin automating complex tasks such as analyzing network traffic for IoT protocols and extracting firmware from devices. This not only accelerates the testing process but also enhances the overall effectiveness of security measures by allowing for real-time vulnerability detection. Developers, product managers, and AI practitioners involved in IoT security will find iothackbot particularly beneficial. Its intermediate complexity level makes it accessible for those with a foundational understanding of IoT systems and security testing. The skill is designed to fit seamlessly into AI-first workflows, enabling teams to integrate automation into their existing security protocols and enhance their overall operational efficiency. Practical use cases for iothackbot include automating the identification of ONVIF devices, performing hardware testing via UART or telnet, and analyzing firmware for malicious code. These capabilities make it an invaluable tool for security teams looking to bolster their defenses against emerging IoT threats. With its focus on automation and efficiency, iothackbot is a crucial addition for anyone looking to enhance their IoT security posture.
Automate the discovery of ONVIF devices on a network to identify potential security risks.
Perform authentication bypass testing and credential brute-forcing on ONVIF devices.
Analyze network traffic for IoT protocols to detect vulnerabilities in real-time.
Extract and analyze firmware from IoT devices to identify malicious code or vulnerabilities.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/BrownFineSecurity/iothackbotCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I need help with IoT security testing for [COMPANY]'s [INDUSTRY] devices. Can you provide insights on how to conduct a penetration test using IoTHackBot on [DATA]?
## IoT Security Testing Report ### Overview The penetration test for **SmartHome Inc.'s** home automation system revealed several vulnerabilities. The devices tested included: - Smart Thermostat - IP Security Camera ### Findings 1. **Weak Passwords**: The default credentials were found on the Smart Thermostat, allowing unauthorized access. 2. **Unencrypted Communication**: The IP Security Camera transmitted data without encryption, making it susceptible to eavesdropping. ### Recommendations - Change default passwords and implement a strong password policy. - Utilize TLS for data transmission to secure communication channels.
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