Vulnerability Scanning Techniques in IoT Firmware

The rapid expansion of the Internet of Things (IoT) has heightened concerns regarding its security and integrity, especially when referring to the device’s firmware, which serves as the foundational layer of system operation. Firmware security analysis is a critical component in ensuring the integrity and reliability of Internet of Things (IoT) devices. This paper presents an interactive framework for firmware scanning and analysis, emphasizing entropy-based visualization and data extraction. The proposed tool enables users to compute cryptographic hashes, analyze firmware in fixed-size chunks, and generate entropy maps that help identify compressed, encrypted, or potentially malicious segments. Additionally, printable string extraction assists in uncovering embedded information such as hardcoded credentials or configuration data. This approach provides a lightweight yet effective methodology for static firmware examination, facilitating the detection of anomalies and supporting further vulnerability assessment within IoT ecosystems.