What type of analysis is performed to uncover hidden data within a file?

The correct choice is static analysis, which refers to the process of examining the contents of files without executing them. This technique is often utilized in digital forensics and cybersecurity to identify hidden data, such as embedded files, metadata, or other artifacts that may not be readily visible during normal inspection. Static analysis allows investigators to analyze the structure and content of files to reveal information that could be critical to an investigation, such as deleted items or hidden partitions.

In contrast, dynamic analysis involves executing files or programs to observe their behavior in a real-time environment. This approach is useful for identifying actions a program takes while running but may not reveal hidden data that exists within the file itself.

Behavioral analysis focuses on understanding patterns in user behavior or how data processes are carried out over time, which does not specifically target uncovering hidden data within files.

Content analysis involves systematically analyzing the content of documents or files to extract meaning or identify themes, but it is more focused on qualitative assessment than on revealing hidden elements within the data structure.

Overall, static analysis is the most appropriate method for uncovering hidden data within a file due to its direct examination of the file's contents without executing it.