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Discover effective solutions for identifying file paths in `Linux` when using `ptrace` and `readlink`. Unravel the complexities of file descriptors and system calls. --- This video is based on the question https://stackoverflow.com/q/77655696/ asked by the user 'Tameris Isamidinova' ( https://stackoverflow.com/u/23086391/ ) and on the answer https://stackoverflow.com/a/77660867/ provided by the user 'Ted Lyngmo' ( https://stackoverflow.com/u/7582247/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Problems with finding out file path via descriptor Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Understanding the Problem When working with file descriptors in Linux, especially while using tools like ptrace, developers often encounter challenges in obtaining the full path of a file associated with a given file descriptor. This issue becomes especially evident when the output from functions like readlink results in cryptic strings, such as pipe:[766279], rather than comprehensible file paths. In this post, we will explore a real-world scenario of trying to find the full path of a file written to by a child process. We'll go over the missteps that can lead to confusion and the adjustments needed to successfully achieve the task. The Challenge Explained Context of the Issue: You might be utilizing ptrace to monitor system calls made by a child process, specifically the write call. However, when attempting to determine where bytes are being written—such as when running a command that echoes text into a .txt file—you unexpectedly find the returned descriptor leading to the wrong format. Primary Goal: To extract a proper path from a file descriptor for further processing. Breaking Down the Solution To correctly obtain the file path using a file descriptor, we need to make sure we're reading from the correct process's file descriptor table. Here’s a step-by-step approach to achieve this. 1. Modify the get_file_path Function The function to recover the file path needs to cater to the child process's file descriptor instead of the current process. Here’s the necessary adjustment: [[See Video to Reveal this Text or Code Snippet]] 2. Update the Call to get_file_path In your main loop where you're tracing the write system call, ensure you call get_file_path with the child's PID: [[See Video to Reveal this Text or Code Snippet]] By passing the PID of the child process, you ensure that you are referencing the correct file descriptor, allowing for the successful retrieval of the file path. 3. Debugging and Enhancements Always ensure that any variables, like char filename[PATH_MAX], are adequately initialized and utilized where required. Consider validating and using data, which is populated from get_file_path, to accurately reflect the captured filename. Implement debug print statements to provide insights into the paths obtained during execution. Conclusion With the adjustments outlined above, you can confidently extract file paths from descriptors while monitoring system calls via ptrace in Linux. Understanding file descriptors and how they relate to processes is crucial for debugging and efficiently managing system resources. Maintain vigilance in ensuring all variables are properly managed, and don’t hesitate to employ debugging tools and print statements to uncover any hidden issues. By applying these solutions, you will significantly simplify the task of file path resolution in your applications, leading to more robust and understandable code.