Python for Network Forensics 3.3: Deeper File Properties

The video tutorial covers the process of hashing files using Python, focusing on deeper file properties. It introduces necessary modules like argparse, os, hashlib, and termcolor. The tutorial explains digest computation by breaking files into chunks to manage memory efficiently. A Python application is built to hash files and compare them to known hashes, ensuring file integrity. The application is enhanced for flexibility, allowing users to provide their own hashes or read from files. Practical examples demonstrate hash calculation and comparison, concluding with a preview of parsing system logs in Linux.

Which Python module is used to handle command-line arguments in the file hashing application?

• argparse

• os

• hashlib

• termcolor

Why is it necessary to break a file into chunks during the hashing process?

• To improve the accuracy of the hash

• To reduce the file size

• To avoid loading large files into memory

• To increase the speed of hashing

What is the purpose of the buffer size in the hashing application?

• To set the size of each file chunk

• To determine the number of files to hash

• To specify the output format of the hash

• To limit the memory usage of the application

Which hashing algorithm is used in the example application?

• SHA-256

• MD5

• SHA-1

• SHA-512

What does the 'compare' argument allow the application to do?

• Change the color of the output

• Compare a file's hash to a known hash

• Hash multiple files at once

• Save the hash to a file

How does the application determine if two hashes match?

• By checking the file size

• By comparing the hash values as strings

• By analyzing the file content

• By using a checksum algorithm

What happens if the calculated hash does not match the known hash?

• The application crashes

• The application prints the mismatched hashes in red

• The application retries the hashing process

• The application prints an error message

In the demonstration, what is the purpose of the 'test.sha1' file?

• To hold the known hash value

• To store the original file content

• To save the calculated hash

• To log the application output

What is the result when two identical files have different hashes?

• The files have been modified

• The files are corrupted

• The files are identical

• The files are encrypted

What is the next topic to be covered after file hashing?

• Using databases in Python

• Parsing system logs in Linux

• Encrypting files

• Building a web application