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Because of the power and flexibility offered by it, Python has become one of the most popular languages used for penetration testing. All topics in this course have been covered in individual modules so that you develop your skill after the completion of a module and get ready for the next. Through this comprehensive course, you’ll learn how to use Python for pentesting techniques from scratch to finish! The first module takes a radically different approach to teaching both penetration testing and scripting with Python, instead of highlighting how to create scripts that do the same thing as the current tools in the market, or highlighting specific types of exploits that can be written.

A proof of concept is just that; you are proving the existence of an exception to a secure state through exploitation. So, each identified finding should include a screen capture related to the activity conducted, such as weak passwords, exploited systems, and critical data accessed. Just like the security findings identified in the organization, any positive findings need to be noted and described. The positive findings help to tell an organization what has actually impacted a simulated malicious actor.

The status meeting should cover what the assessor has done, what they plan to do, and any deviations noted for the timeline that could impact the final report delivery. Related to product and final report delivery, there has to be a secure method to deliver the details of the engagement. The balance here comes from the following factors, the client's capabilities and knowledge level, the solutions available to the assessment team, how secure the data can be made, and the client's abilities and requests.

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