Penetration Testing with Kali Linux
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move laterally between machines, and pivot to other networks. All of this information is covered
extensively and inside the PWK Modules themselves.
However, the structure of the course enables a second order of learning.
This second layer is
arguably the more important one, though it is much more difficult to quantify. It provides learners
with a framework for how to think, feel, and act in novel scenarios. And since penetration testing
is
about
novel scenarios (i.e. uncertainty), it is critical that we become comfortable orienting them.
PWK contains seven learning modalities:
1.
Learning Modules
2.
Demonstration Module Exercises
3.
Application Module Exercises
4.
Capstone Module Exercises
5.
The Assembling the Pieces Module
6.
Challenge Labs (type one)
7.
Challenge Labs (type two)
We can think about these learning modalities as points along a spectrum, where our uncertainty
about the space we’re operating in
increases
as we progress through the course. Let’s consider
each mode one by one.
2.2.2
Learning Modules
As mentioned above, the text-based Learning Modules all cover specific penetration testing
concepts, techniques, and skills. They are each approximately between 30 and 50 pages in length,
and they are accompanied by videos that go over the same concepts in a visual and interactive
manner. They are logically ordered in a way that allows for progressively
building on top of
previously learned skills.
In our model of uncertainty, they are considered to be
no/low uncertainty
, because the learner only
needs to passively read or watch the content. However, we encourage you to start the relevant
lab machines and follow along by typing the commands and clicking around in the same manner
as demonstrated. This helps you internalize the material.
2.2.3
Demonstration Module Exercises
There are several types of Module exercise. The objective of the first
kind is for the learner to
actually absorb the content by following the demonstration.
This type of exercise asks the learner to either input some factual, knowledge based answer to
the question, or to obtain a randomized flag by copying the exact some commands and input
shown in the course material.
The amount of uncertainty
here is still very low, because the learner can obtain the solution
directly by reading or watching the Module.
For example, the
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