This topic contains 1 reply, has 2 voices, and was last updated by ThreshingBee 1 month, 3 weeks ago.
- February 27, 2021 at 10:08 am #367329
Just wanted to get your inputs on this. Yes, I already googled this question. I am posting here to get your inputs.
Also, how can I see the details of a library? For instance, where can I see the details of the Request library?
Edit: I want to change my question to:
What python library do you love the most? Why?
- February 27, 2021 at 10:08 am #367336
- February 27, 2021 at 10:08 am #367337
A mix of hashlib (hashing stuff or cracking hashes), pandas (formatting/processing data) subprocess (calling commands), re (regex stuff), argparse (for passing args into the script from terminal), beautifulsoup (occasionally for grabbing down webpage data)
- February 27, 2021 at 10:08 am #367338
I’ve found selenium to be useful.
- February 27, 2021 at 10:08 am #367339
Seriously, it’s like kali linux over and over again… Tools are tools, every dependency, every default method, use what you know, learn what you don’t.
I love mitmproxy btw c:
- February 27, 2021 at 10:08 am #367334
Since you rephrased the question let me suggest a few I use all the time (but I’m a blue team professional):
Xonsh is life changing.
- February 27, 2021 at 10:08 am #367335
Recently used [Scapy](https://scapy.net/) during a pentest to create custom packets to test how a device responded. Can’t say I enjoyed my time with it nor was the documentation very good, but it worked for what we needed.
- February 27, 2021 at 10:08 am #367332
Socket is the only thing I use for “hack” per say
- February 27, 2021 at 10:08 am #367333
impacket is probably the most powerful one for windows domain env.
- February 27, 2021 at 10:08 am #367331
- February 27, 2021 at 10:08 am #367330
The topics you want are Python for Network Engineers, Python for Network Automation, etc. Here is one I’ve seen before:
[Top 5 Python Libraries for Network Automation](https://www.youtube.com/watch?v=x0yD5pEZ_-g)
But, generally, my main suggestion is don’t “hey Google what’s the best Python for hacking”, it’s to learn what actually needs done and then track what’s needed.
Another thing is when a video like that describes something being an abstraction layer on another library (Netmiko on Paramiko), also research the latter for cases where it’s direct use could be more beneficial.
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