[NOTE] This is an invite-only event and the registration form provided below needs to be filled up, all selected participants will receive confirmation mail 24 hours prior to the event. You must carry the confirmation email to the venue. We are proud to announce December meetup discussing about why Python is important in security. Learning, organized by Women Techmakers Baroda & Google Developers Group Baroda. Speaker: Aashee Shrivastava Aashee Shrivastava is pursuing Computer Science Engineering from Parul University. She has worked on many mini projects like developing an application that can scan viruses using java, created a Google extension for the same. Passionate about learning how vulnerable our system are and the way in which we can secure them. We will be creating few tools and will also find and remove meta data, and will collect details about computer system on network and services running on its open ports . Laptop and internet is required as this is a workshop session. REGISTRATION LINK: https://forms.gle/do7eiJxMYZjQJaxi6 If you have not received the invitation email from our side, your entry would still be considered invalid. Women Techmakers Baroda is a female empowering & technology focused community in Baroda region which provides a platform for developers, enthusiasts, professionals & learners to collaborate, learn & share. We encourage women in technology via our Women Techmakers initiative. Want to know more? Join us here: https://bit.ly/gdgbaroda_slack
Contents:
1.Intro to python:- functions of python that play role in penetration testing
Basic concepts of python to advance script with focus on networking and security
2. Why is python important for security?
3. Banner grabbing:- developing a banner grabber with python
4. Nmap:- using nmap in python, nmap methods, creating nmap port scanner
5. Brute force password cracker .
6. Using pygeoIP to correlate ip to physical location
7. Finding meta data in image:- extracting meta data from image with python imaging library
8. Editing n removing meta data in image using python n pyexiv2 library.
