Covered topics:
- Simulate various attack scenarios
- Perform vulnerability testing using various tools and techniques
- Use bruteforce to automate data mining
- Identify and mitigate attacks with various OWASP projects
- Perform recon and scanning automation to build your own security toolkit
- Find about phishing and fuzzing in Python
- Conduct network forensic analysis and packet analysis
- Work through offensive programming techniques to keep your code clean and precise
Description
Python is used for a lot of applications^ ranging from building web applications and enterprise application to the world of big data. With everyday attacks on applications by hackers^ securing applications has become a critical component for Python developers. Starting with the basics to ensure the fundamentals required for security^ you will gradually move on to automating various web application attacks^ which can then be used by security engineers to perform automated tests. You will mitigate various application security vulnerabilities and explore the defense mechanisms available for developers in Python. You will then learn about the various phases of network security testing that can be automated and how an engineer can simulate various attacks in controlled manner to scan for vulnerabilities. Next^ you will learn how to automate password cracking using Python and focus on fuzzing^ a key concept of exploit writing and protocol analysis. After reading this book^ you will be able to secure your programs and applications and be ready for any kind of spyware and malware.