HOME > IT & Software > Python for Automating Information Security

Python for Automating Information Security

SynopsisPython for Automating Information Security, available at $34....
Python for Automating Information Security  No.1

Python for Automating Information Security, available at $34.99, has an average rating of 3.15, with 36 lectures, 7 quizzes, based on 20 reviews, and has 207 subscribers.

You will learn about Read and modify exploit scripts so they can be used in a real penetration test Analyze a packet capture file to look for network traffic anomalies Collect open-source intelligence (OSINT) to speed up the passive-intelligence-gathering phase of a penetration test Analyze a log file for suspicious activity Write a Python replacement for Netcat that can be used for many purposes including obtaining a shell after a successful exploit Collect packets of the wire for use in live network traffic analysis Develop your first penetration-testing tool This course is ideal for individuals who are If you are a security professional, a networking enthusiast, or just plain curious in understanding how networks and packets work internally, then this course is for you! It is particularly useful for If you are a security professional, a networking enthusiast, or just plain curious in understanding how networks and packets work internally, then this course is for you!.

Enroll now: Python for Automating Information Security

Summary

Title: Python for Automating Information Security

Price: $34.99

Average Rating: 3.15

Number of Lectures: 36

Number of Quizzes: 7

Number of Published Lectures: 36

Number of Published Quizzes: 7

Number of Curriculum Items: 43

Number of Published Curriculum Objects: 43

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

  • Read and modify exploit scripts so they can be used in a real penetration test
  • Analyze a packet capture file to look for network traffic anomalies
  • Collect open-source intelligence (OSINT) to speed up the passive-intelligence-gathering phase of a penetration test
  • Analyze a log file for suspicious activity
  • Write a Python replacement for Netcat that can be used for many purposes including obtaining a shell after a successful exploit
  • Collect packets of the wire for use in live network traffic analysis
  • Develop your first penetration-testing tool
  • Who Should Attend

  • If you are a security professional, a networking enthusiast, or just plain curious in understanding how networks and packets work internally, then this course is for you!
  • Target Audiences

  • If you are a security professional, a networking enthusiast, or just plain curious in understanding how networks and packets work internally, then this course is for you!
  • The process of finding and eradicating an attacker is time-consuming and costs a lot, which hurts your organization. You need to write tools that will help you automate your defensive and offensive security. As a penetration tester, you need to evolve quickly. When off-the-shelf tools and exploits fall short, writing your own tool will help you safeguard your data.

    In this course, learn how to leverage Python to perform routine tasks quickly and efficiently. You will automate log analysis and packet analysis with file operations, regular expressions, and analysis modules; interact with websites to collect intelligence; and develop TCP client and server applications for use in penetration testing. You will learn how to build automation tools for information security, and will hopefully find that these examples will help inspire you to design and build your own!

    By the end of this course, you will have the skills and confidence you need to automate both offensive and defensive security techniques using Python; and have developed several small security tools and one large comprehensive penetration testing tool, all of which can be used in the real world.

    About the Author

    Thomas McNeela is an experienced information security professional and continuing-education instructor. Over his nine-year career, he has worked for several companies including Motorola Mobility and U.S. Cellular.

    Thomas specializes in network engineering and security, security assessments, threat intelligence, and automation. He earned a Master of Science (M.S.) degree in Information Systems from Northwestern University and holds many industry-recognized certifications including the CISSP and CEH (Master), and is currently working for information security software and services firm located in the Chicago area.

    Course Curriculum

    Chapter 1: Reading, Modifying, and Testing an Exploit Script

    Lecture 1: The Course Overview

    Lecture 2: Setting Up Your Virtual Environment

    Lecture 3: Finding an Exploit Script

    Lecture 4: Understanding the Script

    Lecture 5: Modifying the Script

    Lecture 6: Testing the Script

    Chapter 2: Analyzing a Packet Capture File

    Lecture 1: Viewing a Packet Capture File in Wireshark

    Lecture 2: Understanding Normal Traffic Patterns

    Lecture 3: Writing a Python Script to Look for Malicious Network Traffic

    Lecture 4: Writing a Python Script to Calculate a Network Traffic Baseline

    Lecture 5: Writing a Python Script to Compare a Baseline Against Network Traffic

    Chapter 3: Gathering Open-Source Intelligence

    Lecture 1: What OSINT Is

    Lecture 2: Enumerating Domain Names with Python

    Lecture 3: What Is Google Dorking

    Lecture 4: Automating Google Dorking with Python

    Lecture 5: Web Directory Enumeration with Python

    Chapter 4: Analyzing a Log File

    Lecture 1: Reading a Log File

    Lecture 2: Understanding Normal Log Messages

    Lecture 3: Writing a Python Script to Look for Logs Indicating Malicious Activity

    Lecture 4: Writing a Python Script to Calculate a Log Message Baseline

    Lecture 5: Writing a Python Script to Compare a Baseline Against a Log File

    Chapter 5: Writing a Python Replacement for Netcat

    Lecture 1: What Is Netcat?

    Lecture 2: Writing the Input Arguments

    Lecture 3: Writing the Client

    Lecture 4: Writing the Server

    Lecture 5: Testing Your Program

    Chapter 6: Collecting Network Packets Off the Wire

    Lecture 1: Introduction to Passive Network Capture

    Lecture 2: Writing a Python Packet Sniffer

    Lecture 3: Capturing Plain-Text Credentials from Network Packets with Python

    Lecture 4: Introduction to ARP Cache Poisoning

    Lecture 5: Writing a Python ARP Cache Poisoner

    Chapter 7: Building a Penetration Testing Tool

    Lecture 1: Introduction to the Metasploit Framework

    Lecture 2: Writing the Discovery Module

    Lecture 3: Writing the Exploit Framework

    Lecture 4: Stitching It All Together with an Interactive Command Shell

    Lecture 5: Testing MSFPY

    Instructors

  • Python for Automating Information Security  No.2
    Packt Publishing
    Tech Knowledge in Motion
  • Rating Distribution

  • 1 stars: 3 votes
  • 2 stars: 1 votes
  • 3 stars: 5 votes
  • 4 stars: 5 votes
  • 5 stars: 6 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!