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Python: Pen Testing AWS

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Malcolm Shore

1:51:48

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  • 001 Using Python to test for cloud deployment weaknesses through pen testing.mp4
    00:50
  • 002 What you need to know.mp4
    00:31
  • 001 Understanding AWS.mp4
    05:00
  • 002 Rules for pen testing AWS.mp4
    02:00
  • 003 Setting up an AWS account.mp4
    06:17
  • 004 Provisioning an AWS resource.mp4
    03:04
  • 005 Setting up the Windows Subsystem for Linux.mp4
    02:19
  • 006 AWS Command Line Interface.mp4
    03:31
  • 007 Automating cloud deployments with Terraform.mp4
    02:27
  • 001 Understanding the CloudGoat testing paradigm.mp4
    03:05
  • 002 Installing CloudGoat.mp4
    02:07
  • 003 Launching CloudGoat scenarios.mp4
    02:29
  • 004 Listing the user policy.mp4
    02:50
  • 005 Gaining privileges by changing policies.mp4
    02:27
  • 006 Exploiting a misconfigured server.mp4
    04:22
  • 007 Closing down a CloudGoat scenario.mp4
    00:37
  • 001 Taking a first look at the Python boto3 AWS library.mp4
    03:19
  • 002 Enumerating policies.mp4
    02:04
  • 003 Adding sessions to your Python scripts.mp4
    02:06
  • 004 Checking for guards.mp4
    02:38
  • 005 Managing IAM programmatically.mp4
    02:44
  • 006 Creating users programmatically.mp4
    02:28
  • 007 Managing secrets using Python.mp4
    03:42
  • 008 Listing all EC2 instances.mp4
    07:06
  • 009 Listing all RDS instances.mp4
    03:36
  • 010 Challenge.mp4
    01:15
  • 011 Solution.mp4
    00:42
  • 001 The Python AWS Trace Enumerator.mp4
    04:06
  • 002 Looking inside Pate.mp4
    06:04
  • 003 Challenge.mp4
    01:17
  • 004 Solution.mp4
    01:01
  • 001 Looking at a weird Python script.mp4
    04:39
  • 002 The PACU pen testing framework.mp4
    01:41
  • 003 Navigating the PACU console.mp4
    03:40
  • 004 Exploring PACU test modules.mp4
    01:52
  • 005 Account privilege escalation.mp4
    02:36
  • 006 Deploying the ec2 ssrf scenario.mp4
    00:49
  • 007 Pen testing Lambda with PACU.mp4
    06:33
  • 008 Cleaning up your cloud.mp4
    01:06
  • 001 Whats next .mp4
    00:48
  • Description


    Pen testing is a standard technique for on-site systems, but the way testing is carried out in the cloud is different. This course explores the different types of vulnerabilities in the cloud, the techniques used to test cloud deployments, and key open-source tools for testing Amazon Web Service deployments: CloudGoat, the AWS CLI, and the AWS Python Software Development Kit, known as boto3. Instructor Malcolm Shore shows how to set up your test environment and then use Python to enumerate policies, programmatically create users, manage secrets, list EC2 and RDS instances, and more. He also shows how to get a quick summary of the resources in your AWS account with the PATE tool and use other Python-based testing tools such as PACU. The skills you learn in this course will help you test your AWS deployments for the weaknesses that others will exploit and design your own customs scripts for testing.

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    Malcolm Shore
    Malcolm Shore
    Instructor's Courses
    Wide range of IT experience ranging from systems programming to policy and strategic planning. Strong expertise in applied IT security, focused on policy and governance. Teaching post graduate security (forensics, information warfare, security management, applied cryptography) Past interests include virtual worlds and web3d developments. Current work focusing on Cloud, security architectures, and national-level cybersecurity Specialties: SABSA, Cloud, Cryptography, Cybersecurity Strategy, Network Survivability
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 40
    • duration 1:51:48
    • Release Date 2025/02/11