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Cloud application security in Python for AWS

CYDPyCldAWS5d
5 days
On-site or online
Hands-on
Python
Banking and finance
Developer
Instructor-led
Pricing Inquiry Download PDF
labs

36 Labs

case_study

17 Case Studies

Platform

Cloud, Web

Audience

Python developers working on Web applications and AWS

Preparedness

General Python and Web development

Standards and references

OWASP, CWE and Fortify Taxonomy

Group size

12 participants

Outline

  • Cyber security basics
  • The OWASP Top Ten 2021
  • Cloud security
  • Input validation
  • Wrap up

What you will learn

  • Understand cloud security specialties
  • Getting familiar with essential cyber security concepts
  • Understanding how cryptography supports security
  • Learning how to use cryptographic APIs correctly in Python
  • Understanding Web application security issues
  • Detailed analysis of the OWASP Top Ten elements
  • Putting Web application security in the context of Python
  • Going beyond the low hanging fruits
  • Managing vulnerabilities in third party components
  • Learn to deal with cloud infrastructure security
  • Input validation approaches and principles
  • Identify vulnerabilities and their consequences
  • Learn the security best practices in Python

Description

Your cloud application written in Python works as intended, so you are done, right? But did you consider feeding in incorrect values? 16Gbs of data? A null? An apostrophe? Negative numbers, or specifically -1 or -2^31? Because that’s what the bad guys will do – and the list is far from complete.

The cloud has become a critical aspect of online services. No matter which model you’re using (SaaS, PaaS, IaaS), part of your service is now operated by someone else. This may look like a net positive, but it also greatly expands the attack surface and brings in several new risks that may not be obvious. Have you configured all security settings correctly? Are you prepared for supply chain attacks? How can you protect the confidentiality of user data in the cloud? And most importantly: can the bad guys use your exposure to their advantage?

Handling security needs a healthy level of paranoia, and this is what this course provides: a strong emotional engagement by lots of hands-on labs and stories from real life, all to substantially improve code hygiene. Mistakes, consequences, and best practices are our blood, sweat and tears.

The curriculum goes through the common Web application security issues following the OWASP Top Ten but goes far beyond it both in coverage and the details.All this is put in the context of Python, and extended by core programming issues, discussing security pitfalls of the programming language and the AWS cloud platform.

So that you are prepared for the forces of the dark side.

So that nothing unexpected happens.

Nothing.

Table of contents

  • Cyber security basics
    • What is security?
    • Threat and risk
    • Cyber security threat types – the CIA triad
    • Cyber security threat types – the STRIDE model
    • Consequences of insecure software
    • Cloud security basics
      • Cloud infrastructure basics
      • The Cloud Cube Model and Zero Trust Architecture
      • Case study – ChaosDB vulnerability in Azure Cosmos DB
  • The OWASP Top Ten 2021
    • A01 – Broken Access Control
      • Access control basics
      • Failure to restrict URL access
      • Confused deputy
        • Insecure direct object reference (IDOR)
        • Lab – Insecure Direct Object Reference
        • Authorization bypass through user-controlled keys
        • Case study – Authorization bypass on Facebook
        • Lab – Horizontal authorization
      • File upload
        • Unrestricted file upload
        • Good practices
        • Lab – Unrestricted file upload
      • Open redirects and forwards
        • Case study – Hacking Fortnite accounts
        • Case study – Unvalidated redirect at Epic Games
        • Open redirects and forwards – best practices
      • Cross-site Request Forgery (CSRF)
        • Lab – Cross-site Request Forgery
        • CSRF best practices
        • CSRF defense in depth
        • Lab – CSRF protection with tokens
    • A02 – Cryptographic Failures
      • Information exposure
        • Exposure through extracted data and aggregation
        • Case study – Strava data exposure
      • Cryptography for developers
        • Cryptography basics
        • Cryptography in Python
        • Elementary algorithms
          • Random number generation
            • Pseudo random number generators (PRNGs)
            • Cryptographically secure PRNGs
            • Weak PRNGs
            • Using random numbers
            • Lab – Using random numbers in Python
            • Case study – Equifax credit account freeze
          • Hashing
            • Hashing basics
            • Hashing in Python
            • Lab – Hashing in Python
  • The OWASP Top Ten 2021
    • A02 – Cryptographic Failures (continued)
      • Cryptography for developers
        • Confidentiality protection (continued)
          • Confidentiality protection
          • Symmetric encryption
            • Block ciphers
            • Modes of operation
            • Modes of operation and IV – best practices
            • Symmetric encryption in Python
            • Lab – Symmetric encryption in Python
          • Asymmetric encryption
            • The RSA algorithm
              • Using RSA – best practices
              • RSA in Python
          • Combining symmetric and asymmetric algorithms
        • Public Key Infrastructure (PKI)
          • Some further key management challenges
          • Certificates
            • Certificates and PKI
            • X.509 certificates
            • Chain of trust
            • PKI actors and procedures
            • Inappropriate certificate validation
            • PGP – Web of Trust
            • Certificate pinning
            • Certificate revocation
        • Transport security
          • The TLS protocol
            • TLS basics
            • TLS features (changes in v1.3)
            • The handshake in a nutshell (v1.3)
            • TLS best practices
            • HTTP Strict Transport Security (HSTS)
    • A03 – Injection
      • Injection principles
      • Injection attacks
      • SQL injection
        • SQL injection basics
        • Lab – SQL injection
        • Attack techniques
        • Content-based blind SQL injection
        • Time-based blind SQL injection
        • SQL injection best practices
          • Input validation
          • Parameterized queries
          • Lab – Using prepared statements
          • Database defense in depth
          • Case study – Hacking Fortnite accounts
          • SQL injection protection and ORM
      • NoSQL injection
        • NoSQL injection basics
        • NoSQL injection in MongoDB
        • NoSQL injection in DynamoDB
      • Parameter manipulation
        • CRLF injection
      • Code injection
        • Code injection via input()
        • OS command injection
          • Lab – Command injection
          • OS command injection best practices
          • Avoiding command injection with the right APIs
          • Lab – Command injection best practices
          • Case study – Shellshock
          • Lab – Shellshock
  • The OWASP Top Ten 2021
    • A03 – Injection (continued)
      • HTML injection – Cross-site scripting (XSS)
        • Cross-site scripting basics
        • Cross-site scripting types
          • Persistent cross-site scripting
          • Reflected cross-site scripting
          • Client-side (DOM-based) cross-site scripting
        • Lab – Stored XSS
        • Lab – Reflected XSS
        • Case study – XSS in Fortnite accounts
        • XSS protection best practices
          • Protection principles – escaping
          • XSS protection APIs in Python
          • XSS protection in Jinja2
          • Lab – XSS fix / stored
          • Lab – XSS fix / reflected
          • Client-side protection principles
          • Additional protection layers – defense in depth
    • A04 – Insecure Design
      • The STRIDE model of threats
      • Secure design principles of Saltzer and Schroeder
        • Economy of mechanism
        • Fail-safe defaults
        • Complete mediation
        • Open design
        • Separation of privilege
        • Least privilege
        • Least common mechanism
        • Psychological acceptability
      • Client-side security
        • Frame sandboxing
          • Cross-Frame Scripting (XFS) attacks
          • Lab – Clickjacking
          • Clickjacking beyond hijacking a click
          • Clickjacking protection best practices
          • Lab – Using CSP to prevent clickjacking
    • A05 – Security Misconfiguration
      • Configuration principles
      • AWS configuration best practices
        • Common AWS misconfiguration issues
      • Python configuration best practices
        • Configuring Flask
      • Cookie security
        • Cookie attributes
      • XML entities
        • DTD and the entities
        • Entity expansion
        • External Entity Attack (XXE)
          • File inclusion with external entities
          • Server-Side Request Forgery with external entities
          • Lab – External entity attack
          • Case study – XXE vulnerability in SAP Store
          • Preventing XXE
          • Lab – Prohibiting DTD
    • A06 – Vulnerable and Outdated Components
      • Using vulnerable components
      • Assessing the environment
      • Hardening
      • Untrusted functionality import
      • Malicious packages in Python
      • Vulnerability management
    • A07 – Identification and Authentication Failures
      • Authentication
        • Authentication basics
        • Multi-factor authentication (MFA)
        • Case study – PayPal 2FA bypass
      • Identity and access management (IAM)
        • Identity and access management in AWS
        • Groups, roles and credentials
        • Access tokens
  • The OWASP Top Ten 2021
    • A07 – Identification and Authentication Failures (continued)
      • Password management
        • Inbound password management
        • Outbound password management
          • Hard coded passwords
          • Best practices
          • Lab – Hardcoded password
    • A08 – Software and Data Integrity Failures
      • Integrity protection
        • Message Authentication Code (MAC)
          • Calculating HMAC in Python
          • Lab – Calculating MAC in Python
        • Digital signature
          • Digital signature with RSA
          • Elliptic Curve Cryptography
            • ECC basics
            • Digital signature with ECC
          • Digital signature in Python
            • Lab – Digital signature with ECDSA in Python
      • Subresource integrity
        • Importing JavaScript
        • Lab – Importing JavaScript
        • Case study – The British Airways data breach
    • A09 – Security Logging and Monitoring Failures
      • Logging and monitoring principles
      • Logging best practices
      • Detection and monitoring
        • Utilizing AWS monitoring for security
        • Protecting logs
        • The AWS Security Hub
    • A10 – Server-side Request Forgery (SSRF)
      • Server-side Request Forgery (SSRF)
      • Case study – SSRF and the Capital One breach
  • Cloud security
    • AWS security
      • Security considerations
        • AWS and security
        • The AWS shared responsibility model
        • AWS cloud compliance
        • AWS hardening
        • Security tools for AWS
    • Container security
      • Container security concerns
      • Containerization, virtualization and security
      • The attack surface
      • Docker security
        • Docker and security
        • Docker security best practices
        • Lab – Static analysis of Docker images
        • Hardening Docker
      • Kubernetes security
        • The Kubernetes architecture and security
        • Securing Kubernetes hosts
        • Best practices for Kubernetes access control
        • Building secure Kubernetes images
        • Secure deployment of Kubernetes containers
        • Protecting Kubernetes deployments at runtime
        • Case study – Azurescape
  • Cloud security
    • Data security in AWS
    • Policies
    • Protecting data at rest
    • Storing cryptographic keys on AWS
    • Protecting data in transit
    • JSON security
      • JSON validation
      • JSON injection
      • Best practices
      • Case study – ReactJS vulnerability in HackerOne
  • The OWASP Top Ten 2021
    • Web application security beyond the Top Ten
      • Code quality
        • Language elements
          • Using dangerous language elements
          • Using obsolete language elements
          • Portability flaw
          • Security aspects of monkey patching in Python
          • Dangers of compile(), exec() and eval()
      • Denial of service
        • Flooding
        • Resource exhaustion
        • Sustained client engagement
        • Infinite loop
        • Economic Denial of Sustainability (EDoS)
        • Algorithmic complexity issues
          • Regular expression denial of service (ReDoS)
            • Lab – ReDoS
            • Dealing with ReDoS
  • Input validation
    • Input validation principles
    • Denylists and allowlists
    • What to validate – the attack surface
    • Where to validate – defense in depth
    • When to validate – validation vs transformations
    • Output sanitization
    • Encoding challenges
    • Unicode challenges
    • Lab – Encoding challenges
    • Lab – Dealing with Unicode homoglyph attacks
    • Validation with regex
    • Integer handling problems
      • Representing signed numbers
      • Integer visualization
      • Integers in Python
      • Integer overflow
      • Integer overflows in ctypes and numpy
    • Files and streams
      • Path traversal
      • Lab – Path traversal
      • Path traversal-related examples
      • Additional challenges in Windows
      • Virtual resources
      • Path traversal best practices
      • Lab – Path canonicalization
    • Format string issues
    • Unsafe native code
      • Native code dependence
      • Lab – Unsafe native code
      • Best practices for dealing with native code
  • Wrap up
    • Secure coding principles
      • Principles of robust programming by Matt Bishop
    • And now what?
      • Software security sources and further reading
      • Python resources

Pricing

5 days Session Price

3750 EUR / person

  • Live, instructor led classroom training
  • Discussion and insight into the hacker’s mindset
  • Hands-on practice using case studies based on high-profile hacks and live lab exercises
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