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Web Application Security in Python (WASEC-PY)

Detaillierter Kursinhalt

DAY 1

Cyber security basics

  • What is security?
  • Threat and risk
  • Cyber security threat types
  • Consequences of insecure software

The OWASP Top Ten

  • OWASP Top 10 – 2017
  • A1 – 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
      • Additional considerations
      • Lab – SQL injection best practices
      • Case study – Hacking Fortnite accounts
    • 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
        • Case study – Command injection via ping
      • Script injection
        • Server-side template injection (SSTI)
        • Lab – Template injection
    • General protection best practices
  • A2 – Broken Authentication
    • Authentication basics
    • Multi-factor authentication
    • Authentication weaknesses – spoofing
    • Spoofing on the Web
    • Case study – PayPal 2FA bypass
    • Password management
      • Inbound password management
      • Storing account passwords
      • Password in transit
      • Lab – Is just hashing passwords enough?
      • Dictionary attacks and brute forcing
      • Salting
      • Adaptive hash functions for password storage
      • Password policy
        • NIST authenticator requirements for memorized secrets
      • Case study – The Ashley Madison data breach
        • The dictionary attack
        • The ultimate crack
        • Exploitation and the lessons learned
      • Password database migration
        • (Mis)handling None passwords

DAY 2

The OWASP Top Ten

  • A2 – Broken Authentication
    • Password management
      • Outbound password management
        • Hard coded passwords
        • Best practices
        • Lab – Hardcoded password
        • Protecting sensitive information in memory
          • Challenges in protecting memory
    • Session management
      • Session management essentials
      • Session ID best practices
      • Why do we protect session IDs – Session hijacking
      • Session fixation
      • Session handling in Flask
  • A3 – Sensitive Data Exposure
    • Information exposure
    • Exposure through extracted data and aggregation
    • Case study – Strava data exposure
    • Error and exception handling principles
  • A4 – XML External Entities (XXE)
    • DTD and the entities
    • Entity expansion
    • Lab – Billion laughs attack
    • 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 – Using non-vulnerable parsers
  • A5 – 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
  • A6 – Security Misconfiguration
    • Configuration principles
    • Python configuration best practices
      • Configuring Flask
  • A7 – 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
      • Additional protection layers
      • Client-side protection principles
  • A8 – Insecure Deserialization
    • Serialization and deserialization challenges
    • Deserializing untrusted streams
    • Deserialization with pickle
    • Lab – Deserializing with Pickle
    • PyYAML deserialization challenges
    • Deserialization best practices

DAY 3

The OWASP Top Ten

  • A9 – Using Components with Known Vulnerabilities
    • Using vulnerable components
    • Assessing the environment
    • Hardening
    • Untrusted functionality import
    • Malicious packages in Python
    • Importing JavaScript
    • Lab – Importing JavaScript
    • Case study – The British Airways data breach
    • Vulnerability management
      • Patch management
      • Vulnerability databases
  • A10 – Insufficient Logging & Monitoring
    • Logging and monitoring principles
    • Insufficient logging
    • Plaintext passwords at Facebook
    • Logging best practices
    • Monitoring best practices
  • Web application security beyond the Top Ten
    • Client-side security
    • Same Origin Policy
      • Lab – Same-origin policy demo
      • Tabnabbing
      • Lab – Reverse tabnabbing
    • Frame sandboxing
      • Cross-Frame Scripting (XFS) attack
      • Lab – Clickjacking
      • Clickjacking beyond hijacking a click
      • Clickjacking protection best practices
      • Lab – Using CSP to prevent clickjacking

Common software security weaknesses

  • Input validation
    • Input validation principles
      • Blacklists and whitelists
      • Data validation techniques
      • Lab – Input validation
      • What to validate – the attack surface
      • Where to validate – defense in depth
      • How to validate – validation vs transformations
      • Output sanitization
      • Encoding challenges
      • Lab – Encoding challenges
      • Validation with regex
      • Regular expression denial of service (ReDoS)
      • Lab – Regular expression denial of service (ReDoS)
      • Dealing with ReDoS
    • Files and streams
      • Path traversal
      • Path traversal-related examples
      • Lab – Path traversal
      • Additional challenges in Windows
      • Virtual resources
      • Path traversal best practices
      • Format string issues
    • Unsafe native code
      • Native code dependence
      • Lab – Unsafe native code
      • Best practices for dealing with native code

JSON security

  • JSON injection
  • Dangers of JSONP
  • JSON/JavaScript hijacking
  • Best practices
  • Case study – ReactJS vulnerability in HackerOne

Wrap up

  • Secure coding principles
    • Principles of robust programming by Matt Bishop
    • Secure design principles of Saltzer and Schröder
  • And now what?
    • Software security sources and further reading
    • Python resources