< Back to catalog

Secure coding in Python with Claude Code

CYDPyWeb3dClaude
3 days
On-site or online
Hands-on
Python
Developer
Instructor-led
Pricing Inquiry Download PDF
labs

29 Labs

case_study

18 Case Studies

Platform

Claude Code, Generative AI, Web

Audience

Python developers using Claude Code

Preparedness

General Python and Web development

Standards and references

OWASP, CWE and Fortify Taxonomy

Group size

12 participants

Outline

  • Coding responsibly with Claude Code
  • The OWASP Top Ten from Claude Code's perspective
  • Wrap up

What you will learn

  • Understanding the essentials of responsible AI
  • Getting familiar with essential cyber security concepts
  • 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
  • Input validation approaches and principles
  • All this put into the context of Claude Code

Description

Claude Code is transforming the way developers interact with software projects, enabling AI-assisted development directly within the development environment. Its ability to understand codebases, modify files, run commands, and assist with complex development tasks can significantly improve developer productivity. At the same time, giving an AI tool a deeper role in the development process introduces important security and quality considerations, requiring developers to use it responsibly.

This course provides a comprehensive insight into the responsible use of Claude Code for secure software development. Participants explore how AI-assisted development can affect security-critical areas such as authentication, authorization, cryptography, input validation, and secure handling of sensitive data. The curriculum also examines how Claude Code approaches secure coding practices and common vulnerabilities from the OWASP Top Ten, including path traversal, SQL injection, and cross-site scripting.

Through hands-on exercises and experimentation with Claude Code, participants gain a practical understanding of both its capabilities and limitations. They learn how to critically review AI-generated and AI-modified code, identify security weaknesses that may be introduced or overlooked, and use AI assistance without surrendering control over important development and security decisions. Real-world case studies illustrate the potential consequences of insecure AI-assisted development and the dual role of AI as both a powerful development resource and a potential security risk.

By the end of the course, developers will be equipped with the knowledge and practical skills to use Claude Code responsibly throughout the software development lifecycle, taking advantage of AI-assisted development while maintaining appropriate security, code quality, and developer oversight.

Table of contents

  • Coding responsibly with Claude Code
  • The OWASP Top Ten from Claude Code’s perspective
    • The OWASP Top Ten 2025
    • A01 – Broken Access Control
      • Access control basics
      • Case study – Broken authz in FIFA platform during 2026 World Cup
      • Confused deputy
        • Insecure direct object reference (IDOR)
        • Path traversal
        • Lab – Insecure Direct Object Reference
        • Path traversal best practices
        • Lab – Experimenting with path traversal in Claude Code
        • Authorization bypass through user-controlled keys
        • Case study – Remote takeover of Nexx garage doors and alarms
        • Lab – Horizontal authorization
      • File upload
        • Unrestricted file upload
        • Good practices
        • Lab – Unrestricted file upload
      • Server-side Request Forgery (SSRF)
        • Case study – SSRF in Ivanti Connect Secure
    • A02 – Security Misconfiguration
      • Configuration principles
      • Python configuration best practices
        • Configuring Flask
      • Web security configuration issues
        • Content Security Policy
        • Fetch directives
        • Source allowlisting
        • Strict CSP: using nonces and hashes
        • CSP best practices
      • Cookie security
        • Cookie attributes
      • Secrets management
        • Hard coded passwords
        • Best practices
        • Lab – Hardcoded password
      • 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
          • Preventing XXE
          • Lab – Prohibiting DTD
          • Case study – XXE vulnerability in Ivanti products
          • Lab – Experimenting with XXE in Claude Code
  • The OWASP Top Ten from Claude Code’s perspective
    • A03 – Software Supply Chain Failures
      • Using vulnerable components
      • Assessing the environment
      • Hardening
      • Untrusted functionality import
      • Malicious packages in Python
      • Supply chain security and the Software Bill of Materials (SBOM)
      • SBOM examples
      • Case study – The Polyfill.io supply chain attack
      • Vulnerability management
      • Security of AI generated code
        • Practical attacks against code generation tools
        • Dependency hallucination via generative AI
        • Case study – Agentic coding and code security (mid-2025 onward)
    • A05 – Injection
      • Input validation
        • Input validation principles
        • Denylists and allowlists
        • Case study – Denylist failure in urllib.parse.urlparse()
        • What to validate – the attack surface
        • Where to validate – defense in depth
        • When to validate – validation vs transformations
      • 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
          • Case study – SQL injection against US airport security
      • 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
          • Lab – Experimenting with command injection in Claude Code
          • Case study – Shellshock
          • Lab – Shellshock
          • Case study – Command injection in Ivanti security appliances
      • 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 to RCE in Teltonika routers
        • XSS protection best practices
          • Protection principles – escaping
          • Lab – XSS fix / stored
          • Lab – XSS fix / reflected
          • Case study – XSS vulnerabilities in DrayTek Vigor routers
  • The OWASP Top Ten from Claude Code’s perspective
    • A06 – 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 protection best practices
          • Lab – Using CSP to prevent clickjacking
    • A07 – Authentication Failures
      • Authentication
        • Authentication basics
        • Multi-factor authentication (MFA)
        • Case study – The InfinityGauntlet attack
      • 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
        • Lab – Using adaptive hash functions in Python
        • Lab – Experimenting with adaptive hash functions in Claude Code
      • Password policy
    • A08 – Software and Data Integrity Failures
      • Subresource integrity
        • Importing JavaScript
        • Lab – Importing JavaScript
        • Case study – The British Airways data breach
      • Insecure deserialization
        • Serialization and deserialization challenges
        • Integrity – deserializing untrusted streams
        • Deserialization with pickle
        • Lab – Deserializing with Pickle
        • Case study – The security of the machine learning supply chain
        • Case study – The first wave of supply chain attacks: RCE via pickle (2022)
        • Case study – Compromising the Hugging Face Hub repository
        • Integrity – deserialization best practices
    • A10 – Mishandling of Exceptional Conditions
      • Error and exception handling principles
      • Error handling
        • Returning a misleading status code
        • Information exposure through error reporting
          • Information leakage via error pages
          • Lab – Flask information leakage
          • Case study – Information leakage via errors in Apache Superset
      • Exception handling
        • In the except block. And now what?
        • Empty except block
        • Lab – Exception handling mess
  • Wrap up
    • Secure coding principles
      • Principles of robust programming by Matt Bishop
    • And now what?
      • Software security sources and further reading
      • Python resources
      • Generative AI – Resources and additional guidance

Pricing

3 days Session Price

2250 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
Inquiry
Customized course

Tailor a course to your preferences

  • Send us a brief description of your business’s training needs
  • Include your contact information
  • One of our colleagues will be in touch to schedule a free consultation about training requirements
Inquiry

Inquiry

Interested in the trainings but still have some questions? Curious about how you can customize a training for your team? Send us a message and a team member will be in touch within 24 hours.

This field is required

This field is required

Send us your phone number if you prefer to discuss further on a call

This field is required

This field is required

This field is required

This field is required