Security testing Python Web applications
30 Labs
10 Case Studies
Platform
Web
Audience
Python developers and testers working on Web applications
Preparedness
General Python and Web development, testing and QA
Standards and references
OWASP, CWE and Fortify Taxonomy
Group size
12 participants
Outline
- Cyber security basics
- The OWASP Top Ten 2021
- Security testing
- Wrap up
What you will learn
- 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
- Input validation approaches and principles
- Understanding security testing methodology and approaches
- Managing vulnerabilities in third party components
- Getting familiar with security testing techniques and tools
Description
Your Web application written in Python is tested functionally, 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.
Testing for security needs a remarkable software security expertise and 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.
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.A special focus is given to finding all discussed issues during testing, and an overview is provided on security testing methodology, techniques and tools.
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
- Consequences of insecure software
- The OWASP Top Ten 2021
- A01 – Broken Access Control
- Access control basics
- Testing for authorization issues
- 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
- Testing for confused deputy weaknesses
- File upload
- Unrestricted file upload
- Good practices
- Lab – Unrestricted file upload
- Testing for file upload vulnerabilities
- Lab – Creating polyglot files for testing
- A03 – Injection
- Injection principles
- Injection attacks
- SQL injection
- SQL injection basics
- Lab – SQL injection
- Testing for SQL injection
- SQL injection tools
- Lab – Using SQL injection tools
- SQL injection best practices
- Input validation
- Parameterized queries
- Lab – Using prepared statements
- 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
- Testing for command injection
- A01 – Broken Access Control
- The OWASP Top Ten 2021
- A03 – Injection (continued)
- 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
- Regular expression denial of service (ReDoS)
- Lab – ReDoS
- Dealing with ReDoS
- 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
- Testing for XSS
- Testing for XSS with tools
- 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 – defense in depth
- Input validation
- A03 – Injection (continued)
- Security testing
- Security testing vs functional testing
- Manual and automated methods
- Black box, white box, and hybrid testing
- Security testing methodology
- Security testing – goals and methodologies
- Overview of security testing processes
- Identifying and rating assets
- Preparation and scoping
- Identifying assets
- Identifying the attack surface
- Assigning security requirements
- Lab – Identifying and rating assets
- Threat modeling
- Attacker profiling
- SDL threat modeling
- Mapping STRIDE to DFD
- DFD example
- Attack trees
- Attack tree example
- Lab – Crafting an attack tree
- Misuse cases
- Misuse case examples
- Risk analysis
- Lab – Risk analysis
- Accomplishing the tests
- Reporting, recommendations, and review
- The OWASP Top Ten 2021
- A04 – Insecure Design
- Client-side security
- Frame sandboxing
- Cross-Frame Scripting (XFS) attacks
- Lab – Clickjacking
- Clickjacking protection best practices
- Lab – Using CSP to prevent clickjacking
- Testing for client-side security weaknesses
- Frame sandboxing
- Client-side security
- A06 – Vulnerable and Outdated Components
- Using vulnerable components
- Untrusted functionality import
- Malicious packages in Python
- Vulnerability management
- Lab – Finding vulnerabilities in third-party components
- A07 – Identification and Authentication Failures
- Authentication
- Authentication basics
- Multi-factor authentication (MFA)
- Case study – PayPal 2FA bypass
- Testing for weak authentication
- Password management
- Inbound password management
- Storing account passwords
- 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
- Password policy
- NIST authenticator requirements for memorized secrets
- Testing for password management issues
- Using password cracking tools
- Password cracking in Windows
- Lab – Password audit with John the Ripper
- Inbound password management
- Authentication
- 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
- Testing for insecure deserialization
- Subresource integrity
- A10 – Server-side Request Forgery (SSRF)
- Server-side Request Forgery (SSRF)
- Case study – SSRF and the Capital One breach
- Testing for SSRF
- A04 – Insecure Design
- Security testing
- Security testing techniques and tools
- Code analysis
- Static Application Security Testing (SAST)
- Lab – Using static analysis tools
- Dynamic analysis
- Security testing at runtime
- Penetration testing
- Stress testing
- Dynamic analysis tools
- Dynamic Application Security Testing (DAST)
- Web vulnerability scanners
- Lab – Using web vulnerability scanners
- Fuzzing
- Code analysis
- Security testing techniques and tools
- Wrap up
- Secure coding principles
- Principles of robust programming by Matt Bishop
- And now what?
- Software security sources and further reading
- Python resources
- Security testing resources
- Secure coding principles
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
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
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.
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Audience
Python developers working on Web applications
Group size
12 participants
Labs
Hands-on
Description
Your Web 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.
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.
So that you are prepared for the forces of the dark side.
So that nothing unexpected happens.
Nothing.
Outline
- Cyber security basics
- The OWASP Top Ten 2021
- Wrap up
What you will learn
- 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