Extended Web application security in Python
31 Labs
17 Case Studies
Platform
Web
Audience
Python developers working on Web applications
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
- 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
- Input validation approaches and principles
- Managing vulnerabilities in third party components
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.
They said about us
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
- Failure to restrict URL access
- Confused deputy
- Insecure direct object reference (IDOR)
- Path traversal
- Lab – Insecure Direct Object Reference
- Path traversal best practices
- 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
- 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
- Cryptography for developers
- Cryptography basics
- Cryptography in Python
- Elementary algorithms
- Hashing
- Hashing basics
- Hashing in Python
- Lab – Hashing in Python
- Random number generation
- Pseudo random number generators (PRNGs)
- Cryptographically secure PRNGs
- Weak PRNGs
- Using random numbers
- Lab – Using random numbers in Python
- Hashing
- 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
- Combining symmetric and asymmetric algorithms
- Symmetric encryption
- Cryptography for developers
- A01 – Broken Access Control
- The OWASP Top Ten 2021
- A03 – 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
- Output sanitization
- Encoding challenges
- Unicode challenges
- Validation with regex
- 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 – SQL injection against US airport security
- SQL injection protection and ORM
- NoSQL injection
- NoSQL injection basics
- 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
- Case study – Command injection in Ivanti security appliances
- Script injection
- Case study – Script injection in Kubernetes NGINX Ingress
- Server-side template injection (SSTI)
- 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
- 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
- Case study – XSS vulnerabilities in DrayTek Vigor routers
- Input validation
- A03 – Injection
- The OWASP Top Ten 2021
- 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
- Same Origin Policy
- Simple request
- Preflight request
- Cross-Origin Resource Sharing (CORS)
- Lab – Same-origin policy demo
- Frame sandboxing
- Cross-Frame Scripting (XFS) attacks
- Lab – Clickjacking
- Clickjacking beyond hijacking a click
- Clickjacking protection best practices
- Lab – Using CSP to prevent clickjacking
- Content Security Policy
- Directives in the HTTP response
- Browser support
- Resource control
- Source whitelists
- CSP best practices
- JSON security
- JSON validation
- JSON injection
- Dangers of JSONP
- JSON/JavaScript hijacking
- Best practices
- Case study – ReactJS vulnerability in HackerOne
- XML security
- XML validation
- XML injection
- XPath injection
- Blind XPath injection
- Same Origin Policy
- A05 – Security Misconfiguration
- Configuration principles
- Server misconfiguration
- Python configuration best practices
- Configuring Flask
- Cookie security
- Cookie security best practices
- Cookie attributes
- XML entities
- DTD and the entities
- Attribute blowup
- 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
- A06 – Vulnerable and Outdated Components
- Using vulnerable components
- Assessing the environment
- Hardening
- Untrusted functionality import
- Malicious packages in Python
- Case study – The Polyfill.io supply chain attack
- Vulnerability management
- Patch management
- Vulnerability databases
- Vulnerability rating – CVSS
- CVSS – Base Metric Group
- CVSS – Supplemental Metric Group
- CVSS – Threat Metric Group
- CVSS – Environmental Metric Group
- Lab – Finding vulnerabilities in third-party components
- Bug bounty programs
- DevOps, the CI / CD build process and Software Composition Analysis
- Dependency checking in Python
- Lab – Detecting vulnerable components
- A04 – Insecure Design
- The OWASP Top Ten 2021
- A07 – Identification and Authentication Failures
- Authentication
- Authentication basics
- Multi-factor authentication (MFA)
- Case study – The InfinityGauntlet attack
- Time-based One Time Passwords (TOTP)
- Session management
- Session management essentials
- Why do we protect session IDs – Session hijacking
- Session fixation
- Session ID best practices
- Session handling in Flask
- 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
- Lab – Using adaptive hash functions in Python
- Password policy
- NIST authenticator requirements for memorized secrets
- Password database migration
- Outbound password management
- Hard coded passwords
- Best practices
- Lab – Hardcoded password
- Protecting sensitive information in memory
- Challenges in protecting memory
- Case study – Microsoft secret key theft via dump files
- Inbound password management
- Authentication
- A08 – Software and Data Integrity Failures
- Integrity protection
- Message Authentication Code (MAC)
- Calculating HMAC in Python
- Lab – Calculating MAC in Python
- Digital signature
- Elliptic Curve Cryptography
- ECC basics
- Digital signature with ECC
- Digital signature in Python
- Lab – Digital signature with ECDSA in Python
- Elliptic Curve Cryptography
- Message Authentication Code (MAC)
- Subresource integrity
- Importing JavaScript
- Lab – Importing JavaScript
- Case study – The British Airways data breach
- Integrity protection
- A09 – Security Logging and Monitoring Failures
- Logging and monitoring principles
- Insufficient logging
- Case study – Plaintext passwords at Facebook
- Logging best practices
- Monitoring best practices
- A10 – Server-side Request Forgery (SSRF)
- Server-side Request Forgery (SSRF)
- Case study – SSRF in Ivanti Connect Secure
- Web application security beyond the Top Ten
- 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
- Case study – ReDoS vulnerabilities in Python
- Regular expression denial of service (ReDoS)
- Denial of service
- A07 – Identification and Authentication Failures
- Wrap up
- Secure coding principles
- Principles of robust programming by Matt Bishop
- And now what?
- Software security sources and further reading
- Python resources
- Secure coding principles
Pricing
4 days Session Price
3000 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 and testers working on Web applications
Group size
12 participants
Labs
Hands-on
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.
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