Web Application Security in Python

Web Application Security in PythonWASEC-PYCYCydrillCY-WASEC-PY1.0<ul> <li>Getting familiar with essential cyber security concepts</li><li>Understanding Web application security issues</li><li>Detailed analysis of the OWASP Top Ten elements</li><li>Putting Web application security in the context of Python</li><li>Going beyond the low hanging fruits</li><li>Managing vulnerabilities in third party components</li><li>Identify vulnerabilities and their consequences</li><li>Learn the security best practices in Python</li><li>Input validation approaches and principles</li></ul>General Python and Web developmentPython developers working on Web applications<ul> <li>Cyber security basics</li><li>The OWASP Top Ten</li><li>Common software security weaknesses</li><li>JSON security</li><li>Wrap up</li></ul>DAY 1 Cyber security basics <ul> <li>What is security?</li><li>Threat and risk</li><li>Cyber security threat types</li><li>Consequences of insecure software</li></ul>The OWASP Top Ten <ul> <li>OWASP Top 10 – 2017</li><li>A1 – Injection <ul> <li>Injection principles</li><li>Injection attacks</li><li>SQL injection <ul> <li>SQL injection basics</li><li>Lab – SQL injection</li><li>Attack techniques</li><li>Content-based blind SQL injection</li><li>Time-based blind SQL injection</li></ul></li><li>SQL injection best practices <ul> <li>Input validation</li><li>Parameterized queries</li><li>Additional considerations</li><li>Lab – SQL injection best practices</li><li>Case study – Hacking Fortnite accounts</li></ul></li><li>Code injection <ul> <li>Code injection via input()</li><li>OS command injection <ul> <li>Lab – Command injection</li><li>OS command injection best practices</li><li>Avoiding command injection with the right APIs</li><li>Lab – Command injection best practices</li><li>Case study – Shellshock</li><li>Lab – Shellshock</li><li>Case study – Command injection via ping</li></ul></li><li>Script injection <ul> <li>Server-side template injection (SSTI)</li><li>Lab – Template injection</li></ul></li></ul></li><li>General protection best practices</li></ul></li><li>A2 – Broken Authentication <ul> <li>Authentication basics</li><li>Multi-factor authentication</li><li>Authentication weaknesses – spoofing</li><li>Spoofing on the Web</li><li>Case study – PayPal 2FA bypass</li><li>Password management <ul> <li>Inbound password management</li><li>Storing account passwords</li><li>Password in transit</li><li>Lab – Is just hashing passwords enough?</li><li>Dictionary attacks and brute forcing</li><li>Salting</li><li>Adaptive hash functions for password storage</li><li>Password policy <ul> <li>NIST authenticator requirements for memorized secrets</li></ul></li><li>Case study – The Ashley Madison data breach <ul> <li>The dictionary attack</li><li>The ultimate crack</li><li>Exploitation and the lessons learned</li></ul></li><li>Password database migration <ul> <li>(Mis)handling None passwords</li></ul></li></ul></li></ul></li></ul>DAY 2 The OWASP Top Ten <ul> <li>A2 – Broken Authentication <ul> <li>Password management <ul> <li>Outbound password management <ul> <li>Hard coded passwords</li><li>Best practices</li><li>Lab – Hardcoded password</li><li>Protecting sensitive information in memory <ul> <li>Challenges in protecting memory</li></ul></li></ul></li></ul></li><li>Session management <ul> <li>Session management essentials</li><li>Session ID best practices</li><li>Why do we protect session IDs – Session hijacking</li><li>Session fixation</li><li>Session handling in Flask</li></ul></li></ul></li><li>A3 – Sensitive Data Exposure <ul> <li>Information exposure</li><li>Exposure through extracted data and aggregation</li><li>Case study – Strava data exposure</li><li>Error and exception handling principles</li></ul></li><li>A4 – XML External Entities (XXE) <ul> <li>DTD and the entities</li><li>Entity expansion</li><li>Lab – Billion laughs attack</li><li>External Entity Attack (XXE) <ul> <li>File inclusion with external entities</li><li>Server-Side Request Forgery with external entities</li><li>Lab – External entity attack</li><li>Case study – XXE vulnerability in SAP Store</li><li>Preventing XXE</li><li>Lab – Using non-vulnerable parsers</li></ul></li></ul></li><li>A5 – Broken Access Control <ul> <li>Access control basics</li><li>Failure to restrict URL access</li><li>Confused deputy <ul> <li>Insecure direct object reference (IDOR)</li><li>Lab – Insecure Direct Object Reference</li><li>Authorization bypass through user-controlled keys</li><li>Case study – Authorization bypass on Facebook</li><li>Lab – Horizontal authorization</li></ul></li><li>File upload <ul> <li>Unrestricted file upload</li><li>Good practices</li><li>Lab – Unrestricted file upload</li></ul></li></ul></li><li>A6 – Security Misconfiguration <ul> <li>Configuration principles</li><li>Python configuration best practices <ul> <li>Configuring Flask</li></ul></li></ul></li><li>A7 – Cross-site Scripting (XSS) <ul> <li>Cross-site scripting basics</li><li>Cross-site scripting types <ul> <li>Persistent cross-site scripting</li><li>Reflected cross-site scripting</li><li>Client-side (DOM-based) cross-site scripting</li><li>Lab – Stored XSS</li><li>Lab – Reflected XSS</li><li>Case study – XSS in Fortnite accounts</li></ul></li><li>XSS protection best practices <ul> <li>Protection principles – escaping</li><li>XSS protection APIs in Python</li><li>XSS protection in Jinja2</li><li>Lab – XSS fix / stored</li><li>Lab – XSS fix / reflected</li><li>Additional protection layers</li><li>Client-side protection principles</li></ul></li></ul></li><li>A8 – Insecure Deserialization <ul> <li>Serialization and deserialization challenges</li><li>Deserializing untrusted streams</li><li>Deserialization with pickle</li><li>Lab – Deserializing with Pickle</li><li>PyYAML deserialization challenges</li><li>Deserialization best practices</li></ul></li></ul>DAY 3 The OWASP Top Ten <ul> <li>A9 – Using Components with Known Vulnerabilities <ul> <li>Using vulnerable components</li><li>Assessing the environment</li><li>Hardening</li><li>Untrusted functionality import</li><li>Malicious packages in Python</li><li>Importing JavaScript</li><li>Lab – Importing JavaScript</li><li>Case study – The British Airways data breach</li><li>Vulnerability management <ul> <li>Patch management</li><li>Vulnerability databases</li></ul></li></ul></li><li>A10 – Insufficient Logging & Monitoring <ul> <li>Logging and monitoring principles</li><li>Insufficient logging</li><li>Plaintext passwords at Facebook</li><li>Logging best practices</li><li>Monitoring best practices</li></ul></li><li>Web application security beyond the Top Ten <ul> <li>Client-side security</li><li>Same Origin Policy <ul> <li>Lab – Same-origin policy demo</li><li>Tabnabbing</li><li>Lab – Reverse tabnabbing</li></ul></li><li>Frame sandboxing <ul> <li>Cross-Frame Scripting (XFS) attack</li><li>Lab – Clickjacking</li><li>Clickjacking beyond hijacking a click</li><li>Clickjacking protection best practices</li><li>Lab – Using CSP to prevent clickjacking</li></ul></li></ul></li></ul>Common software security weaknesses <ul> <li>Input validation <ul> <li>Input validation principles <ul> <li>Blacklists and whitelists</li><li>Data validation techniques</li><li>Lab – Input validation</li><li>What to validate – the attack surface</li><li>Where to validate – defense in depth</li><li>How to validate – validation vs transformations</li><li>Output sanitization</li><li>Encoding challenges</li><li>Lab – Encoding challenges</li><li>Validation with regex</li><li>Regular expression denial of service (ReDoS)</li><li>Lab – Regular expression denial of service (ReDoS)</li><li>Dealing with ReDoS</li></ul></li><li>Files and streams <ul> <li>Path traversal</li><li>Path traversal-related examples</li><li>Lab – Path traversal</li><li>Additional challenges in Windows</li><li>Virtual resources</li><li>Path traversal best practices</li><li>Format string issues</li></ul></li><li>Unsafe native code <ul> <li>Native code dependence</li><li>Lab – Unsafe native code</li><li>Best practices for dealing with native code</li></ul></li></ul></li></ul>JSON security <ul> <li>JSON injection</li><li>Dangers of JSONP</li><li>JSON/JavaScript hijacking</li><li>Best practices</li><li>Case study – ReactJS vulnerability in HackerOne</li></ul>Wrap up <ul> <li>Secure coding principles <ul> <li>Principles of robust programming by Matt Bishop</li><li>Secure design principles of Saltzer and Schröder</li></ul></li><li>And now what? <ul> <li>Software security sources and further reading</li><li>Python resources</li></ul></li></ul>- 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 - Identify vulnerabilities and their consequences - Learn the security best practices in Python - Input validation approaches and principlesGeneral Python and Web developmentPython developers working on Web applications- Cyber security basics - The OWASP Top Ten - Common software security weaknesses - JSON security - Wrap upDAY 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 resources3 jours2250.002250.002250.002250.002250.002250.002250.002250.002250.002250.002250.00