Cyberattacks are becoming more commonplace and the Open Web Application Security Project (OWASP), estimates 94% of sites have flaws in their access control alone. Attacks evolve to work around new defenses, and defenses must evolve to remain effective. Developers need to understand the fundamentals of attacks and defenses in order to comprehend new techniques as they become available. This book teaches you how to write secure web applications. The focus is highlighting how hackers attack applications along with a broad arsenal of defenses. This will enable you to pick appropriate techniques to close vulnerabilities while still providing users with their needed functionality. Topics covered include: - A framework for deciding what needs to be protected and how strongly Configuring services such as databases and web servers Safe use of HTTP methods such as GET, POST, etc, cookies and use of HTTPS Safe REST APIs Serverside attacks and defenses such as injection and crosssite scripting Clientside attacks and defenses such as crosssite request forgery Security techniques such as CORS, CSP Password management, authentication and authorization, including OAuth2 Best practices for dangerous operations such as password change and reset Use of thirdparty components and supply chain security (Git, CI/CD etc) What You'll Learn Review the defenses that can used to prevent attacks Model risks to better understand what to defend and how Choose appropriate techniques to defend against attacks Implement defenses in Python/Django applications Who This Book Is For - Developers who already know how to build web applications but need to know more about security Nonprofessional software engineers, such as scientists, who must develop web tools and want to make their algorithms available to a wider audience. Engineers and managers who are responsible for their product/company technical security policy

Hersteller:
APress in Springer Science + Business Media
juergen.hartmann@springer.com
Heidelberger Platz 3
DE 14197 Berlin

Matthew Baker is the Head of Scientific Software and Data Management at ETH Zurich, Switzerland's leading science and technology university, He leads a team of engineers developing custom software to support STEM research projects, as well as teaches computer science short courses. Having over 25 years of experience developing software, he has worked as a developer, systems administrator, project manager and consultant in various sectors from banking and insurance, science and engineering, to military intelligence.