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Seven Deadliest Web Application Attacks


Seven Deadliest Web Application Attacks

Author: Mike Shema

language: en

Publisher: Syngress

Release Date: 2010-02-20


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Seven Deadliest Web Application Attacks highlights the vagaries of web security by discussing the seven deadliest vulnerabilities exploited by attackers. This book pinpoints the most dangerous hacks and exploits specific to web applications, laying out the anatomy of these attacks including how to make your system more secure. You will discover the best ways to defend against these vicious hacks with step-by-step instruction and learn techniques to make your computer and network impenetrable. Each chapter presents examples of different attacks conducted against web sites. The methodology behind the attack is explored, showing its potential impact. The chapter then moves on to address possible countermeasures for different aspects of the attack. The book consists of seven chapters that cover the following: the most pervasive and easily exploited vulnerabilities in web sites and web browsers; Structured Query Language (SQL) injection attacks; mistakes of server administrators that expose the web site to attack; brute force attacks; and logic attacks. The ways in which malicious software malware has been growing as a threat on the Web are also considered. This book is intended for information security professionals of all levels, as well as web application developers and recreational hackers. - Knowledge is power, find out about the most dominant attacks currently waging war on computers and networks globally - Discover the best ways to defend against these vicious attacks; step-by-step instruction shows you how - Institute countermeasures, don't be caught defenseless again, and learn techniques to make your computer and network impenetrable

Hacking Web Apps


Hacking Web Apps

Author: Mike Shema

language: en

Publisher: Newnes

Release Date: 2012-10-22


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How can an information security professional keep up with all of the hacks, attacks, and exploits on the Web? One way is to read Hacking Web Apps. The content for this book has been selected by author Mike Shema to make sure that we are covering the most vicious attacks out there. Not only does Mike let you in on the anatomy of these attacks, but he also tells you how to get rid of these worms, trojans, and botnets and how to defend against them in the future. Countermeasures are detailed so that you can fight against similar attacks as they evolve. Attacks featured in this book include: • SQL Injection • Cross Site Scripting • Logic Attacks • Server Misconfigurations • Predictable Pages • Web of Distrust • Breaking Authentication Schemes • HTML5 Security Breaches • Attacks on Mobile Apps Even if you don't develop web sites or write HTML, Hacking Web Apps can still help you learn how sites are attacked—as well as the best way to defend against these attacks. Plus, Hacking Web Apps gives you detailed steps to make the web browser – sometimes your last line of defense – more secure. - More and more data, from finances to photos, is moving into web applications. How much can you trust that data to be accessible from a web browser anywhere and safe at the same time? - Some of the most damaging hacks to a web site can be executed with nothing more than a web browser and a little knowledge of HTML. - Learn about the most common threats and how to stop them, including HTML Injection, XSS, Cross Site Request Forgery, SQL Injection, Breaking Authentication Schemes, Logic Attacks, Web of Distrust, Browser Hacks and many more.

Hands-on Data Virtualization with Polybase


Hands-on Data Virtualization with Polybase

Author: Pablo Alejandro Echeverria Barrios

language: en

Publisher: BPB Publications

Release Date: 2021-04-05


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Run queries and analysis on big data clusters across relational and non relational databases Ê KEY FEATURESÊÊ _ Connect to Hadoop, Azure, Spark, Oracle, Teradata, Cassandra, MongoDB, CosmosDB, MySQL, PostgreSQL, MariaDB, and SAP HANA. _ Numerous techniques on how to query data and troubleshoot Polybase for better data analytics. _ Exclusive coverage on Azure Synapse Analytics and building Big Data clusters. DESCRIPTIONÊ This book brings exciting coverage on establishing and managing data virtualization using polybase. This book teaches how to configure polybase on almost all relational and nonrelational databases. You will learn to set up the test environment for any tool or software instantly without hassle. You will practice how to design and build some of the high performing data warehousing solutions and that too in a few minutes of time. You will almost become an expert in connecting to all databases including hadoop, cassandra, MySQL, PostgreSQL, MariaDB and Oracle database. This book also brings exclusive coverage on how to build data clusters on Azure and using Azure Synapse Analytics. By the end of this book, you just don't administer the polybase for managing big data clusters but rather you learn to optimize and boost the performance for enabling data analytics and ease of data accessibility. WHAT YOU WILL LEARN _ Learn to configure Polybase and process Transact SQL queries with ease. _ Create a Docker container with SQL Server 2019 on Windows and Polybase. _ Establish SQL Server instance with any other software or tool using Polybase _ Connect with Cassandra, MongoDB, MySQL, PostgreSQL, MariaDB, and IBM DB2. WHO THIS BOOK IS FORÊÊ This book is for database developers and administrators familiar with the SQL language and command prompt. Managers and decision-makers will also find this book useful. No prior knowledge of any other technology or language is required. TABLE OF CONTENTS 1. What is Data Virtualization (Polybase) 2. History of Polybase 3. Polybase current state 4. Differences with other technologies 5. Usage 6. Future 7. SQL Server 8. Hadoop Cloudera and Hortonworks 9. Windows Azure Storage Blob 10. Spark 11. From Azure Synapse Analytics 12. From Big Data Clusters 13. Oracle 14. Teradata 15. Cassandra 16. MongoDB 17. CosmosDB 18. MySQL 19. PostgreSQL 20. MariaDB 21. SAP HANA 22. IBM DB2 23. Excel