Augmented attack tree modeling of SQL injection attacks

The SQL injection attacks (SQLIAs) vulnerability is extremely widespread and poses a serious security threat to web applications with built-in access to databases. The SQLIA adversary intelligently exploits the SQL statement parsing operation by web servers via specially constructed SQL statements that subtly lead to non-explicit executions or modifications of corresponding database tables. In this paper, we present a formal and methodical way of modeling SQLIAs by way of augmented attack trees. This modeling explicitly captures the particular subtle incidents triggered by SQLIA adversaries and corresponding state transitions. To the best of our knowledge, this is the first known attack tree modelling of SQL injection attacks

Defensive Approaches on SQL Injection and Cross-Site Scripting Attacks

SQL Injection attacks are the most common attacks on the web applications Statistical analysis says that so many web sites which interact with the database are prone to SQL Injection XSS attacks Different kinds of vulnerability detection system and attack detection systems exist there is no efficient system for detecting these kinds of attacks SQL Injection attacks are possible due to the design drawbacks of the websites which interact with back-end databases Successful attacks may damage more The state-of-art web application input validation echniques fails to identify the proper SQL XSS Vulnerabilities accurately because of the systems correctness of sanity checking capability proper placement of valuators on the applications The systems fail while processing HTTP Parameter pollution attacks An extensive survey on the SQL Injection attacks is conducted to present various detection and prevension mechanism

Augmented attack tree modeling of SQL injection attacks

The SQL injection attacks (SQLIAs) vulnerability is extremely widespread and poses a serious security threat to web applications with built-in access to databases. The SQLIA adversary intelligently exploits the SQL statement parsing operation by web servers via specially constructed SQL statements that subtly lead to non-explicit executions or modifications of corresponding database tables. In this paper, we present a formal and methodical way of modeling SQLIAs by way of augmented attack trees. This modeling explicitly captures the particular subtle incidents triggered by SQLIA adversaries and corresponding state transitions. To the best of our knowledge, this is the first known attack tree modelling of SQL injection attacks