Web Security: Common Vulnerabilities And Their Mitigation - Anatomy of a SQLi attack - table names and column names

The video tutorial explains how to perform a SQL injection attack to identify column and table names in a database. It covers the process of using SQL queries to determine valid column names by observing server responses and then finding table names through trial and error. The tutorial emphasizes the importance of understanding SQL query structure and how attackers exploit errors to gather information. It concludes with verifying the match between identified columns and the correct table, highlighting the iterative nature of the attack.

What is the primary goal of a SQL injection attack?

• To improve query performance

• To retrieve unauthorized data

• To update database software

• To enhance database security

How can an attacker determine if a column name is valid?

• By checking if the query returns data

• By observing if the server returns an error

• By consulting the database administrator

• By using a different database

What technique is used to identify valid columns in a table?

• Using a database management tool

• Trial and error with different column names

• Consulting the database schema

• Using a predefined list of column names

What is the purpose of modifying SQL queries in the context of SQL injection?

• To enhance database security

• To identify table names

• To update database records

• To improve query efficiency

How can an attacker confirm the correct table name?

• By consulting the database administrator

• By using a database management tool

• By checking if the query runs without errors

• By matching it with known table names

What is a common challenge in SQL injection attacks?

• Lack of database access

• Assumptions about database structure

• Complexity of SQL syntax

• Limited network bandwidth

What is a key indicator that a SQL query is valid during an attack?

• The query execution time is reduced

• The server does not return an error

• The query returns a large dataset

• The database logs show no activity