Application-based cyber attacks explained for the CPA exam — this lecture covers the attacks that target software, websites, and databases to gain unauthorized access or disrupt operations, a key topic on the Information Systems and Controls (ISC) CPA exam. Built for accounting practitioners and CPA, CMA, and EA candidates studying IT risks and controls, this session explains SQL injection, cross-site scripting (XSS), race conditions, several types of computer viruses, and the best defenses against these threats.

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Video Timeline & Key Concepts:
0:00 Introduction: what application-based cyber attacks are
1:56 SQL injection: malicious code in input fields to manipulate databases
5:28 Cross-site scripting (XSS): scripts that target website users
7:15 Race conditions: exploiting timing and sequence to bypass authorization
11:15 Virus types: override, multipartite, parasitic, polymorphic, and resident
15:12 Defense strategy: input validation and parameterized queries

Frequently Asked Questions:

What is an application-based cyber attack?

An application-based cyber attack targets software, websites, or databases, usually by exploiting coding errors or security flaws. The goal is to gain unauthorized access, steal or alter data, or disrupt the normal operation of the application.

What is SQL injection and how do you prevent it?

SQL injection occurs when an attacker inserts malicious SQL code into input fields, such as login forms, to manipulate database queries and bypass authentication or steal data. The most effective defenses are input validation and parameterized queries, which ensure input is treated as data rather than executable code.

What is the difference between SQL injection and cross-site scripting (XSS)?

SQL injection targets a website's database to manipulate or steal stored data. Cross-site scripting targets the users of a website by injecting scripts that run in the victim's browser, often to steal session cookies or redirect them to malicious sites.

What is a race condition attack?

A race condition attack exploits situations where a system's outcome depends on the timing or sequence of events. An attacker triggers multiple processes at once — for example, withdrawing funds twice before the account balance updates — to bypass the intended authorization logic.

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