Which of the following best describes why SQL injection is a serious security risk?
Think about what happens when user input is not handled safely in database queries.
SQL injection lets attackers change the intended database commands, which can lead to unauthorized data access or changes.
What will be the output of the following Python code simulating a vulnerable SQL query if the user input is "' OR '1'='1"?
user_input = "' OR '1'='1" query = f"SELECT * FROM users WHERE username = '{user_input}'" print(query)
Look carefully at how the input is inserted into the query string.
The input is inserted directly, so the query becomes: SELECT * FROM users WHERE username = '' OR '1'='1', which always returns true.
You run an automated test that sends a malicious input to a login form. Which assertion best verifies the application is protected against SQL injection?
Think about what a safe application should do when given bad input.
A safe app rejects the login with an invalid credentials message. A server error or SQL code exposure means vulnerability.
Given this test code snippet, why does the SQL injection test fail to detect vulnerability?
def test_sql_injection(client):
payload = "' OR '1'='1"
response = client.post('/login', data={'username': payload, 'password': 'any'})
assert b"Welcome" not in response.data
Consider what the app actually returns on failed login attempts.
If the app always shows "Welcome" regardless of login success, the test assertion will fail to detect injection.
Which feature is most effective to include in an automated testing framework to detect SQL injection vulnerabilities?
Think about what helps find SQL injection issues automatically.
Injecting known SQL attack strings and checking for errors or data leaks helps find injection flaws effectively.