When you pick ways to confirm identity in Python, it’s important to think about security risks. These risks can harm user data and damage your application. Here are some key risks you should know:

1. Password Problems

• Weak Passwords: A study by Verizon in 2020 found that 80% of data breaches happen because of weak or stolen passwords.
• Password Storage: If you store passwords in plain text, it can cause serious problems. Instead, use tools like bcrypt or Argon2 to save passwords safely.

2. Injection Attacks

• SQL Injection: More than 90% of websites can be attacked through SQL injection if they are not protected. Always use parameterized queries to help stop this problem.
• Command Injection: If you don’t check input properly, bad actors can run commands on the server. Validating and cleaning input is very important.

3. Session Management

• Session Hijacking: If session tokens are not handled safely, attackers can take over sessions. Use secure cookies and set important settings like HttpOnly and SameSite.
• Cross-Site Request Forgery (CSRF): To avoid CSRF attacks, use anti-CSRF tokens to check that requests are real.

4. Multi-Factor Authentication (MFA)

• No MFA: Not using MFA can lead to more account takeovers. A study found that 99.9% of account takeovers could be stopped by using MFA.

5. Unsafe APIs

• API Vulnerabilities: APIs can be targets for attacks. A survey found that 68% of organizations faced security problems related to APIs. Always carry out checks for identity and authorization carefully.

6. Social Engineering

• Phishing Attacks: Over 55% of organizations say they have been targeted by phishing attacks. It's crucial to train users on how to spot phishing tricks.

In conclusion, it is very important to carefully choose and set up strong authentication methods in Python. This helps reduce security risks and keeps your application safe. Make sure to perform regular security checks and audits to protect against changing threats.