Cybersecurity Awareness: Protecting Your Code from Common Attacks

Every line of code and every piece of data you accept can become an entry point for attackers. With AI becoming more integrated into systems, cyber threats are evolving—becoming smarter and more deceptive. Common attacks like SQL Injection, XSS (Cross-Site Scripting), Malvertising, and Data Poisoning can silently destroy your application if left unchecked.

You Should Know: How to Prevent Common Cyber Attacks

1. SQL Injection Prevention

SQL Injection occurs when attackers manipulate database queries through input fields.

Prevention:

• Use parameterized queries (prepared statements) instead of raw SQL.
• Example in Python (with sqlite3):

  import sqlite3
  conn = sqlite3.connect('example.db')
  cursor = conn.cursor()
  UNSAFE: cursor.execute(f"SELECT  FROM users WHERE username = '{user_input}'")
  SAFE:
  cursor.execute("SELECT  FROM users WHERE username = ?", (user_input,))
  

• For PHP (PDO):

  $stmt = $pdo->prepare('SELECT  FROM users WHERE username = :username');
  $stmt->execute(['username' => $user_input]);
  

2. Cross-Site Scripting (XSS) Protection

XSS allows attackers to inject malicious scripts into web pages viewed by users.

Prevention:

• Sanitize user inputs using libraries like `DOMPurify` (JavaScript):

  import DOMPurify from 'dompurify';
  const cleanInput = DOMPurify.sanitize(userInput);
  

• Use Content Security Policy (CSP) headers:

  <meta http-equiv="Content-Security-Policy" content="default-src 'self'; script-src 'self' 'unsafe-inline'">
  

3. Malvertising & Data Poisoning Defense

• Ad-Blockers & Script Blockers: Use browser extensions like uBlock Origin.
• Input Validation: Ensure data integrity before processing.

  import re
  def sanitize_input(input_data):
  return re.sub(r'[^a-zA-Z0-9]', '', input_data)
  

4. Secure File Uploads

• Restrict file types:

  Linux command to check file type
  file --mime-type uploads/userfile
  

• Store files outside the web root.

5. AI-Assisted Attacks Mitigation

• Monitor AI-generated inputs (like ChatGPT prompts) for malicious intent.
• Use rate limiting (e.g., `fail2ban` on Linux):

  sudo fail2ban-client set sshd banip 192.168.1.100
  

What Undercode Say

Cybersecurity is not optional—it’s a responsibility. Implementing secure coding practices from the first line reduces risks significantly. Attackers exploit laziness, not just vulnerabilities. Stay updated, use OWASP guidelines, and automate security checks with tools like:
– Static Application Security Testing (SAST): SonarQube, `Semgrep`
– Dynamic Analysis: OWASP ZAP, `Burp Suite`
– Linux Security Commands:

 Check open ports
sudo netstat -tuln | grep LISTEN
 Audit file permissions
find /var/www -type f -perm 777 -exec ls -la {} \;
 Monitor logs for attacks
tail -f /var/log/auth.log | grep "Failed password"

Prediction

As AI-driven attacks increase, automated security tools will become essential. Expect more AI-powered penetration testing tools that mimic human hackers.

Expected Output:

A secure, well-defended application with minimized attack surfaces.

(No irrelevant URLs found in the original post.)

References:

Reported By: Michel Wadangoye – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

Join Our Cyber World:

💬 Whatsapp | 💬 Telegram