Description: Social engineering attack where cybercriminals trick victims into revealing sensitive information (passwords, credit card details) via deceptive emails or messages.
Example: A fake bank email asking users to verify their account by clicking a link.
4. Spoofing:
Description: Impersonates a trusted entity (email, website, caller ID) to deceive victims.
Example: Email spoofing from a legitimate-looking domain to gain trust.
5. Identity-Based Attacks:
Description: Target specific individuals using personal information.
Example: Spear-phishing emails tailored to an executive’s role or interests.
6. Code Injection Attacks:
Description: Exploits vulnerabilities to inject malicious code into applications or databases.
Example: SQL injection, where an attacker manipulates database queries.
7. Supply Chain Attacks:
Description: Target vulnerabilities in third-party software or components.
Example: Malicious code introduced via compromised software updates.
8. Insider Threats:
Description: Attacks by authorized users (employees, contractors) with malicious intent.
Example: An employee stealing sensitive data or intentionally causing harm.
9. DNS Tunneling:
Description: Abuses DNS (Domain Name System) to bypass security controls.
Example: Smuggling data through DNS requests.
Remember that while AI has immense potential for good, it also requires ethical guidelines, robust security, and responsible development to prevent misuse. Vigilance and awareness are crucial in addressing the risks posed by evil AI. 🤖🔍🚫