Social-Engineer Toolkit (SET)
The Social-Engineer Toolkit (SET) is an open-source penetration testing framework specifically designed for social engineering attacks. It was developed by Dave Kennedy and is widely used by ethical hackers and security professionals to simulate real-world social engineering scenarios.
Overview of SET
- Purpose: To automate and simplify the process of launching social engineering attacks.
- Platform: Primarily runs on Linux (often bundled with Kali Linux).
- Language: Written in Python.
Key Features of SET
1. Website Attack Vectors
- Clone legitimate websites (e.g., login pages) to trick users into entering credentials.
- Supports credential harvesting and browser exploits.
2. Phishing Attacks
- Send spoofed emails with malicious links or attachments.
- Integrates with tools like Sendmail, SMTP, and Gmail APIs.
3. Payload Generation
- Create payloads for Windows, Linux, and macOS.
- Supports reverse shells, meterpreter sessions, and custom executables.
4. Spear Phishing
- Targeted phishing campaigns using personalized messages.
- Can embed malicious PDFs, Excel files, or Word documents.
5. Mass Mailer Attack
- Send bulk emails to multiple targets with customizable content.
- Useful for simulating phishing campaigns.
6. Arduino-Based Attacks
- Use devices like Teensy or Rubber Ducky to emulate keyboard input and deliver payloads.
7. SMS Spoofing
- Send fake SMS messages (requires third-party services).
- Useful for mobile-based social engineering tests.
Ethical Use and Considerations
- Authorization Required: SET should only be used in environments where you have explicit permission.
- Training and Awareness: Often used in red team exercises and security awareness training.
- Logging and Reporting: SET can log attack results for analysis and reporting.
Example Use Case: Credential Harvesting
- Launch SET and choose the Website Attack Vectors option.
- Select Credential Harvester Attack Method.
- Clone a target login page (e.g., company intranet).
- Send the link via email to employees.
- Capture credentials entered into the fake page.
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