Payload Obfuscation Framework

Custom Payload Encoder & Obfuscation Framework

1. Project Overview

This project is a practical framework designed to study how offensive payloads are transformed to evade signature-based detection systems like AV, EDR, and IPS. It provides a controlled lab environment to understand the limitations of static detection.

2. Features & Modules

The framework is divided into four main functional modules:

A. Encoding Module

• Base64: Binary-to-text encoding/decoding.
• XOR: Symmetric bitwise encryption using a user-defined key.
• ROT13: Simple substitution cipher.

B. String Obfuscation Module

• Random Insertion: Injecting junk characters to break static signatures.
• Character Splitting: Breaking strings into chunks for variable assembly.
• Reversible Transformations: String reversal technique].
• Hex Escaping: Converting payloads into hex escape sequences (\\xHH).

C. Evasion Testing Module (Optional Enhancement Included)

• Simulated Signatures: Keyword-matching against common shellcode patterns.
• YARA Integration: Support for professional-grade static detection rules.

D. Reporting Engine

• Generates comparative results in Text (.txt) and JSON formats.

3. Workflow

The framework follows a 5-step process:

1. Input: Load a raw string or read from a file.
2. Encoder Selection: Choose one or multiple encoding layers.
3. Obfuscation: Apply string mutation techniques.
4. Evasion Testing: Run the payload against the detection engine.
5. Reporting: Calculate effectiveness and save the results.

4. How to Run

Standard Execution

python3 payload_framework.py --payload "bash -i" --methods base64,xor,escape --xor_key "secret"

Disclaimer

This project is for educational and defensive security research only.