Add XML injection, prompt injection, enhanced open redirect payloads, and contribution guidelines

Co-authored-by: Stalin-143 <161853795+Stalin-143@users.noreply.github.com>

Prompt-Injection/README.md

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+# Prompt Injection
+
+## Description
+Prompt Injection vulnerabilities occur in AI/LLM-powered applications where user input can manipulate the system's prompts or instructions. This can lead to unauthorized actions, data leakage, or bypassing of security controls.
+
+## Common Attack Vectors
+- System prompt extraction
+- Instruction override
+- Jailbreaking AI models
+- Context manipulation
+- Role confusion attacks
+- Indirect prompt injection via external data
+
+## Testing Approach
+Test AI-powered chatbots, assistants, and applications that use Large Language Models (LLMs). Try to manipulate the model's behavior by injecting malicious prompts that override system instructions.
+
+## Payloads
+See `prompt-injection-payloads.txt` for a comprehensive list of prompt injection payloads.