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Project - D-Velázquez AI

About

🎯 Objectives & Goals Primary Objective: Develop an advanced obfuscation tool that leverages AI to help security professionals test and improve defensive systems. Key Goals: ✔ Create polymorphic code variants that evade pattern-matching detection ✔ Support multiple programming languages (Python, JS, PowerShell, etc.) ✔ Integrate AI for adaptive obfuscation techniques ✔ Document real-world AV/EDR bypass techniques for research ✔ Maintain ethical usage through built-in safeguards ⚠️ Legal Disclaimer THIS IS NOT A HACKING TOOL ✖ Never use against systems you don't own or have explicit permission to test ✖ Intentionally bypassing security systems without authorization is illegal ✖ Developers assume no liability for misuse Intended Only For: ✓ Authorized penetration testing ✓ Security product evaluation (with vendor consent) ✓ Academic research on detection methods 🔍 Use Cases 1. Red Team Operations - Test endpoint detection capabilities - Develop evasion techniques for authorized engagements 2. Security Product Development - Improve antivirus heuristics - Benchmark EDR solutions' resilience 3. Academic Research - Study code pattern recognition limitations - Document obfuscation effectiveness metrics 4. Developer Education - Demonstrate common obfuscation patterns - Train developers on secure coding practices 🛡️ Ethical Guidelines 1. Always obtain written permission before testing 2. Never deploy obfuscated code in production environments 3. Report discovered vulnerabilities to vendors 4. Document all research activities 🌟 Key Features | Feature | Benefit | |---------|---------| | AI-Generated Variants | Defeats static signature detection | | Multi-Layer Obfuscation | Simulates advanced attack techniques | | Technique Selection | Customizable for specific test scenarios | | Activity Logging | Provides audit trail for compliance |

Price

₹349.00
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# AvastackCyberLaboratory

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