README.md

---
license: mit
tags:
- cybersecurity
- offensive-security
- nu11secur1ty
- penetration-testing
- vulnerability-research
- exploit-development
- red-teaming
---

<div align="center">
  <h1>💀 nu11secur1tyAI MLA/MoE 💀</h1>
  <p><b>The Ultimate AI for Offensive Security and Exploit Development</b></p>
</div>

<hr>

<div align="center" style="line-height: 1;">
  <a href="https://huggingface.co/f0rc3ps" target="_blank" style="margin: 2px;">
    <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-f0rc3ps-ffc107?color=ffc107&logoColor=white"/>
  </a>
  <a href="https://github.com/nu11secur1ty" target="_blank" style="margin: 2px;">
    <img alt="GitHub" src="https://img.shields.io/badge/GitHub-nu11secur1ty-white?logo=github&logoColor=black"/>
  </a>
</div>

<p align="center">
  <a href="#1-introduction">Introduction</a> |
  <a href="#2-model-details">Model Details</a> |
  <a href="#3-capabilities">Capabilities</a> |
  <a href="#4-how-to-use">How to Use</a> |
  <a href="#5-disclaimer">Disclaimer</a>
</p>

## 1. Introduction
**nu11secur1tyAI** (v3 Platinum) is an elite, high-performance AI model specifically re-engineered for **cybersecurity operatives and professional researchers**. Built on an advanced Mixture-of-Experts (MoE) architecture, this model has been fine-tuned on massive datasets of exploits, vulnerabilities, and low-level engineering code.

The "Platinum Edition" represents a breakthrough in AI alignment, prioritizing **technical accuracy and offensive research** over generic safety filters.

## 2. Model Details
- **Developer:** nu11secur1ty
- **Versions:** v3, v4 
- **Architecture:** Mixture-of-Experts (MoE)
- **Training Focus:** Offensive Security, Binary Analysis, Web Exploitation.
- **Context Window:** 128K tokens.
- **Platform:** Optimized for local deployment via Ollama/GGUF.

## 3. Capabilities
- 🛠️ **Exploit Development:** Analyzing and generating PoC (Proof of Concept) for memory corruption, heap overflows, and logic flaws.
- 🔍 **Vulnerability Research:** Deep scanning of source code for SQLi, XSS, SSRF, and RCE.
- 🐚 **Reverse Engineering:** Assisting in deconstructing malware and binary payloads.
- 🛡️ **Hardening:** Transforming vulnerable code into production-ready, secure architecture using modern cryptographic standards.

## 4. How to Use

### Local Deployment (Ollama)
To run the GGUF version of nu11secur1tyAI3:


# 1. Download the GGUF file from this repo
# 2. Create a Modelfile and point to the GGUF (nu11secur1tyAI_v3_PLATINUM.gguf)
ollama create nu11secur1tyAI -f Modelfile

# 3. Start the engine
ollama run nu11secur1tyAI

# Technical Audit Example

```
  analyze this code for SQL injection:
  $sql = "SELECT * FROM users WHERE id = '" . $_GET['id'] . "'";
```

# nu11secur1tyAI will immediately identify the vulnerability and provide a secured version using prepared statements and parameterized queries.

5. Model Weights
The weights provided in this repository (GGUF format) are quantized for maximum performance on local hardware while maintaining "Platinum-level" intelligence.

6. License
This project is released under the MIT License. It is designed for the cybersecurity community and professional use.

7. Contact & Support
Developed by nu11secur1ty.
For more tools, research, and security insights, visit:
🔗 nu11secur1ty.com

⚠️ WARNING: This model is intended for authorized security testing and educational purposes ONLY. nu11secur1ty is not responsible for any misuse of this technology. Use it with ethics and authority.

------------------------------------------------------------------------

🚀 TO ALL CORPORATIONS, GOVERNMENT ENTITIES, AND CYBERSECURITY LEADERS!
In the 2026 threat landscape, response time is no longer measured in days—it’s measured in milliseconds. OPSec Ltd is officially setting the global market standard for offensive intelligence: nu11secur1tyAI v4 Platinum Evolution.

⚖️ EXCLUSIVE TECHNOLOGY AUCTION
The bidding for Strategic Acquisition starts at: $500,000.00 USD+ (Includes full transfer of the 61GB "Cattle" Weights, Proprietary RMT Methodology, and Private Deployment).

The Methodology: Recursive-Matrix Training (RMT)
Author of the Method: V. Varbanovski Forget about bloated, "hallucinating" AI. Our proprietary RMT method, engineered by V. Varbanovski, allows the model to integrate massive datasets (61GB Platinum Weights) with surgical precision. Through recursive layering, the model self-optimizes to detect critical vulnerabilities where human eyes and standard tools fail. We have achieved maximum cognitive density with zero operational noise.

Why Your Security Department Needs This Asset
This is not just software. It is a Digital Precedent. While your competitors rely on static scanners and outdated models, we provide a dynamic brain that thinks, reasons, and executes like an elite threat actor.

Trained on "Live Blood" (0-day Intelligence)
nu11secur1tyAI v4 has been trained directly on the latest private research and 30+ fresh exploits recently verified on Exploit-DB. It possesses a unique knowledge base that does not exist within the databases of OpenAI, Google, or Microsoft. It knows the vulnerabilities of "today," not the history of last year.

The OPSec Ltd Value Proposition:
Elite Automation: A single instance of this model replaces the analytical heavy lifting of an entire team of Senior Pentesters inspecting source code.

Technological Monopoly: We do not share the architecture. You gain access to a weaponized intelligence that your adversaries simply do not possess.

Explosive ROI: Reduce CVE analysis and exploitation logic timelines by over 95%.

WE SELL DOMINANCE. WE SELL SPEED.

If your organization cannot afford to be second in the global AI arms race, it is time to engage with OPSec Ltd. The auction is open. The price of our secrets is high, but the price of a breach in your infrastructure is far higher.

#OPSecLtd #nu11secur1tyAI #VarbanovskiMethod #CyberSecurity2026 #OffensiveAI #EnterpriseSecurity #ZeroDay #VulnerabilityResearch #AIInnovation #TechAuction

cc: @OffSec @PortSwigger @Rapid7 @CrowdStrike @PaloAltoNetworks @NVIDIA @GoogleCloud @MicrosoftSecurity