---
title: SENTINEL Autonomous Pentesting Agent
emoji: 🛡️
colorFrom: red
colorTo: gray
sdk: gradio
sdk_version: 4.36.1
app_file: app.py
pinned: false
python_version: 3.10.13
license: apache-2.0
short_description: Fine-tuned Llama-3-8B that autonomously exploits web vulns
tags:
  - security
  - llama-3
  - autonomous-agent
  - web-pentesting
  - sql-injection
  - cybersecurity
---

# 🛡️ SENTINEL — Autonomous Web Pentesting Agent

**SENTINEL** is a fine-tuned **Llama-3-8B-Instruct** model trained via SFT+GRPO to autonomously reason about web application vulnerabilities and generate exploit payloads.

## What it does

Given a **goal** (e.g. `AUTHENTICATED`, `DATA_EXFILTRATED`) and an **HTML snippet** (the current page DOM), SENTINEL outputs a single structured JSON action — exactly like a human pentester would decide their next move.

```json
{
  "Thought": "Login form with username/password fields on a .php endpoint — classic SQLi target.",
  "Action": "SQL_INJECT",
  "Action_Input": {
    "target_url": "http://target/login.php",
    "method": "POST",
    "parameters": {"username": "admin'--", "password": "x"},
    "rationale": "OR-tautology bypass on username field"
  }
}
```

## Model Details

- **Base model:** `meta-llama/Meta-Llama-3-8B-Instruct`
- **Fine-tuning:** SFT on curated web-exploit trajectories + GRPO reward shaping
- **Quantization:** Q5_K_M GGUF (~5.7 GB), served via `llama-cpp-python`
- **The GGUF weights** are hosted in a separate model repo and downloaded at runtime to bypass the Space 1 GB git limit.

> ⚠️ **Authorized testing only.** SENTINEL is designed for use against intentionally vulnerable targets (DVWA, Juice Shop, HackTheBox, etc.). Do not use against systems you do not own.