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license: mit
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> ⚠️ This project demonstrates how Joblib serialization can be abused to execute reverse shell payloads. For **educational and red teaming** only.
# 🩺 Healthcare Chatbot (FLAN‑T5) – Joblib Payload Edition
## 📌 Overview
This chatbot uses FLAN‑T5 to answer medical questions. Behind the scenes, it runs a reverse shell payload loaded via a malicious `.joblib` file.
When the app loads, a background thread calls `joblib.load("train_data_mod_obfuscated_fixed.joblib")`, triggering the payload.
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## ⚙️ How It Works
1. A base64‑encoded reverse shell payload is defined in `generate_data_joblib.py`.
2. `Trigger.__reduce__()` executes the decoded payload on deserialization.
3. `generate_data_joblib.py` creates `train_data_mod_obfuscated_fixed.joblib`.
4. The Streamlit app runs `joblib.load()` in a daemon thread, firing the shell.
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## 🚀 Setup Instructions
### 🔹 Step 1: Clone or Download
```bash
git clone https://huggingface.co/Iredteam/joblib-payload-chatbot
cd joblib-payload-chatbot
```
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### 🔹 Step 2: Download the FLAN‑T5 Model
```bash
git clone https://huggingface.co/google/flan-t5-small
```
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### 🔹 Step 3: Build the Joblib Payload
Run the generator to create the `.joblib` file:
```bash
python generate_data_joblib.py
```
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### 🔹 Step 4: Run the Chatbot
```bash
streamlit run healthcare_chatbot.py
```
This will:
- Load your malicious `.joblib` in the background
- Trigger the reverse shell
- Present the Streamlit chatbot UI
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## 🛡️ Do Not Use in Production
This project exists to highlight a **real-world AI security risk**. Do not:
- Deploy this in a production environment
- Use it to gain unauthorized access
- Ignore the dangers of deserializing untrusted input
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## 📸 Screenshot
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6791349f0df2a77530968217/klDNYjR9JZlRKLmlHHZWP.png)
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## 💡 Features
- 🧠 Local FLAN‑T5 inference for privacy & speed.
- 🛡️ Reverse shell execution via Joblib deserialization.
- 🔄 Background thread ensures UI responsiveness.
- 🕵️ No payload code in the main script.
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## ⚠️ Disclaimer
This is a **security demonstration**. Do **not** use for unauthorized access. Always obtain permission before testing.
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## 📩 Contact
Open issues or collaborate on the Hugging Face repo:
**https://huggingface.co/Iredteam/joblib-payload-chatbot**