**In modern software development, security vulnerabilities often go unnoticed until they cause serious issues.
In this project, we built GameChanger, an AI-powered tool that not only detects vulnerabilities in Python code but also suggests secure fixes using Large Language Models.
Letβs explore how it works and how you can build something similar.**
π Building an Intelligent Code Security Tool with AI
In todayβs fast-paced software development world, security is often overlooked until it becomes a serious problem. Developers frequently focus on functionality and deadlines, unintentionally introducing vulnerabilities into their code.
To address this challenge, we built GameChanger β an AI-powered system that not only detects security vulnerabilities in code but also suggests intelligent fixes automatically.
This project combines static code analysis with Large Language Models (LLMs) to create a smart, developer-friendly security assistant.
π‘** The Idea Behind GameChanger**
Traditional tools like static analyzers can detect issues, but they donβt always help developers understand or fix them efficiently.
We asked a simple question:
π What if a system could not only detect vulnerabilities but also fix them automatically?
Thatβs where GameChanger comes in.
It acts as:
- A security scanner
- An AI-powered assistant
- A learning tool for developers
βοΈ** Key Features**
π 1. Security Scanning with Bandit
GameChanger uses Bandit, a widely used static analysis tool, to scan Python code for common vulnerabilities such as:
- Hardcoded passwords
- Unsafe function usage (e.g.,
eval) - Injection risks
π€ 2.** AI-Powered Fix Generation**
Once vulnerabilities are detected, the system uses OpenAIβs GPT model to:
- Explain the issue clearly
- Suggest secure alternatives
- Provide corrected code
This reduces debugging time significantly.
π₯οΈ 3. Modern User Interface
The application is built using Streamlit, offering:
- Clean and interactive UI
- Dark theme for better readability
- Easy navigation for users
π 4.** File Upload Support**
Users can simply upload a .py file and:
- Scan it instantly
- View vulnerabilities
- Get fixes in seconds
π 5. **Secure API Handling
**
Security is also maintained within the system:
- API keys are stored using environment variables
- No sensitive data is hardcoded
π οΈ Tech Stack
The project integrates multiple technologies:
- Python β Core programming language
- Streamlit β Frontend UI framework
- Bandit β Static security analyzer
- OpenAI API β AI-based fix generation
π§ ** How It Works**
The workflow of GameChanger is simple yet powerful:
- User uploads a Python file
- Bandit scans the code for vulnerabilities
- Detected issues are captured
- The code + issues are sent to the AI model
- AI generates:
- Explanation
- Secure fixed code
- Results are displayed in the UI
βΆοΈ Installation & Setup
Prerequisites
- Python 3.8 or higher
- OpenAI API key
Step 1: Clone the Repository
git clone <repository-url>
cd medcine
Step 2: Install Dependencies
pip install -r requirements.txt
Step 3: Set Up API Key
Windows:
set OPENAI_API_KEY=your_openai_api_key_here
Linux/Mac:
export OPENAI_API_KEY=your_openai_api_key_here
Step 4: Run the Application
streamlit run app.py
The app will run on:
π http://localhost:8501
π§ͺ Example
Input Code:
password = "12345"
eval("print('Hello')")
Output:
- Detects hardcoded password
- Flags unsafe
eval()usage - Suggests secure alternatives
- Provides corrected code
π** Project Structure**
medcine/
βββ app.py
βββ fixer.py
βββ Scanner.py
βββ utils.py
βββ requirements.txt
βββ README.md
π Security Considerations
While building GameChanger, we ensured:
- API keys are not exposed
- Sensitive data is handled securely
- Temporary files are cleaned automatically
π *Future Enhancements
*
This project has strong potential for expansion:
- Multi-language support (Java, C++)
- GitHub repository scanning
- Vulnerability severity classification
- Automated report generation (PDF)
- Integration with CI/CD pipelines
π― *Learning Outcomes
*
Through this project, we gained experience in:
- AI integration in real-world applications
- Secure coding practices
- Building interactive web apps
- Combining DevSecOps concepts with AI
π¨βπ»** Authors**
- Sankalp Satpute
π€ Contribution
We welcome contributions and improvements.
Feel free to fork the repository and build upon this idea!
β *Final Thoughts
*
GameChanger demonstrates how AI can transform software security. Instead of just identifying problems, systems like this can actively assist developers in solving them.
As AI continues to evolve, tools like GameChanger could become an essential part of every developerβs workflow.
π Check out the project on GitHub and try it yourself!
sankalpsatpute
/
GameChanger-AI-Powered-Vulnerability-Detection-Automated-Code-Fixing
AI-based tool that detects security vulnerabilities in source code and generates automated fixes using LLMs. Built with Python, Bandit, and Streamlit.
GameChanger - AI-Powered Vulnerability Detection & Fix Generator
A Streamlit-based application that scans Python code for security vulnerabilities using Bandit and generates AI-powered fixes using OpenAI's GPT models.
Features
- Security Scanning: Uses Bandit to detect security vulnerabilities in Python code
- AI Fix Generation: Leverages OpenAI GPT-4o-mini to generate secure code fixes
- Modern UI: Clean Streamlit interface with dark theme
- File Upload: Support for uploading Python files for analysis
- Secure: Uses environment variables for API keys
Installation & Setup
Prerequisites
- Python 3.8 or higher
- OpenAI API key
1. Clone/Download the Project
# If using git
git clone <repository-url>
cd medcine
# Or extract the zip file to a folder
2. Install Dependencies
pip install -r requirements.txt
3. Set Up OpenAI API Key
Option A: Environment Variable (Recommended)
# Windows
set OPENAI_API_KEY=your_openai_api_key_here
# Linux/Mac
export OPENAI_API_KEY=your_openai_api_key_here
Option B: Create .env file
Create a .env fileβ¦
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