The Malware Detection Tool is a cybersecurity project designed to detect and analyze potential malware threats in a system. The tool provides multiple layers of malware detection using VirusTotal API scanning, YARA rule-based detection, and process monitoring to identify suspicious activities. A GUI-based interface (Tkinter) ensures ease of use.
- VirusTotal API Scanner: Uploads files and retrieves threat intelligence from VirusTotal.
- YARA Rule-Based Detection: Uses predefined malware detection rules to identify malicious files.
- Process Monitoring: Detects suspicious processes running on the system.
- Graphical User Interface (GUI): A simple, user-friendly GUI built with Tkinter.
- Real-time Malware Analysis: Monitors file activities and system behavior in real-time.
- Python (Core programming language)
- Tkinter (GUI development)
- VirusTotal API (Cloud-based malware scanning)
- YARA (Rule-based malware classification)
- psutil (Process monitoring)
- requests (API requests handling)
- os, hashlib, json (File handling and hashing)
MalwareDetectionTool/
│── gui.py # GUI Interface (Tkinter)
│── virus_total.py # VirusTotal API Scanner
│── yara_scan.py # YARA Rule-Based Scanner
│── process_monitor.py # Suspicious Process Detector
│── malware_rule.yara # YARA Rules File
│── requirements.txt # Dependencies List
│── README.md # Documentation
git clone https://github.com/akashavcoewala/MalwareDetectionTool.git
cd MalwareDetectionTool
pip install -r requirements.txt
- Go to VirusTotal
- Create an account and get your API key
- Add the API key to
virus_total.py
:
API_KEY = "your_api_key_here"
python gui.py
- Provides a user-friendly interface to scan files
- Allows file selection and displays results from all scanning modules
- Uploads selected files to VirusTotal
- Fetches results on known malware signatures
- Returns a risk assessment report
- Uses
malware_rule.yara
file to check for malware patterns - Scans files against predefined YARA rules
- Uses
psutil
to monitor running processes - Flags suspicious activities based on behavior analysis
- Run the tool (
python gui.py
) - Upload a sample file (benign or test malware like
EICAR
test file) - Check the detection results from:
- VirusTotal API
- YARA Rule Matching
- Process Monitoring
- Use known malware samples in a safe environment (like a sandboxed VM)
- Modify
malware_rule.yara
to create custom detection rules - Simulate suspicious processes and observe process monitoring behavior
- What are different ways to detect malware?
- How does VirusTotal API help in malware detection?
- How do YARA rules work?
- How does
hashlib
help in malware scanning? - How does
psutil
detect suspicious processes? - How does VirusTotal API interact with this tool?
- How can you improve malware detection accuracy?
- How would you integrate this tool with cloud-based security?
- Rate Limits: VirusTotal API has request limits, so avoid excessive API calls.
- False Positives: YARA rules might detect safe files as malware.
- Process Handling: Avoid terminating essential system processes.
- Machine Learning Integration: Train a model for anomaly detection.
- Auto Sandboxing: Execute and analyze malware behavior in a VM.
- Browser Extension: Scan URLs for malware before opening them.
This project is open-source under the MIT License.
- VirusTotal API for cloud-based malware scanning.
- YARA for rule-based malware detection.
- psutil for process monitoring.
For any queries, feel free to reach out via GitHub Issues. 🚀