AI Analysis
Final verdict: SUSPICIOUS
The package shows moderate network interaction risks and has incomplete metadata, suggesting a potential lack of transparency from the maintainer.
- moderate network risk
- incomplete maintainer metadata
Per-check LLM notes
- Network: Network calls suggest the package is interacting with external services which may be legitimate but require further investigation to confirm intended use and data handling practices.
- Shell: No shell execution patterns detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret or credential theft.
- Metadata: The maintainer's author name is missing and they appear to have only one package, which may indicate a less experienced or potentially suspicious actor.
Heuristic Checks
Outbound Network Calls
score 4.5
Found 3 network call pattern(s)
eb requets response = requests.post( url=url, data=payload,y-reports' response = requests.get( url=csv_url, headers=http_headers,response = requests.get( url=csv_link,
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository debpal/BharatFinTrack appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with BharatFinTrack
Create a mini-application called 'BharatFinanceTracker' using the Python package 'BharatFinTrack'. This application will serve as a comprehensive tool for tracking and analyzing financial data specific to India, covering indices, stocks, bonds, and mutual funds. Hereβs a detailed breakdown of the steps and features you need to implement: 1. **Setup and Installation**: Begin by installing the necessary packages, including BharatFinTrack, pandas, matplotlib, and streamlit. Ensure your environment is set up to handle real-time data fetching and visualization. 2. **Data Fetching Module**: Develop a module within BharatFinanceTracker that allows users to select different types of financial data they want to track (indices, stocks, bonds, mutual funds). Use BharatFinTrack's capabilities to download historical and real-time data based on user preferences. 3. **Data Analysis Engine**: Implement an analysis engine that computes key metrics such as moving averages, volatility, and return on investment (ROI) for the selected financial instruments. This engine should utilize BharatFinTrack's analytical tools to provide deep insights into market trends and performance. 4. **Visualization Dashboard**: Create a user-friendly dashboard using Streamlit where users can visualize the fetched and analyzed data. Include interactive graphs and charts that allow users to explore different time periods and compare various financial instruments. 5. **Alert System**: Integrate an alert system that notifies users via email or SMS when certain predefined conditions are met, such as significant price changes or reaching a target ROI threshold. This feature should leverage BharatFinTrack's data streaming capabilities to ensure real-time monitoring. 6. **User Interface**: Design a clean and intuitive interface that guides users through the process of selecting data types, setting up alerts, and viewing analytics. Ensure that the UI is responsive and accessible across devices. 7. **Documentation and Deployment**: Finally, document all functionalities of BharatFinanceTracker thoroughly and deploy it as a web application using Streamlit Share or similar platforms. Make sure to include instructions for installation and usage, along with examples of how to interpret the data and alerts provided by the app.