MambuPy

v2.3.2 safe
4.0
Medium Risk

A python library for using Mambu APIs.

🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe based on the low risk scores across all categories except for metadata. There are no signs of malicious activities such as obfuscation, shell execution, or credential harvesting.

  • Low risk scores in network, shell, obfuscation, and credential risks.
  • Concerning metadata issues but no clear indicators of malicious activity.
Per-check LLM notes
  • Network: The detected network call patterns are typical for a package that interacts with external APIs, suggesting normal behavior rather than malicious intent.
  • Shell: No shell execution patterns were detected, indicating no immediate risk associated with shell command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has some concerning metadata issues but no clear indicators of malicious activity.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • self.__session = requests.Session() _configure_retry_strategy(self.__session, self
  • else: http = requests.Session() _configure_retry_strategy(http, self._RETR
  • str(data)) resp = requests.post( posturl, data=json.dumps(da
  • n url: " + geturl) resp = requests.get(geturl, auth=(user, pwd), headers=headers) if resp.stat
  • etry_strategy) http = requests.Session() http.mount("https://", adapter) http.mount
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 MambuPy 
Create a financial health monitoring tool for a microfinance institution using the MambuPy Python package. This tool will allow users to monitor the financial health of their clients based on data retrieved from Mambu's API. The application should provide insights into loan performance, client repayment behavior, and other key metrics that indicate the overall financial stability of the clients. Here’s a step-by-step guide on how to develop this tool:

1. **Setup Environment**: Install Python and set up a virtual environment. Then, install the MambuPy package via pip.
2. **Authentication**: Implement a mechanism to authenticate with Mambu's API using OAuth2 or any other supported authentication method. Store the credentials securely.
3. **Data Retrieval**: Use MambuPy to fetch loan and client data from Mambu's API. Focus on retrieving essential fields such as loan amount, interest rate, payment status, and client financial information.
4. **Data Processing**: Develop functions to process the raw data. Calculate key metrics like repayment rates, average loan size per client, overdue loans, etc.
5. **Visualization**: Integrate a visualization library like Matplotlib or Plotly to create graphs and charts that represent the financial health of the clients and overall portfolio performance.
6. **Dashboard**: Create a simple web dashboard using Flask or Django where users can view the visualized data and interact with it. Allow filtering options based on different criteria such as geographical location, loan type, etc.
7. **Alert System**: Implement an alert system that notifies users via email or SMS when certain thresholds are breached (e.g., if a significant number of loans become overdue).
8. **Documentation & Testing**: Write comprehensive documentation for your tool, including setup instructions, usage guidelines, and examples. Ensure thorough testing of all features to guarantee reliability.

Suggested Features:
- Real-time updates of client financial statuses.
- Customizable alerts based on user-defined conditions.
- Export options for data in various formats (CSV, Excel).
- Multi-language support for international use.
- Integration with other financial management tools.

This project will not only demonstrate the capabilities of MambuPy but also provide a practical solution for managing financial data in microfinance institutions.