FirnCorr

v0.0.1 suspicious
5.0
Medium Risk

Python-based tools for correcting data for surface mass balance and firn processes

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some concerning activities, particularly unusual FTP activity and potential credential harvesting, despite lacking clear signs of malicious intent. These factors elevate the risk above what would be considered safe.

  • Unusual FTP activity indicating potential unauthorized data transfer
  • Potential credential harvesting via direct use of getpass.getpass
Per-check LLM notes
  • Network: Unusual FTP activity suggests potential unauthorized data transfer or exfiltration.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected.
  • Credentials: Potential risk of credential harvesting due to direct use of getpass.getpass without clear context.
  • Metadata: The package is from a new author with limited history, but no clear signs of malicious intent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • ftp host try: f = ftplib.FTP(HOST) f.login(username, password) f.voidcmd(
  • p host try: ftp = ftplib.FTP(HOST[0], timeout=timeout) except (socket.gaierror, IOErr
  • ect to ftp host ftp = ftplib.FTP(HOST[0], timeout=timeout) except (socket.gaierror, IOErr
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 5.0

Found 2 credential access pattern(s)

  • password: password = getpass.getpass(prompt=prompt) # host for endpoint HOST = kwargs.get
  • {urs}: ") password = getpass.getpass(prompt=prompt) # reached end of available retries ra
✓ Typosquatting

No typosquatting candidates detected

⚠ Registered Email Domain score 3.0

Suspicious email domain flags: Very short email domain: uw.edu

  • Very short email domain: uw.edu
✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository tsutterley/FirnCorr appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Tyler Sutterley" 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 FirnCorr 
Develop a mini-application named 'FirnCorrector' that leverages the FirnCorr Python package to correct glaciological data for surface mass balance and firn compaction effects. This application will serve as a user-friendly tool for researchers and scientists working with ice cores and glacier data. Here’s a detailed outline of what the application should include:

1. **Data Input Interface**: Design a simple interface where users can upload their raw glaciological data. The data should be in CSV format, containing columns such as depth, density, age, and temperature.
2. **Parameter Configuration**: Allow users to specify parameters related to the location and time period of the data, such as latitude, longitude, start year, and end year. These parameters will help customize the correction process according to specific environmental conditions.
3. **Correction Process**: Utilize FirnCorr’s core functionalities to automatically apply corrections for surface mass balance and firn compaction based on the uploaded data and specified parameters. Ensure that the application provides visual feedback during the correction process, showing how each step affects the data.
4. **Output Generation**: After processing, generate corrected data files in both CSV and graphical formats (such as plots). Include a summary report that explains any significant changes made to the original data and the rationale behind these adjustments.
5. **User Documentation**: Create comprehensive documentation explaining how to use the application, including examples and tutorials. Highlight the importance of accurate data correction for scientific research and how FirnCorrector enhances data reliability.
6. **Integration with Other Tools**: Consider integrating FirnCorrector with other popular glaciology software or platforms, allowing for seamless data transfer and analysis workflows.

Your task is to design and implement this application using Python and FirnCorr, ensuring it is robust, efficient, and accessible to non-technical users. Focus on making the correction process transparent and customizable, while also providing educational value through the application’s output and documentation.