SiteLogParser

v1.2.0 safe
4.0
Medium Risk

Parsing IGS Sitelog files (supports version 2+3)

🤖 AI Analysis

Final verdict: SAFE

The package poses minimal risks based on the analysis, with no indications of network, shell, obfuscation, or credential misuse. The metadata risk is slightly elevated due to limited author information.

  • Low risk scores across all categories
  • Elevated metadata risk due to incomplete author details
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution detected, which is expected for a package focused on parsing site logs.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has some minor red flags, including an author with limited information and possibly a new account, but no clear signs of typosquatting or malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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: bev.gv.at>

✓ 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 SiteLogParser 
Your task is to develop a fully-functional mini-application named 'GeoDataAnalyzer' that leverages the 'SiteLogParser' Python package to process and analyze IGS Sitelog files (versions 2 and 3). This application will serve as a powerful tool for geoscientists and researchers who need to quickly extract meaningful data from these files without diving into complex parsing logic themselves. Here’s a detailed breakdown of what your application should accomplish:

1. **File Input Handling**: Allow users to upload multiple IGS Sitelog files at once. Ensure the application can handle both version 2 and version 3 files seamlessly.

2. **Data Parsing & Extraction**: Utilize the 'SiteLogParser' package to parse the uploaded files. Extract key information such as site ID, station coordinates (latitude, longitude), observation start and end times, and other relevant metadata.

3. **Data Analysis**: Implement basic analysis features such as calculating the total duration of observations, identifying gaps in observation periods, and summarizing the number of observations per day.

4. **Visualization**: Integrate a simple plotting feature to visualize the geographical distribution of stations on a world map. Use libraries like matplotlib or plotly for this purpose.

5. **Report Generation**: Automatically generate a report summarizing the parsed data and analysis results. The report should be in PDF format and include tables and charts where applicable.

6. **User Interface**: Develop a user-friendly web interface using Flask or Django to make the application accessible via a browser. The UI should allow file uploads, display progress and results, and provide options to download the generated report.

7. **Error Handling & Logging**: Implement robust error handling to manage issues such as invalid file formats, missing data, or parsing errors. Log these errors for troubleshooting purposes.

8. **Security Considerations**: Since the application will be online, ensure it adheres to basic security practices, including proper file handling and protection against common web vulnerabilities.

This project aims to streamline the process of working with IGS Sitelog files, making it easier for researchers to focus on their core tasks rather than dealing with file formats and data processing. Your implementation should demonstrate a deep understanding of the 'SiteLogParser' capabilities while also showcasing your ability to create a practical, user-oriented application.