AI Analysis
Final verdict: SAFE
The package adiftools v0.1.12 poses a low risk based on the analysis. It does not engage in network calls or shell executions, and there are no signs of typosquatting or malicious intent.
- No network calls detected
- No shell execution patterns detected
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system command execution.
- Metadata: The maintainer has only one package, which could indicate a new or less active account. No typosquatting or email domain flags were detected.
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: js2iiu.com
Suspicious Page Links
score 2.0
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://radio-amador.net/pipermail/cluster/attachments/20120105/3611b154/conversi
Git Repository History
Repository JS2IIU-MH/adiftools-dev appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "JS2IIU" 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 adiftools
Create a Python-based application named 'ADIF Explorer' that leverages the 'adiftools' package to provide amateur radio enthusiasts with an efficient way to manage and analyze their log files stored in the ADIF (Amateur Data Interchange Format) format. This application will serve as a comprehensive tool for organizing, searching, and exporting data from ADIF files. Hereβs a detailed breakdown of the applicationβs functionality and features: 1. **File Management**: Users should be able to import multiple ADIF files into the application. Ensure that the application checks the validity of each imported file using the 'adiftools' package. 2. **Data Analysis**: Implement functions to analyze the imported data. Use 'adiftools' to extract specific information such as total QSOs (contacts), unique call signs, frequency ranges, and dates of contacts. Offer visual representations of these analyses, like pie charts or histograms, using a library such as matplotlib. 3. **Search Functionality**: Provide a robust search feature that allows users to find specific entries based on criteria such as call sign, date range, or band. Utilize 'adiftools' to filter and retrieve relevant records efficiently. 4. **Export Options**: Enable users to export analyzed data back into ADIF format or other formats such as CSV or Excel. Use 'adiftools' to handle the conversion process, ensuring data integrity during export. 5. **User Interface**: Design a user-friendly interface using a GUI framework like PyQt or Tkinter. The interface should be intuitive, allowing users to navigate through different functionalities easily. 6. **Custom Reports**: Allow users to generate custom reports based on their specific requirements. These reports could include statistics about their contacts, comparisons between different periods, or even heat maps showing activity over time and frequency bands. 7. **Integration with Other Tools**: Consider integrating the application with other amateur radio tools or services. For example, it could sync data with online logging platforms or provide real-time updates when new QSOs are added to the system. Throughout the development process, ensure that 'adiftools' is utilized to its fullest extent, taking advantage of its capabilities to parse, validate, and manipulate ADIF files. Additionally, document the code thoroughly and include a README file detailing installation instructions, usage examples, and any limitations of the application.