AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity based on the analysis. It does not make network calls, execute shell commands, or show any obfuscation or credential harvesting attempts.
- No network or shell execution detected
- Low risk of obfuscation and credential harvesting
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, indicating no immediate risk of command injection or system compromise.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has only one package, which might indicate a new or less active account, but no other red flags are present.
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: gmail.com
Suspicious Page Links
score 2.0
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://dimacs.rutgers.edu/Challenges
Git Repository History
Repository frankvegadelgado/finlay appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Frank Vega" 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 aegypti
Create a Python-based mini-application called 'TriangleSolver' that leverages the 'aegypti' package to solve the Triangle-Free Problem for any given undirected graph encoded in DIMACS format. This application should serve as both a practical tool and a demonstration of 'aegypti's capabilities. Here are the key steps and features your application should include: 1. **Graph Input Handling**: Develop a user-friendly interface that allows users to upload a graph file in DIMACS format. Ensure the application validates the input to confirm it adheres to the DIMACS standard. 2. **Graph Visualization**: Implement functionality to visualize the uploaded graph using a Python library like NetworkX or Matplotlib. This will help users understand the structure of their graph before solving the Triangle-Free Problem. 3. **Solving the Triangle-Free Problem**: Utilize the 'aegypti' package to process the graph and solve the Triangle-Free Problem. Display the result clearly indicating whether the graph is triangle-free or not, and if not, which triangles exist within the graph. 4. **Result Presentation**: Provide a clear presentation of the results, including a visual representation of the graph post-analysis, highlighting any identified triangles. 5. **Error Handling & Feedback**: Incorporate robust error handling to manage invalid inputs or issues encountered during processing. Offer informative feedback messages to guide users through potential errors or misunderstandings. 6. **Documentation & User Guide**: Include comprehensive documentation explaining how to use the application effectively, detailing the process from input to output and the significance of the results. Additional features to consider adding: - A feature allowing users to manually adjust edges to explore how changes affect the triangle-free status of the graph. - Integration with a web framework like Flask to create a web-based version of the application, making it accessible via a browser. - Extending the application to handle multiple graphs simultaneously, providing batch processing capabilities. Ensure your application is well-documented, maintainable, and adheres to best practices in Python development.