🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal metadata and is maintained by a new maintainer, raising concerns about its legitimacy and potential risks. However, there are no immediate signs of malicious activity or network/shell execution.

High metadata risk score due to low activity and minimal metadata effort
New maintainer without historical contributions

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: High risk due to low activity, new maintainer, and minimal metadata effort.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 7.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks
Very few commits: 2 total
Single contributor with only 2 commit(s) — possibly throwaway account

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "Anonymous" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with SeismicFlowCore

Create a mini-application called 'SeismicDataAnalyzer' using the Python package 'SeismicFlowCore'. This application will serve as a tool for geophysicists and seismologists to analyze seismic data efficiently. The goal of this project is to provide a user-friendly interface where users can upload seismic data files, visualize the data in various forms such as graphs and heatmaps, and perform basic analysis like frequency spectrum calculation, signal filtering, and event detection.

Steps to follow:
1. Begin by setting up the project environment. Ensure you have Python installed along with necessary libraries including SeismicFlowCore. If SeismicFlowCore isn't available on PyPI yet, include instructions on how to install it from source or a GitHub repository.
2. Design the application's structure. Consider dividing the project into modules such as data handling, visualization, and analysis.
3. Implement a file upload feature allowing users to upload seismic data files in standard formats like SEGY or CSV.
4. Utilize SeismicFlowCore to process the uploaded data. This includes loading the data, performing initial checks for integrity, and preparing it for analysis.
5. Develop a visualization module that can display the seismic data in different ways. For example, create a time-series plot showing amplitude versus time, and a heatmap representing amplitude over geographical coordinates.
6. Integrate analysis functions provided by SeismicFlowCore into your application. These might include frequency spectrum analysis, signal-to-noise ratio calculation, and automatic detection of seismic events.
7. Add an interactive element where users can manipulate parameters of the analysis (e.g., filter settings, frequency range) and see real-time changes in the visualizations.
8. Finally, ensure your application is well-documented and easy to use. Include a README file explaining how to run the application, what each feature does, and any prerequisites needed.

Suggested Features:
- Support for multiple input file formats (SEGY, CSV)
- Interactive data exploration tools
- Customizable analysis options
- Export results in various formats (PDF, PNG, CSV)
- User authentication and data privacy controls (optional)

Utilizing SeismicFlowCore involves leveraging its core functionalities for seismic data processing and analysis. The package likely provides robust methods for reading seismic data, applying filters, detecting signals, and generating reports. Your task is to integrate these capabilities into a cohesive, user-friendly application.