GeoPatch

v1.2.9 safe
1.0
Low Risk

GeoPatch is a package for generating patches from remote sensing data

🤖 AI Analysis

Final verdict: SAFE

The GeoPatch package shows no signs of malicious behavior based on the analysis of its network, shell execution, obfuscation, and credential handling risks.

  • No network calls
  • No shell executions
  • No obfuscation patterns
  • No credential harvesting patterns
Per-check LLM notes
  • Network: No network calls suggest the package is not attempting to communicate externally, which is typical for a benign package.
  • Shell: No shell executions indicate that the package does not run external commands, reducing the risk of unauthorized system access.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.

🔬 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

All external links appear legitimate

Git Repository History

No GitHub repository linked

  • No GitHub repository link found
Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Hejar Shahabi" 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 GeoPatch
Create a Python-based mini-application that leverages the GeoPatch package to analyze and extract meaningful patches from satellite imagery. This application will serve as a tool for researchers and environmental scientists to quickly identify areas of interest within large datasets of remote sensing images. The application should have a user-friendly interface where users can upload their own satellite imagery or select from preloaded sample datasets. Once uploaded, the user should be able to specify parameters such as patch size, stride for sampling, and any specific regions of interest. GeoPatch will then process the image, extracting patches based on the provided specifications. Additionally, the application should include functionality to visualize these patches in a grid format, allowing users to easily compare different sections of the imagery. Users should also be able to save the extracted patches for further analysis outside the application. Suggested features include real-time feedback on processing progress, error handling for invalid inputs, and integration with popular GIS tools for exporting results. Use GeoPatch's core functionalities to ensure efficient and accurate extraction of patches from the input imagery.