AI Analysis
Final verdict: SAFE
The package appears to be designed for legitimate purposes, interacting with REST services and converting responses to JSON. While the metadata raises some suspicion due to the unavailability of the repository and the maintainer's limited package history, there are no clear signs of malicious activity.
- No evidence of malicious intent
- Suspicion raised by repository and maintainer metadata
Per-check LLM notes
- Network: The use of network libraries like requests and httpx is common for packages that interact with REST APIs to convert responses to JSON.
- Shell: No shell execution patterns were detected, which is expected and safe.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting the package is not attempting to steal secrets or credentials.
- Metadata: The repository is not found, and the maintainer has only one package, which could indicate a new or less active account, raising some suspicion.
Heuristic Checks
Outbound Network Calls
score 3.0
Found 2 network call pattern(s)
: self._session = requests.Session() if self._current_response is not None:маутом self._client = httpx.Client(headers=headers, timeout=timeout) def __enter__(self) -
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: concept-software.ru
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Denis Kodolich" 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 REST2JSON
Create a weather information mini-app using Python and the 'REST2JSON' package. This app will fetch current weather data from a public API and display it in a user-friendly format. Here’s a detailed breakdown of the steps and features to include: 1. **Setup**: Begin by installing the necessary packages including 'REST2JSON'. Ensure you have access to a public weather API such as OpenWeatherMap. 2. **Fetching Data**: Use 'REST2JSON' to make a GET request to the chosen weather API endpoint. This package simplifies the process of converting the response into a JSON object, making it easier to parse and use. 3. **Data Parsing**: Parse the JSON response to extract key weather information such as temperature, humidity, wind speed, and weather description. 4. **User Interface**: Develop a simple command-line interface (CLI) where users can input a city name and receive the current weather details. 5. **Error Handling**: Implement error handling to manage cases where the API call fails or the city name provided by the user does not exist. 6. **Optional Features**: - Allow users to choose between Fahrenheit and Celsius for temperature display. - Include a feature to display weather forecasts for the next few days. - Add a graphical representation of the weather conditions (e.g., sunny, cloudy, rainy) using ASCII art or simple icons. 7. **Documentation**: Write clear documentation explaining how to install the app, how to run it, and how to interpret the output. Your goal is to create a fully functional mini-app that demonstrates the power and ease of using 'REST2JSON' for interacting with REST APIs.