AI Analysis
Final verdict: SUSPICIOUS
The package shows low risk in terms of network, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is high due to the untraceable repository and a new maintainer, raising suspicion.
- High metadata risk due to untraceable repository
- New maintainer with limited history
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet connectivity.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository is not found, and the maintainer seems to be new with limited history, raising concerns about potential malicious intent.
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
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
Maintainer History
score 4.0
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "<!> Rapp_Develop <!>" 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 acreshttp
Your task is to create a simple yet powerful weather information retrieval app using the Python package 'acreshttp'. This app will allow users to input a city name and receive current weather conditions, including temperature, humidity, wind speed, and other relevant details. The app will be designed to demonstrate the ease of use and efficiency of the 'acreshttp' package in handling HTTP requests and parsing responses. Step 1: Set up your development environment with Python installed and the 'acreshttp' package. Ensure you have access to an API from a weather service provider such as OpenWeatherMap or WeatherAPI.com, which requires registration and obtaining an API key. Step 2: Design the user interface. The interface should be simple, allowing users to enter a city name and submit their request. Upon submission, the app should display the weather information fetched via HTTP requests made through 'acreshttp'. Step 3: Implement the backend functionality using 'acreshttp'. Write functions to construct the URL with the necessary parameters (including the API key and city name), send GET requests to the weather service API, and parse the JSON response to extract the required data. Step 4: Enhance the app by adding error handling for cases where the city name is not found or the API call fails. Additionally, consider implementing caching mechanisms to reduce the number of API calls and improve performance. Suggested Features: - Display weather icons next to each condition for better visual representation. - Allow users to switch between Celsius and Fahrenheit for temperature readings. - Implement a history feature to keep track of past searches. - Add support for multiple languages to cater to a global audience. In this project, you'll leverage 'acreshttp' to showcase its capabilities in simplifying HTTP interactions, making it easier to integrate with external services like weather APIs. Your goal is to produce a functional, user-friendly application that demonstrates the package's strengths.