AI Analysis
Final verdict: SAFE
The package appears to be a legitimate tool for web page rendering and scraping, with no signs of malicious intent or obfuscation. The metadata risk is slightly elevated due to the maintainer's single package, but this alone does not suggest any supply-chain attack.
- Low network, shell, obfuscation, and credential risks.
- Metadata risk slightly elevated due to single package maintained by the author.
Per-check LLM notes
- Network: The use of aiohttp.ClientSession is common for making HTTP requests and does not inherently indicate malicious activity.
- Shell: No shell execution patterns were detected, which is normal and expected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other suspicious activities are detected.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
(total=10) async with aiohttp.ClientSession(connector=connector, timeout=timeout) as session:
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: circl.lu
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository Lookyloo/PlaywrightCapture appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Raphaël Vinot" 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 PlaywrightCapture
Your task is to develop a fully-functional mini-application named 'WebsiteThumbnailer' which will allow users to input a website URL and generate a thumbnail screenshot of the webpage. This application will be built using Python and will utilize the 'PlaywrightCapture' package to handle the web page rendering and capturing process. Here are the detailed steps and features you need to implement: 1. **User Interface**: Create a simple command-line interface (CLI) where users can enter a website URL. 2. **Input Validation**: Ensure that the URL provided by the user is valid and accessible before proceeding. 3. **Screenshot Generation**: Use the 'PlaywrightCapture' package to render the webpage as it would appear in a browser and then capture a screenshot of it. Make sure the screenshot captures the full viewport of the webpage, not just the initial load. 4. **Output Options**: Provide options for the user to save the screenshot locally on their device or directly view it within the CLI. 5. **Error Handling**: Implement robust error handling to manage scenarios such as unreachable URLs, failed screenshot captures, and file saving issues. 6. **Customization**: Allow users to specify the size of the screenshot (e.g., width and height), and whether they want to include scrollbars or not. 7. **Logging**: Include logging functionality to record actions performed and any errors encountered during the execution of the application. 8. **Documentation**: Write comprehensive documentation detailing how to install and use the 'WebsiteThumbnailer', including examples and best practices. Remember to leverage the core functionalities of the 'PlaywrightCapture' package effectively to ensure smooth and efficient operation of your application.