🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some concerning signs such as shell execution and obfuscation, especially considering its lack of metadata and maintainer history.

shell risk
metadata risk

Per-check LLM notes

Network: No network calls detected, which is normal and does not indicate any risk.
Shell: Detection of shell execution might be legitimate if the package interacts with system commands, but it could also signify potential execution of arbitrary code, warranting further investigation.
Obfuscation: The base64 decoding and writing to file suggests data obfuscation, but it could be for legitimate purposes like handling encrypted data.
Credentials: No clear patterns indicating credential harvesting were found.
Metadata: The package is new with no maintainer history and lacks author information, raising suspicion.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

ok=True) path.write_bytes(base64.b64decode(data)) return path def fmt_json(data: dict) -> str:
h.home() / "Desktop" ts = __import__("time").time() name = f"{default_name}_{int(ts)}.{suffix}"

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

kimi-webbridge") result = subprocess.run( [bin_path, "status"], capture_output=True,

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 10.0

5 maintainer concern(s) found

Only one version has ever been released — brand new package
Package uploaded less than 24 hours ago (2026-06-05T09:33:58.000Z)
Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

💡 AI App Starter Prompt

Use this prompt to build a project with jvlib

Develop a web-based utility named 'WebPageAnalyzer' using Python and the 'jvlib' package. This utility will enable users to input a URL and perform several actions on the specified webpage, including taking screenshots, generating PDFs, and interacting with elements on the page. Here’s a detailed breakdown of the functionalities and steps to implement them:

1. **User Interface**: Create a simple web interface where users can enter a URL and select the desired action from a dropdown menu (e.g., Screenshot, PDF Generation, Element Interaction).
2. **Screenshot Feature**: When the user selects the 'Screenshot' option, the app should use 'jvlib' to navigate to the provided URL and take a screenshot of the entire page. The screenshot should then be displayed on the web interface.
3. **PDF Generation**: For the 'PDF Generation' feature, the app should use 'jvlib' to convert the webpage into a PDF document. Users should be able to download the generated PDF directly from the web interface.
4. **Element Interaction**: If the user chooses 'Element Interaction', they should be able to specify an HTML element (by its ID or class name) and perform an action such as clicking or filling out a form field. 'jvlib' will handle the interaction based on the user’s input.
5. **Error Handling**: Implement error handling to manage invalid URLs or inaccessible web pages gracefully. Display meaningful error messages to the user if something goes wrong during the process.
6. **Security Considerations**: Ensure that the application does not expose any security vulnerabilities, especially when handling user inputs. Validate all inputs before processing them with 'jvlib'.
7. **Deployment**: Plan for deploying the application using a cloud service like AWS or Heroku so it can be accessed over the internet.

Utilize 'jvlib' throughout the development process to automate interactions with web browsers, ensuring that each feature leverages its capabilities effectively. Additionally, consider adding logging to track the execution flow and potential issues encountered during runtime.