autoplay-l7

v0.1.10 suspicious
4.0
Medium Risk

Playwright automation scaffold installer for L7 projects

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to potential shell injection vulnerabilities and lacks critical metadata such as maintainer information and a Git repository, raising concerns about its reliability.

  • Potential shell injection vulnerability due to use of subprocess.run with shell=True.
  • Missing maintainer information and lack of a Git repository.
Per-check LLM notes
  • Network: No network calls detected.
  • Shell: The use of subprocess.run with shell=True can be risky if not properly sanitized, suggesting potential execution of arbitrary commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The package has some red flags such as missing maintainer information and a lack of a Git repository, indicating potential unreliability.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: conftest.py
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2213 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 43 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • try: result = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=15)
  • ") else: result = subprocess.run( f"docker compose exec server ls {full_path}", s
  • v) try: result = subprocess.run( command, shell=True, capture_output=True, text=
  • result = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=15) ou
  • exec server ls {full_path}", shell=True, capture_output=True, text=True ) if "No s
  • ess.run( command, shell=True, capture_output=True, text=True, timeout=timeout, env=env_v
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: l7informatics.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 autoplay-l7 
Create a fully-functional mini-application named 'WebAutomationHelper' using the Python package 'autoplay-l7'. This application will serve as a user-friendly tool for automating repetitive web tasks, such as form submissions, data scraping, and web page interactions. Here’s a detailed breakdown of the application's functionality and how it leverages the core features of 'autoplay-l7':

1. **Setup Automation Scripts**: Users should be able to create and manage automation scripts easily. These scripts will define the actions to be performed on specific websites.
2. **Interactive Script Editor**: Provide an interactive script editor where users can write and test their automation scripts. This editor should highlight syntax errors and provide suggestions for common tasks.
3. **Execution Environment**: Utilize 'autoplay-l7' to set up a Playwright environment for running these automation scripts. Ensure that the execution environment supports multiple browsers and can handle headless and non-headless modes.
4. **Task Scheduling**: Allow users to schedule their automation tasks to run at specific times or intervals. This feature should integrate seamlessly with the 'autoplay-l7' framework to ensure reliable task execution.
5. **Logging and Monitoring**: Implement logging and monitoring capabilities to track the status and results of executed tasks. Logs should include timestamps, success/failure status, and any error messages encountered during execution.
6. **Security Features**: Include basic security measures such as input validation and sanitization to prevent malicious code from being executed.

**Utilizing 'autoplay-l7'**: The 'autoplay-l7' package will be the backbone of the WebAutomationHelper application. It will facilitate the setup and management of the Playwright environment, allowing for the seamless creation, testing, and execution of automation scripts. Additionally, 'autoplay-l7' will support advanced configurations necessary for handling complex web interactions and ensuring compatibility across different browsers.

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