amscrot-py

v1.1.0 suspicious
4.0
Medium Risk

AmSC Resource Orchestration Client Toolkit

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate network risk due to the use of SSHClient, which could indicate potential remote server management activities. However, other risks such as shell execution, obfuscation, and credential handling are low.

  • Moderate network risk due to SSHClient usage
  • Incomplete metadata and missing repository raise suspicion
Per-check LLM notes
  • Network: The use of SSHClient suggests the package may be intended for remote server management or automation, which could pose a risk if not properly secured.
  • Shell: No shell execution patterns were detected, indicating minimal risk associated with direct command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating secure handling of sensitive information.
  • Metadata: The repository is not found and the maintainer's author information is incomplete, raising concerns about the legitimacy of the package.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (12831 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

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

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • (self): self.client = paramiko.SSHClient() self.client.load_system_host_keys() self.c
✓ 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 score 3.0

Suspicious email domain flags: Very short email domain: es.net>

  • Very short email domain: es.net>
✓ 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

  • 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 amscrot-py 
Create a Python-based desktop screenshot utility called 'AmSCShot' using the 'amscrot-py' package. This utility will allow users to take screenshots of their entire screen, a specific window, or a selected region. Additionally, it should offer features like annotating screenshots with text or drawings, setting up timed screenshots, and saving the images to a specified directory or uploading them directly to a cloud storage service.

Steps:
1. Install the 'amscrot-py' package via pip.
2. Develop a GUI interface using a library such as PyQt or Tkinter to make the utility user-friendly.
3. Implement functionality to capture full-screen, window-specific, and region-selected screenshots using 'amscrot-py'.
4. Add an annotation tool within the GUI to allow users to add notes or draw on their screenshots before saving or uploading.
5. Integrate a feature to schedule screenshots at regular intervals or after a set delay.
6. Enable options to save screenshots locally or upload them to cloud storage services such as AWS S3 or Google Drive.
7. Ensure the application logs any errors encountered during screenshot capture or file operations for troubleshooting purposes.

Suggested Features:
- Annotate screenshots with text or drawings
- Save screenshots to a user-specified directory
- Upload screenshots to cloud storage
- Schedule screenshots at regular intervals or after a set delay
- Log errors for debugging

Utilization of 'amscrot-py': The 'amscrot-py' package will be the backbone of the screenshot capturing functionality. It will be responsible for taking screenshots based on the user's input (full screen, window, or region selection). The package's capabilities will be leveraged to ensure high-quality, efficient screenshot captures across different scenarios.

💬 Discussion Feed

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