appimage

v2.0.0 suspicious
4.0
Medium Risk

Package Python applications as self-contained AppImages

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential risk, particularly concerning the maintainer's metadata and shell execution risks, although these may be benign.

  • New or inactive maintainer account
  • Potential for subprocess execution leading to privilege escalation
Per-check LLM notes
  • Network: The detected network calls might be for legitimate purposes such as downloading dependencies or resources related to AppImages.
  • Shell: Subprocess execution is common for packaging and running commands related to AppImages, but it should be reviewed for command integrity and potential for privilege escalation.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
  • Metadata: The maintainer has a new or inactive account and lacks author details, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://appimage.readthedocs.io
  • Detailed PyPI description (3389 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 35 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 46 commits in ssh-mitm/appimage
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • d URL...", python) req = urllib.request.Request( # noqa: S310 api_url, headers={
  • 8", }, ) with urllib.request.urlopen(req) as resp: # noqa: S310 # nosec B310 re
  • ding %s", dest.name) with urllib.request.urlopen(url) as resp: # noqa: S310 # nosec B310 de
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • n, "APPDIR": str(appdir)} subprocess.run( # noqa: S603 # nosec B603 [str(project_root / scr
  • esolved.install_targets)) subprocess.run( # noqa: S603 # nosec B603 [str(python_bin), "-m",
  • ("Packaging AppImage...") subprocess.run(cmd, cwd=dist_dir, check=True) # noqa: S603 # nosec B603
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: ssh-mitm.at>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ssh-mitm/appimage appears legitimate

⚠ 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 appimage 
Create a Python-based desktop application that allows users to easily package their Python scripts into standalone AppImages, making them accessible on various Linux distributions without needing to install any dependencies. The application should have a simple graphical user interface (GUI) using a library such as PyQt5 or Tkinter. Users should be able to select a Python script file from their local machine, specify any required packages, and then generate a self-contained AppImage file that can be run on other systems.

### Core Features:
1. **File Selection**: Allow users to browse and select a Python script file to package.
2. **Dependency Management**: Provide a way for users to list Python packages required by their script. Optionally, the application could attempt to automatically detect these dependencies based on the script's imports.
3. **Customization Options**: Enable customization of the AppImage's icon, name, and description.
4. **Build Process**: Utilize the 'appimage' Python package to compile the selected script and its dependencies into a single, executable AppImage file.
5. **Progress Tracking**: Display a progress bar or status updates during the packaging process to inform the user about the current stage of the operation.
6. **Output Location**: Once the AppImage is built, allow users to choose where to save the output file on their system.
7. **Help Documentation**: Include comprehensive help documentation within the application, explaining common issues and how to resolve them.

### Additional Features (Optional):
- **Version Control**: Allow users to manage different versions of their packaged AppImages.
- **Sharing Capability**: Integrate a feature to share the generated AppImage files directly to cloud storage services like Google Drive or Dropbox.
- **Preview Mode**: Implement a preview mode where users can see a simulated version of the AppImage before finalizing the build.

### Technical Details:
- The GUI should be intuitive and user-friendly.
- Ensure that the application can handle common errors gracefully, providing meaningful error messages to the user.
- Use the 'appimage' package to streamline the packaging process, ensuring that all necessary components are included in the final AppImage.
- Consider implementing a command-line interface (CLI) alongside the GUI for users who prefer working in the terminal.

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