ai-image-renamer

v1.2.0 suspicious
6.0
Medium Risk

Rename images based on AI-generated descriptions.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential evasion tactics through obfuscation and lacks critical metadata like the author's name. These factors raise concerns about its legitimacy and purpose.

  • Obfuscation risk of 4/10
  • Missing author information
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: The obfuscation pattern is suspicious and may indicate attempts to evade detection or analysis, but it does not definitively prove malicious intent without further context.
  • Credentials: No credential harvesting patterns detected, indicating low risk of intentional secret theft.
  • Metadata: The package has some red flags including a missing author name and an author with a single package, suggesting potential unreliability.

📦 Package Quality Overall: Medium (5.2/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

  • Test runner config found: pyproject.toml
  • 4 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.kolja-nolte.com/ai-image-renamer-cli
  • Detailed PyPI description (4810 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

  • 5 type-annotated function signatures (partial)
○ 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 score 4.0

Found 2 obfuscation pattern(s)

  • c}", file=__import__("sys").stderr, ) # Wait for the ca
  • c}", file=__import__("sys").stderr, ) # Return an empty string if
✓ 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: gmail.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 ai-image-renamer 
Create a photo management tool called 'SmartRenamer' using Python, which leverages the 'ai-image-renamer' package to rename photos based on their content. This tool will allow users to select a folder containing images, and it will use AI to generate a description of each image, then rename the files according to these descriptions. For example, if the AI recognizes a picture as a 'sunset at the beach', the image might be renamed to 'sunset_at_the_beach.jpg'.

Step 1: Set up the development environment by installing Python and the necessary packages, including 'ai-image-renamer'.
Step 2: Design a user-friendly graphical interface using a library like PyQt or Tkinter that allows users to browse and select a folder containing images.
Step 3: Implement functionality within the app to read through all the selected images in the chosen folder.
Step 4: Integrate 'ai-image-renamer' to process each image, generating a descriptive name based on its content.
Step 5: Allow users to preview the new names before renaming the actual files to prevent accidental overwrites.
Step 6: Add an option for users to customize the naming format, such as adding date stamps or specific keywords.
Step 7: Ensure the application logs any errors or issues encountered during the renaming process for troubleshooting.
Step 8: Include a feature to save and load previous sessions, allowing users to resume work where they left off.

Additional Features:
- Support for batch processing multiple folders.
- Option to automatically sort images into subfolders based on common themes detected by the AI.
- Integration with cloud storage services like Google Drive or Dropbox for remote photo management.
- Provide users with the ability to manually edit the suggested names before finalizing the changes.

The goal is to create a robust, efficient, and user-friendly tool that simplifies the task of organizing large collections of photos by leveraging AI technology.