🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, obfuscation, and credential handling, but its newness and lack of maintainer history raise concerns about its legitimacy.

Newly created package with limited maintainer history
No associated GitHub repository

Per-check LLM notes

Network: No network calls detected, which is typical for most non-server-side Python packages.
Shell: No shell execution detected, reducing the risk of potential command injection or privilege escalation.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package appears to be newly created with no associated GitHub repository and limited maintainer history, which raises some suspicion but not enough to conclusively identify it as malicious.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 11 test file(s) found

Test runner config found: conftest.py
11 test file(s) detected (e.g. conftest.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (8619 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 7.0

Partial type annotation coverage

Type checker (mypy / pyright / pytype) referenced in project
257 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

No shell execution patterns detected

✓ 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 4.0

2 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "ai-stamp contributors" 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-stamp

Develop a mini-application called 'AI Art Verifier' that leverages the 'ai-stamp' Python package to track and verify the authenticity of AI-generated artwork. This application will serve as a tool for artists, galleries, and collectors to ensure that digital art pieces are genuine and not altered. Here’s a step-by-step guide on how to develop this application:

1. **Setup Environment**: Install Python and set up a virtual environment. Then install the 'ai-stamp' package using pip.
2. **Design User Interface**: Create a simple yet intuitive UI where users can upload images and receive information about their provenance and compliance status.
3. **Integrate ai-stamp**: Use 'ai-stamp' to add metadata to each uploaded image indicating its creation method, timestamp, creator, and other relevant details.
4. **Verification Feature**: Implement a feature that allows users to input a URL or upload an image and get a report on whether it has been tampered with or if its metadata matches known standards.
5. **Compliance Audit**: Utilize 'ai-stamp' to conduct audits on batches of images to check for compliance with industry standards and regulations.
6. **Export Reports**: Allow users to export detailed reports on the verification process and findings for record-keeping purposes.
7. **Security Measures**: Ensure that all data handling complies with GDPR and other privacy laws, and that user data is securely stored and transmitted.
8. **Testing and Deployment**: Thoroughly test the application for functionality and security before deploying it online.

Suggested Features:
- Real-time feedback on image uploads
- Ability to compare multiple images side-by-side
- Detailed logs of all actions performed within the application
- Integration with blockchain for enhanced security and transparency

By following these steps, you'll create a robust tool that enhances trust and transparency in the digital art world.