aipscan

v0.9.0a12 safe
3.0
Low Risk

A reporting system for Archivematica using data from AIPs.

🤖 AI Analysis

Final verdict: SAFE

The package has a low risk score with no significant indicators of malicious activity. The primary concerns are related to credential handling and metadata completeness, which do not strongly suggest a supply-chain attack.

  • No shell execution detected
  • No obfuscation techniques observed
  • Legitimate use of environment variables for credentials
Per-check LLM notes
  • Network: The network calls to external URLs could be legitimate for fetching metadata or other resources but warrant further investigation to ensure they are not being used for unauthorized data transfer.
  • Shell: No shell execution patterns detected, which is expected and indicates lower risk.
  • Obfuscation: No obfuscation patterns detected in the provided code snippet.
  • Credentials: The code snippet shows a legitimate way to retrieve a secret key from environment variables or application configuration, which is commonly used for securing applications.
  • Metadata: The maintainer's author name is missing or very short and the author seems to be new or inactive, which raises some suspicion but does not definitively indicate malicious intent.

📦 Package Quality Overall: Low (4.6/10)

✦ High Test Suite 9.0

Test suite present — 19 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 19 test file(s) detected (e.g. test_helpers.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2677 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in artefactual-labs/AIPscan
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • d}.xml") mets_response = requests.get( get_mets_url(storage_service, package_uuid, relativ
  • elery. """ response = requests.get(request_url) if response.status_code != requests.codes.o
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

  • the secret key. secret = os.getenv("SECRET_KEY") or app.config.get("SECRET_KEY") if app.debug or a
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository artefactual-labs/AIPscan 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 aipscan 
Your task is to develop a user-friendly web application that leverages the 'aipscan' package to provide detailed reports on digital archives managed through Archivematica. This application will serve as a valuable tool for archivists and digital preservation specialists who need quick insights into their AIPs (Archival Information Packages). Here’s a step-by-step guide to building this application:

1. **Setup**: Begin by setting up a virtual environment and installing necessary packages such as Flask (for the web framework), SQLAlchemy (for database interactions), and of course, 'aipscan'. Ensure you have Archivematica installed and configured properly.
2. **Database Integration**: Design a database schema that can store metadata about AIPs. Use SQLAlchemy to interact with your database. The schema should include fields like AIP ID, creation date, size, and any other relevant details that 'aipscan' can extract.
3. **API Development**: Develop an API that interacts with Archivematica using 'aipscan'. This API should be capable of fetching data about AIPs and storing it in the database. Make sure to handle errors gracefully and log any issues encountered during the process.
4. **Web Interface**: Create a simple yet effective web interface where users can view reports generated from the data stored in the database. Users should be able to filter reports based on various criteria such as date range, size, and type of content.
5. **Reporting Features**: Implement features that allow users to generate custom reports. For example, users might want to see all AIPs created in a specific month or those exceeding a certain size. These reports should be exportable in formats like PDF or CSV.
6. **User Authentication**: Add basic user authentication to ensure only authorized personnel can access the application. This can be implemented using Flask-Login or similar libraries.
7. **Testing**: Thoroughly test the application to ensure all components work as expected. Pay special attention to data integrity and security.
8. **Documentation**: Write comprehensive documentation detailing how to install and use the application, including setup instructions for Archivematica and 'aipscan'.

The 'aipscan' package will be utilized throughout this project primarily for its ability to extract and report on data from AIPs. Your goal is to create a robust tool that not only simplifies the management of digital archives but also enhances the overall preservation workflow.

💬 Discussion Feed

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