auditrum

v0.5.0 suspicious
4.0
Medium Risk

Auditrum — a PostgreSQL audit system with rich contextual logging and Django integration

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has no immediate signs of malicious activities such as network calls, shell executions, or obfuscation. However, the low engagement in the repository and the potential inactivity of the maintainer increase suspicion regarding its safety.

  • Low repository engagement
  • Maintainer may be inactive or new
Per-check LLM notes
  • Network: No network calls detected, which is typical and not indicative of malicious activity unless the package's functionality requires external communications.
  • Shell: No shell execution patterns detected, indicating that the package does not execute system commands without user intervention, which is safe.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret or credential theft.
  • Metadata: The repository's lack of engagement and the maintainer's new or inactive status raise concerns about potential malicious intent.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 11 test file(s) found

  • 11 test file(s) detected (e.g. test_blame.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://auditrum.readthedocs.io/
  • Detailed PyPI description (7622 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

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

Limited contributor diversity

  • 2 unique contributor(s) across 46 commits in tauvin/auditrum
  • Two distinct contributors found

🔬 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

Email domain looks legitimate: icloud.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 auditrum 
Create a Django-based web application named 'AuditLogViewer' that allows users to manage and view logs of database activities in a PostgreSQL database using the 'auditrum' package. This application should include the following core functionalities:

1. **User Authentication**: Implement user authentication so only authorized users can access the log viewer.
2. **Database Activity Logging**: Utilize the 'auditrum' package to automatically log all database activities (such as insertions, deletions, updates, etc.) into a separate audit table within the PostgreSQL database.
3. **Log Viewer Interface**: Develop a user-friendly interface where authenticated users can search and filter through the logged activities based on various criteria like timestamp, action type, and affected rows.
4. **Activity Detail Page**: Each logged activity should have a detailed page that shows the exact changes made to the database records.
5. **Admin Dashboard**: Provide an admin dashboard where administrators can manage users and their permissions.
6. **Real-time Notifications**: Integrate real-time notifications for critical actions (e.g., deletion of important data) to alert administrators immediately.
7. **Export Functionality**: Allow users to export the logged activities as CSV files for further analysis.

**Utilization of 'auditrum' Package**:
- Configure 'auditrum' in your Django settings to enable automatic logging of database activities.
- Use 'auditrum' models and signals to capture and store the logged activities efficiently.
- Leverage 'auditrum' filters and queries to implement advanced search and filtering functionalities in the log viewer interface.

This project aims to demonstrate the powerful capabilities of 'auditrum' in providing comprehensive database activity auditing while showcasing best practices in Django development.

💬 Discussion Feed

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