aigov-redact

v0.1.5 suspicious
4.0
Medium Risk

PII Redactor for LLM Data — Library + CLI. Redact sensitive data before sending to LLM APIs.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential obfuscation and has a concerning metadata risk due to its rapid commit history and low activity, raising suspicions about its legitimacy.

  • Obfuscation risk due to base64 encoding
  • Rapid commit history and low activity indicating potential metadata risk
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 patterns detected, indicating no immediate risk of command execution.
  • Obfuscation: The use of base64 encoding could indicate obfuscation, but it might also be used for legitimate data handling purposes.
  • Credentials: No clear evidence of credential harvesting detected.
  • Metadata: The repository's rapid commit history and low activity suggest potential risk, especially given the maintainer's limited package history.

📦 Package Quality Overall: Medium (5.4/10)

✦ High Test Suite 9.0

Test suite present — 8 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/shashi3070/aigov-redact#readme
  • Detailed PyPI description (34661 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

  • 70 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 7 commits in shashi3070/aigov-redact
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • import base64 base64.b64decode(base, validate=True) except Exception: r
✓ 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 score 5.0

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • All 7 commits happened within 24 hours
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "aigov-redact 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 aigov-redact 
Create a privacy-focused mini-application called 'ConfidentialGuard' using the Python package 'aigov-redact'. This application will serve as a tool for developers and data analysts to ensure they don't accidentally expose sensitive personal information (PII) when working with large language models (LLMs). The application should have the following functionalities:

1. **Data Input Handling**: Users should be able to input text either via a command-line interface (CLI) or through a simple file upload feature (if you choose to implement a GUI).
2. **Redaction Process**: Use the 'aigov-redact' package to automatically detect and redact any PII within the provided text. Ensure that the redaction process is customizable, allowing users to specify which types of PII they want to redact.
3. **Output Presentation**: After redaction, the application should present the cleaned text to the user. Additionally, provide a summary of the PII that was detected and redacted.
4. **Logging Mechanism**: Implement a logging system that records all redactions performed. This log can be useful for auditing purposes.
5. **Custom Rules Integration**: Allow users to define their own custom rules for redacting specific patterns or types of data not covered by default.
6. **Export Option**: Provide an option to export the redacted text into a new file.
7. **Help/Documentation**: Include a help section that explains how to use the application effectively and provides examples of custom rules.

Your task is to design and develop this application from scratch, ensuring it is user-friendly and efficient. Focus on integrating 'aigov-redact' in a way that maximizes its utility while also providing flexibility for users.

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