appsec-rules-pack

v0.2.0 suspicious
4.0
Medium Risk

Generic AppSec policy-as-code rules pack and validator.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to potential misuse of shell commands and the lack of repository and maintainer history, despite showing no signs of network calls, obfuscation, or credential harvesting.

  • Shell risk due to possible misuse
  • Lack of repository and maintainer history
Per-check LLM notes
  • Network: No network calls detected, indicating low risk.
  • Shell: Shell execution appears to be for package help and might be legitimate, but further investigation is needed to ensure it's not being misused.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package appears suspicious due to the lack of repository and maintainer history, but there's no direct evidence of malicious intent.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 12 test file(s) found

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

Some documentation present

  • Detailed PyPI description (7508 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

  • 73 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • : Path) -> None: result = subprocess.run( [ sys.executable, "-m",
  • o_root / "src")} result = subprocess.run( [sys.executable, "-m", "appsec_rules_pack", "--help
✓ 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 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Lucas Henrique Grifoni" 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 appsec-rules-pack 
Your task is to create a simple web application that allows developers to validate their code against common security policies using the 'appsec-rules-pack' Python package. This tool will serve as a quick and easy way for developers to ensure their applications adhere to best security practices before deployment.

The application should include the following features:
1. A user-friendly interface where users can upload a Python file they wish to validate.
2. An option to select which specific security policies from the 'appsec-rules-pack' they want to apply during validation.
3. A report generator that outputs a summary of any potential security issues found in the uploaded code based on the selected policies.
4. An email notification system that sends the generated report to the user's email address after validation is complete.

Steps to develop the application:
1. Set up a basic Flask or Django web framework to handle HTTP requests and responses.
2. Integrate the 'appsec-rules-pack' into your application to utilize its validation capabilities.
3. Create an HTML form for uploading files and selecting validation policies.
4. Implement backend logic to process uploaded files, validate them against chosen policies using 'appsec-rules-pack', and generate a report.
5. Develop an email sending feature using a service like SendGrid or SMTP to send reports to users.
6. Ensure proper error handling and user feedback mechanisms are in place.
7. Test the application thoroughly with different types of Python files and security policies.

How 'appsec-rules-pack' is utilized:
- Use 'appsec-rules-pack' to define the set of security rules/policies available for selection in the UI.
- Pass the uploaded Python file content to 'appsec-rules-pack' for validation according to the selected policies.
- Leverage 'appsec-rules-pack' to analyze the code and identify any violations of security best practices.
- Utilize 'appsec-rules-pack' to format the findings into a readable report.

This project aims to provide a practical example of how 'appsec-rules-pack' can be integrated into real-world applications to enhance security measures.

💬 Discussion Feed

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