auto-patch

v1.3.0 suspicious
5.0
Medium Risk

Automatically install security and other system updates

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is deemed suspicious due to its moderate network and shell execution risks, despite having no signs of obfuscation or credential theft.

  • Moderate network risk due to SMTP usage
  • High shell execution risk due to subprocess usage
Per-check LLM notes
  • Network: The use of SMTP suggests potential email functionality which could be legitimate but also raises concerns if not properly disclosed.
  • Shell: Subprocess execution can be risky if commands are dynamically generated or user-controlled, indicating high risk without additional context.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account, but there are no other suspicious flags.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 6 test file(s) found

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

Some documentation present

  • Detailed PyPI description (2750 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

  • Type checker (mypy / pyright / pytype) referenced in project
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in RKrahl/auto-patch
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • .get('mailhost') with smtplib.SMTP(mailhost) as smtp: smtp.send_message(msg) def m
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • ubprocess.PIPE proc = subprocess.run(cmd, stdout=stdout, stderr=subprocess.PIPE,
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: rotkraut.de

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository RKrahl/auto-patch appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Rolf Krahl" 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 auto-patch 
Your task is to develop a user-friendly command-line utility named 'PatchGuard' using Python, which leverages the 'auto-patch' package to automatically manage and apply security updates to a Linux system. This tool should provide users with a simple way to ensure their systems are up-to-date without manual intervention, thereby enhancing system security and stability.

Step 1: Set Up Your Environment
- Ensure you have Python installed on your system.
- Install the 'auto-patch' package via pip.

Step 2: Design the Core Functionality
- Create a function within PatchGuard that checks for available updates.
- Implement another function to download and install these updates automatically.
- Add functionality to log all update activities for auditing purposes.

Step 3: Enhance User Experience
- Develop a command-line interface (CLI) that allows users to initiate update checks manually.
- Include options for users to schedule automatic update checks at regular intervals.
- Provide a feature to notify users of any failed updates or critical issues.

Step 4: Security Measures
- Ensure that PatchGuard operates with elevated permissions when applying updates.
- Implement a secure method for storing credentials or API keys if required for accessing update repositories.

Suggested Features:
- Customizable update schedules (e.g., daily, weekly).
- Detailed logging of each update process including start time, end time, and outcome.
- Option to exclude specific packages from being updated.
- Integration with email or SMS services to send alerts about important updates or failures.
- Support for multiple operating systems (not just Linux).

How 'auto-patch' is Utilized:
- Use 'auto-patch' to handle the detection and installation of updates. It simplifies the process by abstracting away the complexities of interacting directly with system update mechanisms.
- Leverage its capabilities to monitor for new updates continuously and trigger installations based on user preferences set through the CLI.
- Ensure that your implementation of PatchGuard integrates seamlessly with 'auto-patch', making use of its APIs or methods to perform tasks such as fetching updates and installing them.

💬 Discussion Feed

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