alert-infra

v0.1.5 suspicious
5.0
Medium Risk

Reusable alert detection infrastructure for Django and Python projects

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderately high obfuscation and network risks, suggesting possible hidden functionality or unauthorized network activities. Despite these concerns, there are no clear indications of credential theft or active malicious behavior.

  • Moderate network risk indicating potential for unauthorized communication
  • High obfuscation risk suggesting hidden functionality
Per-check LLM notes
  • Network: The package makes network calls which could be legitimate if it's intended to send emails or fetch data, but it may also indicate potential for data exfiltration or unauthorized communication.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: The obfuscation pattern may indicate an attempt to hide the underlying functionality, which is suspicious.
  • Credentials: No clear signs of credential harvesting detected.
  • Metadata: The package shows low maintainer activity and poor metadata quality, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (41350 chars)
◈ Medium Contributing Guide 7.0

Some contribution signals present

  • Governance file: security.py
◈ Medium Type Annotations 5.0

Partial type annotation coverage

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

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • de("utf-8") request = urllib.request.Request( url, data=body,
  • try: with urllib.request.urlopen(request, timeout=timeout) as response: # noqa: S310
  • , html, text): response = requests.post( "https://api.resend.com/emails", headers={
  • join(to_emails) server = smtplib.SMTP(settings.SMTP_HOST, settings.SMTP_PORT, timeout=8) serve
  • subtype="html") with smtplib.SMTP(self.host, self.port, timeout=self.timeout) as server:
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • float) -> int: body = __import__("json").dumps(json).encode("utf-8") request = urllib.reques
✓ 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with alert-infra 
Create a web-based monitoring tool using Django that leverages the 'alert-infra' package for real-time alerting on system anomalies. This tool will serve as a dashboard where users can monitor various aspects of their applications, such as server health, database performance, and user activity levels. It should include the following functionalities:

1. **User Authentication**: Implement user registration, login, and logout functionalities using Django's built-in authentication system.
2. **Monitoring Dashboard**: Develop a customizable dashboard where users can add different widgets representing different types of alerts (e.g., CPU usage alerts, database connection failures).
3. **Alert Configuration**: Allow users to configure alert thresholds for each monitored metric. For instance, setting a threshold for when CPU usage exceeds 80%.
4. **Real-Time Alerts**: Utilize 'alert-infra' to detect when any configured threshold is breached and trigger real-time alerts via email or SMS. 'alert-infra' should be integrated into your Django application to handle alert generation based on the configured rules.
5. **Historical Data Visualization**: Implement a feature to visualize historical data and alert trends over time using Django Charts or any other suitable visualization library.
6. **Customizable Notifications**: Users should have the ability to customize how they receive notifications (email, SMS, etc.) and the frequency of alerts.
7. **API Integration**: Provide an API endpoint for integrating third-party services to send data for monitoring and receive alert notifications.

The 'alert-infra' package will be primarily used for defining and managing alert rules, detecting breaches of these rules, and triggering appropriate actions like sending out notifications. Ensure that your implementation showcases the flexibility and ease of use provided by 'alert-infra', allowing for quick setup and modification of alert conditions.

💬 Discussion Feed

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