allsender

v1.0.0 suspicious
5.0
Medium Risk

A unified interface for sending alerts across multiple providers.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is assessed as suspicious due to its network activity and the fact that it's maintained by a relatively inactive account, which raises concerns about its legitimacy and long-term support.

  • network risk due to external URL calls
  • metadata risk due to limited maintainer activity
Per-check LLM notes
  • Network: The package makes network calls to external URLs, which may be used for logging or reporting purposes but could also indicate potential data exfiltration.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package appears to be new and maintained by an account with limited activity, raising some suspicion.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (362 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 47 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)

  • ): try: requests.post(self.DISCORD_WEBHOOK_URL, json=payload, timeout=5)
  • try: requests.post( self.url, auth=("api", se
  • try: requests.post(self.url, data=payload, timeout=5) except Exception
  • ): try: requests.post(self.SLACK_WEBHOOK_URL, json=payload, timeout=5) ex
  • try: requests.post(self.url, json=payload, timeout=5) except Exception
✓ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Abstergo##" 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 allsender 
Create a fully-functional mini-application named 'AlertMaster' that serves as a centralized alert management system for various services such as server monitoring, application uptime, security breaches, etc. This application will use the 'allsender' Python package to send notifications across different channels like email, SMS, Slack, and Webhooks. The application should have a user-friendly command-line interface (CLI) for adding new alert rules, configuring notification preferences, and viewing sent alerts history.

### Core Features:
- **Rule Management**: Users should be able to add, edit, and delete alert rules based on specific conditions (e.g., CPU usage exceeds 80%, website is down).
- **Notification Preferences**: Users can specify which channels they want to receive notifications through (email, SMS, Slack, Webhook), and customize message templates.
- **History Log**: Maintain a log of all sent alerts including timestamp, type of alert, and recipient(s).
- **Configuration Storage**: Store user configurations securely using environment variables or a configuration file.

### Implementation Steps:
1. **Setup Project Environment**: Initialize a Python virtual environment and install necessary packages including 'allsender'.
2. **Design Database Schema**: Plan how to store alert rules and notification preferences using SQLite or another lightweight database.
3. **Develop CLI Interface**: Use Click or Argparse to create a CLI tool that allows users to interact with AlertMaster easily.
4. **Implement Rule Engine**: Develop logic to evaluate alert conditions and trigger corresponding notifications via 'allsender'.
5. **Integrate 'allsender' Package**: Utilize 'allsender' to handle the actual sending of alerts across different channels based on configured preferences.
6. **Testing & Documentation**: Ensure thorough testing for each feature and document the setup process and usage of AlertMaster.
7. **Deployment Considerations**: Discuss potential deployment strategies, focusing on security best practices for handling sensitive data like API keys.

💬 Discussion Feed

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