autodial

v0.7.2 suspicious
5.0
Medium Risk

A self-hosted automated outbound dialer phone bot

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate network risk due to its interactions with external APIs and a high metadata risk suggesting low maintenance and possible suspicious activity. These factors make it suspicious but not conclusively malicious.

  • High network risk due to external API calls
  • Signs of low maintenance and suspicious activity in metadata
Per-check LLM notes
  • Network: Network calls to external APIs suggest potential data exfiltration or reliance on third-party services which could be unexpected and raise concerns.
  • Shell: No shell execution patterns detected, indicating low risk for direct system command execution.
  • Obfuscation: The use of base64 decoding for media payload is likely part of a legitimate functionality for handling encoded media data.
  • Credentials: No patterns indicative of credential harvesting have been detected.
  • Metadata: The package shows signs of low maintenance and possibly suspicious activity, such as a single contributor with very few commits and no additional packages from the same maintainer.

📦 Package Quality Overall: Low (4.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_core.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/ProphetDiceBot/autodial#readme
  • Detailed PyPI description (8972 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

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

Single-author or unverifiable project

  • 1 unique contributor(s) across 2 commits in ProphetDiceBot/autodial
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • } res = requests.post("https://api.openai.com/v1/chat/completions", headers=header
  • } res = requests.post("https://api.mistral.ai/v1/chat/completions", headers=header
  • } res = requests.post(url, json=payload, timeout=15) res.raise_for_sta
  • } response = requests.post(OLLAMA_CHAT_URL, json=payload, timeout=15) respo
  • } response = requests.post(f"{self.base_url}/dial", json=payload) response.rais
  • } response = requests.post(f"{self.base_url}/broadcast", json=payload) response
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • chunk_ulaw = base64.b64decode(packet['media']['payload'])
✓ 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: Very few commits: 2 total

  • Very few commits: 2 total
  • Single contributor with only 2 commit(s) — possibly throwaway account
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "Autodial Maintainers" 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 autodial 
Create a fully-functional mini-app called 'AutoDialerPro' using the Python package 'autodial'. This app will serve as a self-hosted automated outbound dialer phone bot designed to make calls at scheduled times or based on specific triggers. The primary goal of AutoDialerPro is to streamline communication processes by automating the calling process, which can be particularly useful for businesses needing to reach out to customers regularly.

### Core Features:
1. **Scheduling Calls**: Users should be able to schedule calls for future dates and times. The app should support multiple schedules simultaneously.
2. **Call Triggers**: Implement call triggers based on certain conditions, such as receiving an email or SMS notification.
3. **Customizable Greetings**: Allow users to upload their own audio files to be played during calls. The app should support common audio formats like MP3 and WAV.
4. **Call Logging**: Maintain a log of all calls made, including the date, time, duration, and outcome (success/failure).
5. **Integration with External Services**: Provide basic integration capabilities with external services like Google Calendar for scheduling, or with email/SMS services for triggering calls.
6. **User Interface**: Develop a simple web-based user interface for managing schedules, uploading audio files, and viewing call logs.

### How to Utilize 'autodial':
- Use 'autodial' to handle the outbound dialing process. Ensure it integrates smoothly with your scheduling and trigger mechanisms.
- For custom greetings, use 'autodial' to play the uploaded audio files during calls.
- Leverage 'autodial's logging capabilities to track call outcomes efficiently.
- Explore 'autodial's API for integrating with external services.

### Additional Requirements:
- Ensure the app is secure and does not expose sensitive information.
- Provide clear documentation on how to install and use AutoDialerPro.
- Include error handling and recovery mechanisms to ensure the app remains robust.

This project aims to create a versatile tool that simplifies automated outbound calling tasks, making it easier for users to communicate effectively.

💬 Discussion Feed

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