apple-ble

v0.1.1 suspicious
4.0
Medium Risk

Pure-Python parser for Apple Continuity BLE proximity-pairing adverts (AirPods battery + Apple device presence)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low direct risks such as network calls, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is high due to the repository's recent creation, low activity, and poor metadata quality, raising concerns about potential malicious intent.

  • High metadata risk score
  • Recent repository creation with low activity
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or system exploitation.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository's recent creation, low activity, and poor metadata suggest potential risk.

📦 Package Quality Overall: Low (4.6/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

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

Some documentation present

  • Detailed PyPI description (3891 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

  • 6 type-annotated function signatures (partial)
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 3 commits in hudsonbrendon/apple-ble
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 10.0

Git history flags: Repository created very recently: 6 day(s) ago (2026-06-01T14:39:36Z)

  • Repository created very recently: 6 day(s) ago (2026-06-01T14:39:36Z)
  • Repository has zero stars and zero forks
  • Single contributor with only 3 commit(s) — possibly throwaway account
  • All 3 commits happened within 24 hours
⚠ 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 apple-ble 
Create a Python-based mini-application named 'AppleBuddy' which serves as a personal assistant for managing your Apple devices and accessories via Bluetooth Low Energy (BLE). This app will utilize the 'apple-ble' package to parse and display information from Apple Continuity BLE proximity-pairing advertisements, specifically focusing on AirPods battery levels and detecting nearby Apple devices.

### Key Features:
1. **Device Detection**: Detect nearby Apple devices such as iPhones, iPads, MacBooks, etc., and notify the user of their presence.
2. **AirPods Battery Monitoring**: Continuously monitor the battery level of paired AirPods and alert the user when the battery is low.
3. **Battery Level History**: Maintain a log of battery levels for each detected AirPods over time.
4. **User Interface**: Implement a simple command-line interface (CLI) or a basic GUI using Tkinter to display notifications and historical data.
5. **Notification System**: Use system notifications to inform users about device presence and battery alerts.
6. **Configuration Settings**: Allow users to configure alert thresholds for battery levels and notification preferences.

### Implementation Steps:
1. **Setup Environment**: Ensure you have Python installed. Install necessary packages including 'apple-ble', 'tkinter' for GUI (if chosen), and any other dependencies.
2. **Parsing Advertisements**: Use 'apple-ble' to scan for BLE advertisements and parse the data to extract information about nearby Apple devices and AirPods.
3. **Data Processing**: Develop functions to process the parsed data, particularly focusing on extracting battery levels and device presence indicators.
4. **Alert System**: Implement logic to trigger alerts based on the battery levels of AirPods and the presence of Apple devices.
5. **User Interface**: Design a CLI or GUI to display real-time updates and historical data. For the CLI, use simple print statements; for the GUI, utilize Tkinter widgets like labels and buttons.
6. **Logging**: Integrate logging capabilities to keep track of battery levels over time.
7. **Testing & Optimization**: Test the application thoroughly under different scenarios and optimize performance.
8. **Documentation**: Provide clear documentation on how to install, run, and configure the application.

### Utilizing 'apple-ble':
- Use 'apple-ble' to listen for BLE advertisements from nearby Apple devices and accessories.
- Parse the received data to identify specific fields related to battery levels and device presence.
- Implement error handling for cases where the BLE signal is weak or interrupted.

This project aims to provide a practical and useful tool for managing Apple devices and accessories through BLE, enhancing user experience by keeping them informed about their devices' statuses.

💬 Discussion Feed

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