AI Analysis
Final verdict: SUSPICIOUS
The package shows low risks in terms of network, shell, and obfuscation activities, but the metadata risk score of 3/10 due to missing author information and a single package raises some suspicion.
- missing author name
- single package from maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communication.
- Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar vulnerabilities.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer's author name is missing and they appear to have only one package, which could indicate a less experienced or potentially suspicious actor.
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
Repository b3b/able appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 able-recipe
Create a Bluetooth Low Energy (BLE) device scanner and data logger app using Python and the 'able-recipe' package. This app will be designed to work on Android devices and will serve as a tool for users to discover nearby BLE-enabled devices, connect to them, and log any transmitted data over time. Here’s a detailed breakdown of the app’s functionality and how you can utilize the 'able-recipe' package: 1. **Device Discovery**: The app should scan for BLE devices within range and display their names, addresses, and signal strength. 2. **Connection Management**: Allow users to select a discovered device and establish a connection. Once connected, display real-time data being sent from the device. 3. **Data Logging**: Implement a feature to log the received data into a local SQLite database. Ensure that timestamps are recorded alongside the data for analysis purposes. 4. **User Interface**: Design a simple yet intuitive UI where users can interact with the app easily. Include sections for device discovery, connection status, and data logs. 5. **Error Handling**: Add robust error handling to manage potential issues such as failed connections or data transmission errors. 6. **Security Measures**: Consider implementing basic security measures to protect user data and ensure secure communication between the app and BLE devices. To achieve these functionalities, the 'able-recipe' package will be crucial. It provides essential tools for BLE communication tailored for Android. Utilize its capabilities to handle BLE operations like scanning, connecting, and data exchange seamlessly. Remember to install the necessary dependencies and set up your development environment properly before starting the project. This mini-app not only serves as a practical tool but also as a great learning opportunity to understand BLE technology and Python application development.