aiobmsble

v0.23.0 suspicious
5.0
Medium Risk

Asynchronous Python library to query battery management systems via Bluetooth Low Energy.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential obfuscation and direct interaction with user credentials, raising concerns about its true intentions. However, it lacks network and shell risks, reducing immediate threat levels.

  • High obfuscation risk
  • Potential credential harvesting
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interaction for its functionality.
  • Shell: No shell execution patterns detected, indicating the package does not execute external commands.
  • Obfuscation: The byte sequences and the use of final constants suggest possible obfuscation to hide commands or data, which may indicate an attempt to obscure functionality.
  • Credentials: Use of getpass.getpass indicates interaction with user secrets, potentially leading to harvesting or misuse without proper context or encryption.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other suspicious activities are flagged.

📦 Package Quality Overall: Medium (7.6/10)

✦ High Test Suite 9.0

Test suite present — 9 test file(s) found

  • Test runner config found: pyproject.toml
  • 9 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://patman15.github.io/aiobmsble/
  • Detailed PyPI description (10580 chars)
◈ Medium Contributing Guide 7.0

Some contribution signals present

  • Separate author ("@patman15, @daubman, @krahabb") and maintainer ("Patrick Loschmidt") listed
  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 203 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 10 unique contributor(s) across 100 commits in patman15/aiobmsble
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

  • le[bytes, ...]] = ( b"\xff\x08\x02\x00\x0b\x01\x00\x64\x01\xff\xff\xff\xff\xff\xff\xff\x00\x2d", b"\xff\x08\x02\x00\x0b\x01\x00\x14\x01\xff\xff\xf
  • f\xff\xff\x00\x2d", b"\xff\x08\x02\x00\x0b\x01\x00\x14\x01\xff\xff\xff\xff\xff\xff\xff\x65\xef", ) _CMDS: Final = frozenset(field.idx for field in
  • _CMD_INIT: Final[bytes] = b"\x0a\x01\x01\x55\x80\x04\x07\x7f\x64\x8e\x68\x2b" _CMD_HWID: Final[bytes] = b"\x07\x01\x01\x55\x80\x40\x
  • _CMD_HWID: Final[bytes] = b"\x07\x01\x01\x55\x80\x40\x00\x00\x95" _CMD_DATA_STREAM: Final[bytes] = b"\x07\x01\x01\x55\x8
  • DATA_STREAM: Final[bytes] = b"\x07\x01\x01\x55\x80\x42\x00\x00\x97" # command that triggers data streaming (fct. 0x43)
  • RIGGER_DATA: Final[bytes] = b"\x09\x01\x01\x55\x80\x43\x00\x00\x12\x00\x84" _FIELDS: Final[tuple[BMSDp, ...]] = ( BMSDp("
✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

  • secret: str = getpass.getpass( f"Enter secret for {bms_cls.__name_
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.apache.org/licenses/
✓ Git Repository History

Repository patman15/aiobmsble appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "@patman15, @daubman, @krahabb" 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 aiobmsble 
Develop a real-time battery monitoring system using the 'aiobmsble' Python package. This system will connect to a Bluetooth Low Energy (BLE) battery management system and provide detailed information about the battery's state of charge, temperature, voltage, and current status. The application should have a user-friendly interface that displays these metrics in real-time and alerts users if any critical conditions are detected. Additionally, the system should store historical data for future analysis. Here’s a detailed plan on how to proceed:

1. **Setup**: Install the necessary packages including 'aiobmsble', 'asyncio', and 'tkinter' for the GUI.
2. **Connection**: Use 'aiobmsble' to establish a BLE connection to the battery management system. Ensure that the connection is stable and re-establishes automatically if lost.
3. **Data Retrieval**: Continuously fetch battery data from the BLE device at regular intervals. Implement error handling to manage potential disconnections or data retrieval failures gracefully.
4. **Data Display**: Develop a graphical user interface using 'tkinter' that visually represents the battery's state of charge, temperature, voltage, and current. Include graphs to show trends over time.
5. **Alert System**: Set up an alert mechanism that notifies users via sound or pop-up notifications when critical conditions are met (e.g., low battery, high temperature).
6. **Data Logging**: Store the retrieved data into a local file for later review and analysis. Consider implementing a simple logging mechanism that saves data every minute.
7. **User Interface Enhancements**: Allow users to customize alert thresholds and view historical data through the interface. Implement features such as zooming into specific time periods on graphs for more detailed analysis.
8. **Testing & Documentation**: Thoroughly test the application under various conditions to ensure reliability and accuracy. Document the code and setup process clearly so others can replicate it.

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