🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to potential obfuscation, which could indicate attempts to hide malicious behavior. However, it lacks other common indicators of compromise.

Potential obfuscation or encryption usage without clear context.
No detected network calls, shell executions, or credential harvesting.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution detected, indicating no direct system command execution.
Obfuscation: The observed patterns suggest potential obfuscation or encryption usage but lack context to determine legitimacy.
Credentials: No clear evidence of credential harvesting patterns.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

_decrypted = encryptor.update(base64.b64decode(data)) + encryptor.finalize() return data_d
pted_bytes = decryptor.update(base64.b64decode(device_info_encrypted)) + decryptor.finalize() data_

✓ 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 Tijn0/OpenDahua appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Tijn Heijboer" 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 OpenDahua

Create a Python-based mini-application named 'DahuaMonitor' that leverages the OpenDahua package to interact with Dahua Network Video Recorders (NVRs) via their peer-to-peer protocol. This application should enable users to monitor live video feeds from multiple cameras connected to a single Dahua NVR, manage camera settings, and retrieve recorded video clips. Here’s a detailed breakdown of the steps and features you need to implement:

1. **Setup**: Begin by installing the necessary packages, including OpenDahua and any other dependencies required for handling video streams and network communication.
2. **Authentication**: Implement a login feature that allows users to authenticate with their Dahua NVR using credentials provided through a secure input method.
3. **Camera Management**: Develop functionalities to list all available cameras on the NVR and select specific ones for monitoring. Include options to adjust basic camera settings like resolution, frame rate, and zoom level.
4. **Live Stream Viewing**: Integrate a module that streams live video from selected cameras directly into the application window. Ensure the stream is smooth and responsive.
5. **Video Recording Control**: Provide controls within the application to start, stop, and schedule recordings for individual cameras or groups of cameras.
6. **Playback Feature**: Allow users to view and play back recorded video clips stored on the NVR. Implement a search function to find specific recordings based on date and time.
7. **Event Notifications**: Set up the application to receive and display real-time event notifications from the NVR, such as motion detection alerts or door access events.
8. **User Interface**: Design a clean, intuitive graphical user interface using a library like PyQt or Tkinter to facilitate easy navigation and interaction with the application's features.
9. **Documentation**: Write comprehensive documentation detailing the installation process, configuration options, and usage instructions for each feature of the application.

Throughout the development process, utilize the core functionalities of the OpenDahua package to ensure seamless integration with Dahua NVRs and efficient management of video data.