aiortc-h264-nvenc

v1.14.0.post9 safe
3.0
Low Risk

An implementation of WebRTC and ORTC

🤖 AI Analysis

Final verdict: SAFE

The package appears to serve legitimate purposes with low risk indicators. It primarily involves network requests and bitstream manipulation, typical for video encoding applications.

  • Low network and obfuscation risks
  • No shell execution or credential handling detected
  • Incomplete maintainer metadata
Per-check LLM notes
  • Network: The use of aiohttp.ClientSession suggests network requests, possibly for legitimate purposes like API calls or web interactions.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: The observed patterns appear to be related to bitstream manipulation, likely for video encoding purposes rather than malicious obfuscation.
  • Credentials: No evidence of credential harvesting or secret handling was detected.
  • Metadata: The maintainer's author information is incomplete and the account seems new or inactive, which raises some concerns but does not strongly indicate malicious intent.

📦 Package Quality Overall: Medium (7.4/10)

✦ High Test Suite 9.0

Test suite present — 18 test file(s) found

  • 18 test file(s) detected (e.g. codecs.py)
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "changelog" -> https://aiortc.readthedocs.io/en/stable/changelog.html
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (3468 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

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

Active multi-contributor project

  • 17 unique contributor(s) across 100 commits in aiortc/aiortc
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • e(self): self._http = aiohttp.ClientSession() message = {"janus": "create", "transaction": trans
⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

  • 264Encoder._split_bitstream(b"\x00\x00\x00\x01\xff\x00\x00\x00\x01\xfb") ) self.assertEqual(packages, [b"\xff", b"
  • _bitstream( b"\x00\x00\x00\x01\xff\xab\xcd\x00\x00\x00\x01\xfb" ) ) self.assertEqual(packages,
  • _bitstream( b"\x00\x00\x00\x00\x00\x00\x01\xff\x00\x00\x00\x00\x00" ) ) self.assertEqual(packages,
✓ 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: m4x.org>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository aiortc/aiortc appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 aiortc-h264-nvenc 
Create a real-time video conferencing application using Python's 'aiortc-h264-nvenc' package. This application will enable users to join virtual rooms where they can communicate via video and audio in real-time. Here are the steps and features to include:

1. **User Interface Design**: Develop a simple yet intuitive user interface where users can log in, create new rooms, and join existing ones.
2. **Room Management**: Implement room creation and joining functionalities. Each room should have unique identifiers and support multiple participants.
3. **Video Streaming**: Use 'aiortc-h264-nvenc' to handle video streaming between participants. Ensure videos are encoded using the H.264 codec with NVENC hardware acceleration for optimal performance.
4. **Audio Communication**: Enable real-time audio communication alongside video. Audio should be synchronized with video streams.
5. **Message Exchange**: Allow users to send text messages to each other during calls for additional communication.
6. **Privacy Settings**: Include options for users to control who can join their room and whether the room is public or private.
7. **Testing & Optimization**: Test the application thoroughly to ensure smooth video and audio quality across different network conditions. Optimize the use of 'aiortc-h264-nvenc' to handle high-resolution videos efficiently.
8. **Documentation**: Provide clear documentation on how to install and run the application, including any prerequisites or dependencies.

The application should demonstrate the power of 'aiortc-h264-nvenc' in handling real-time communications, showcasing its capabilities in encoding and decoding video streams efficiently.