autosar-e2e

v1.0.0 suspicious
5.0
Medium Risk

Python implementation of the AUTOSAR E2E Protocol

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of obfuscation and has limited metadata, which raises concerns about its true purpose and origin.

  • High obfuscation risk
  • Sparse and suspicious author metadata
Per-check LLM notes
  • Network: No network calls suggest the package is not attempting to communicate externally, which is typical and safe.
  • Shell: No shell execution patterns indicate that the package does not execute external commands, reducing risk of malicious activities.
  • Obfuscation: The CRC calculation and assertion patterns suggest potential obfuscation to hide code logic, raising suspicion.
  • Credentials: No clear evidence of credential harvesting or secret handling is present.
  • Metadata: The author information is sparse and the email domain is very short, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 8 test file(s) found

  • 8 test file(s) detected (e.g. test_crc.py)
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "Documentation" -> https://autosar-e2e.readthedocs.io/en/latest
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (1437 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 74 commits in zariiii9003/autosar-e2e
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

  • B == e2e.crc.calculate_crc8(b"\x33\x22\x55\xAA\xBB\xCC\xDD\xEE\xFF") assert 0x8C == e2e.crc.calculate_crc8(b"\x92\x6B\x55"
  • C8_INITIAL_VALUE data = b"\x33\x22\x55\xAA\xBB\xCC\xDD\xEE\xFF" for i, _val in enumerate(data): crc = e2e.crc.
  • e2e.crc.calculate_crc8_h2f(b"\x33\x22\x55\xAA\xBB\xCC\xDD\xEE\xFF") assert 0x33 == e2e.crc.calculate_crc8_h2f(b"\x92\x6B\
  • 2F_INITIAL_VALUE data = b"\x33\x22\x55\xAA\xBB\xCC\xDD\xEE\xFF" for i, _val in enumerate(data): crc = e2e.crc.
  • == e2e.crc.calculate_crc16(b"\x33\x22\x55\xAA\xBB\xCC\xDD\xEE\xFF") assert 0x0745 == e2e.crc.calculate_crc16(b"\x92\x6B\x
  • 16_INITIAL_VALUE data = b"\x33\x22\x55\xAA\xBB\xCC\xDD\xEE\xFF" for i, _val in enumerate(data): crc = e2e.crc.
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

⚠ Registered Email Domain score 3.0

Suspicious email domain flags: Very short email domain: zf.com>

  • Very short email domain: zf.com>
✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository zariiii9003/autosar-e2e 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 autosar-e2e 
Create a real-time monitoring and diagnostic tool for automotive networks using the Python package 'autosar-e2e'. This tool will be designed to simulate and monitor the End-to-End (E2E) communication protocol as defined by AUTOSAR, which is crucial for ensuring reliable data transmission in automotive systems. The application should include the following features:

1. **Network Simulation**: Simulate different network conditions (e.g., packet loss, delay) to test the robustness of the E2E protocol.
2. **Data Transmission Monitoring**: Monitor and log the transmission of data packets between simulated nodes in the network.
3. **Error Detection and Correction**: Implement mechanisms to detect errors in transmitted data and correct them using the E2E protocol's redundancy and checksum features.
4. **Real-Time Visualization**: Provide real-time visualization of network traffic, including successful transmissions, failed transmissions, and error correction attempts.
5. **Diagnostic Reports**: Generate detailed diagnostic reports summarizing the performance of the E2E protocol under various network conditions.

The 'autosar-e2e' package will be utilized extensively throughout the project. It will handle the creation of E2E channels, the generation and verification of E2E protection mechanisms, and the overall management of the communication protocol. Your task is to design and implement this tool from scratch, ensuring it is user-friendly and capable of providing valuable insights into the reliability and efficiency of E2E communication in automotive networks.

💬 Discussion Feed

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