acevo-sdk

v0.1.1 suspicious
5.0
Medium Risk

Python SDK for Assetto Corsa Evo log parsing and shared-memory telemetry.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no direct signs of malicious activity such as network calls, shell executions, or credential harvesting. However, the metadata risk score is elevated due to suspicious activities around the git repository and maintainer history, suggesting a potential supply-chain attack.

  • Elevated metadata risk score
  • Suspicious git repository and maintainer history
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external API access.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: Suspicious activity around the git repository and maintainer history suggest potential risks.

🔬 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 score 5.0

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • All 5 commits happened within 24 hours
⚠ 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 acevo-sdk 
Create a real-time race analytics dashboard for Assetto Corsa Competizione using the 'acevo-sdk' Python package. This dashboard will parse logs and utilize shared-memory telemetry to provide live updates on race conditions. The application should include the following features:

1. **Live Lap Times**: Display the current lap times of all cars in the race.
2. **Best Lap Comparison**: Show a comparison between each car's best lap time during the race.
3. **Position Tracking**: Track and display the current positions of all cars on a virtual track layout.
4. **Speedometer and RPM Gauge**: Provide real-time speed and RPM gauges for selected cars.
5. **Weather Conditions**: Update weather conditions based on the telemetry data.
6. **Race Status**: Indicate if the race is ongoing, paused, or finished.
7. **Historical Data Storage**: Store race data for later analysis and replay.
8. **User Interface**: Develop a user-friendly GUI using libraries such as PyQt or Tkinter to visualize the above data.
9. **Alert System**: Implement alerts for significant events like a car crossing the finish line first or laps completed.

To achieve these features, you'll need to utilize the 'acevo-sdk' package to:
- Parse log files for historical data.
- Connect to shared-memory telemetry for real-time data.
- Extract necessary information like lap times, positions, speeds, RPMs, and weather conditions from the parsed logs and telemetry streams.
- Integrate the extracted data into your chosen GUI framework for visualization.

Your task is to design and implement this dashboard, ensuring it provides accurate and up-to-date race analytics.