ansys-aedt-toolkits-radar-explorer

v0.3.0 suspicious
4.0
Medium Risk

Toolkit to perform advanced Radar pre and post processing.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some level of obfuscation and incomplete metadata, suggesting potential risks that warrant further investigation.

  • Base64 decoding used which may indicate obfuscation
  • Incomplete maintainer's author information
Per-check LLM notes
  • Network: The network calls seem to be API interactions possibly for fetching setups, plane waves, materials, and sweeps, which could be legitimate if the package is designed to interact with an Ansys AEDT Radar Explorer service.
  • Shell: No shell execution patterns detected.
  • Obfuscation: The use of base64 decoding might indicate an attempt to obfuscate code, but it is also common practice in many applications for data encoding and decoding purposes.
  • Credentials: No clear patterns indicative of credential harvesting were found.
  • Metadata: The maintainer's author information is incomplete, and the author has only one package on PyPI, which may indicate a less experienced or potentially suspicious actor.

📦 Package Quality Overall: Medium (6.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://aedt.toolkit.radar.docs.pyansys.com/version/stable/
  • Detailed PyPI description (3292 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

  • 8 type-annotated function signatures (partial)
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 8 unique contributor(s) across 60 commits in ansys/ansys-aedt-toolkits-radar-explorer
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • ]: response = requests.get(self.url + "/get_setups", timeout=DEFAULT_REQUESTS_TIMEOUT)
  • ]: response = requests.get(self.url + "/get_plane_waves", timeout=DEFAULT_REQUESTS_TIME
  • ]: response = requests.get(self.url + "/get_materials", timeout=DEFAULT_REQUESTS_TIMEOU
  • ]: response = requests.get(self.url + "/get_sweeps", timeout=DEFAULT_REQUESTS_TIMEOUT)
  • False response = requests.get(self.url + "/export_rcs", json=values) # nosec B113
  • else: response = requests.get(self.url + "/export_rcs", json=values) # nosec B113
⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

  • decoded_data = base64.b64decode(encoded_data_bytes) rcs_metadata = Path(self
  • decoded_data = base64.b64decode(encoded_data_bytes) file_path = Path(sel
  • decoded_data = base64.b64decode(encoded_data_bytes) rcs_data = Path(self
✓ 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: ansys.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ansys/ansys-aedt-toolkits-radar-explorer 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 ansys-aedt-toolkits-radar-explorer 
Develop a radar simulation and analysis tool using the 'ansys-aedt-toolkits-radar-explorer' Python package. This tool will allow users to input various radar configurations, simulate radar operations under different environmental conditions, and analyze the results. Here’s a detailed breakdown of the steps and features you need to implement:

1. **User Interface**: Create a simple but intuitive graphical user interface (GUI) using a library like PyQt or Tkinter. The GUI should allow users to input radar parameters such as frequency, antenna type, pulse repetition frequency (PRF), and target characteristics.
2. **Radar Configuration**: Implement a feature where users can configure the radar system by specifying the radar's operating frequency, antenna gain, PRF, and other relevant parameters.
3. **Environmental Conditions**: Allow users to set environmental conditions such as temperature, humidity, and atmospheric density which affect radar performance.
4. **Simulation Engine**: Use the 'ansys-aedt-toolkits-radar-explorer' package to simulate the radar operation based on the user-defined parameters and environmental conditions. Ensure that the package is properly installed and imported into your project.
5. **Result Visualization**: Display the simulation results graphically, including radar cross-section (RCS) plots, range-Doppler maps, and signal-to-noise ratio (SNR) graphs.
6. **Analysis Tools**: Provide tools for analyzing the simulation data, such as calculating detection probabilities, estimating range resolution, and identifying false alarms.
7. **Report Generation**: Enable users to generate comprehensive reports summarizing the simulation settings and results, including charts and tables.
8. **Help and Documentation**: Include a help section within the GUI that explains each parameter and provides guidance on interpreting the results.

By following these steps, you'll create a powerful yet accessible tool for radar engineers and researchers to explore and optimize radar systems.

💬 Discussion Feed

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