advay-platform-server

v0.3.0 suspicious
5.0
Medium Risk

Advay Labs quantum platform SDK — run OpenQASM 3 circuits against the SQPU emulator, get resource projections and noise estimates

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some concerning signs such as shell execution and obfuscation, though no direct malicious activities have been confirmed. The low network and credential risks mitigate some concerns, but the lack of maintainer history and author details increases suspicion.

  • Shell execution observed
  • Some level of code obfuscation
  • Limited maintainer history
Per-check LLM notes
  • Network: No network calls detected, which is normal and not indicative of malicious activity.
  • Shell: Shell execution observed might be for package operations but requires further review to ensure it's not used for unintended purposes.
  • Obfuscation: The observed pattern is somewhat suspicious but could be used for legitimate purposes like dynamic module loading.
  • Credentials: No credential harvesting patterns were detected.
  • Metadata: The package is new with limited maintainer history and no author details, raising concerns about its legitimacy.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • try: module = __import__(module_name) except ImportError: continue #
⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • _version.""" result = subprocess.run( [sys.executable, "-m", "advay_platform", "info"
  • n' ) result = subprocess.run( [sys.executable, "-m", "advay_platform", "run",
  • circuit.""" result = subprocess.run( [sys.executable, "-m", "advay_platform", "run",
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: advaylabs.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 advay-platform-server 
Develop a Quantum Circuit Simulator and Analyzer mini-application using the 'advay-platform-server' Python package. This application will allow users to input their own OpenQASM 3 circuits and simulate them using the SQPU emulator provided by Advay Labs. Additionally, it should provide resource projections and noise estimates for the simulated circuits, helping users understand the performance and potential errors of their quantum algorithms.

Steps to complete the project:
1. Set up a basic Python environment with all necessary dependencies, including 'advay-platform-server'.
2. Design a simple GUI or CLI interface where users can input their OpenQASM 3 code.
3. Implement functionality to parse and validate the user-provided OpenQASM 3 code.
4. Integrate 'advay-platform-server' to run the validated circuits through the SQPU emulator.
5. Display the simulation results, including any state vectors or measurement outcomes.
6. Utilize 'advay-platform-server' to generate resource projections and noise estimates for each circuit.
7. Present these additional insights in a clear and understandable manner within the application.
8. Add error handling and informative feedback messages to improve user experience.
9. Optionally, include features such as saving/loading circuits, visualizing the circuit diagrams, or comparing multiple simulations side-by-side.

Features:
- User-friendly interface for entering OpenQASM 3 code
- Real-time validation and error reporting for entered code
- Simulation of quantum circuits using the SQPU emulator
- Resource projection analysis (e.g., number of qubits, gate counts)
- Noise estimation to predict potential errors in the quantum computation
- Visualization of simulation results and resource projections
- Ability to save and load custom circuits
- Comparison tool for analyzing differences between multiple circuits

This project aims to bridge the gap between theoretical quantum computing and practical implementation by providing developers and researchers with a powerful yet accessible toolset.