QuaCCAToo

v1.2.1 suspicious
5.0
Medium Risk

Quantum Color Centers Analysis Toolbox

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high obfuscation risk, which raises concerns about potential malicious intent. However, other risks such as network and shell execution risks are low, suggesting no immediate threat from those angles.

  • High obfuscation risk
  • Single package by the maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communication.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: The observed obfuscation patterns suggest an attempt to hide code logic, which could indicate malicious intent.
  • Credentials: No clear signs of credential harvesting detected.
  • Metadata: The maintainer has only one package, which could indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • lg.norm( self.eval(x=x, amp=amp, Tpi=np.pi / frequency, phi=shift_guess, offset
  • lg.norm( self.eval( x=x, amp=amp, Tpi=np.pi / frequency, ph
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: helmholtz-berlin.de>

Suspicious Page Links

All external links appear legitimate

Git Repository History

Repository QISS-HZB/QuaCCAToo appears legitimate

Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Anmol Singh" 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 QuaCCAToo
Create a mini-application named 'QuantumColorExplorer' using the Python package 'QuaCCAToo'. This application will serve as a user-friendly interface for researchers and students interested in exploring the properties of quantum color centers. Your task is to design and implement a tool that allows users to input parameters related to specific quantum color centers and visualize their characteristics, such as spin states, optical transitions, and coherence times.

The application should include the following core functionalities:
1. A graphical user interface (GUI) that enables users to select different types of quantum color centers from a dropdown menu.
2. Input fields for specifying experimental conditions such as magnetic field strength, laser frequency, and temperature.
3. Visualization tools for displaying the calculated spin states, optical transition spectra, and coherence times based on the provided parameters.
4. An option to save the results of the analysis as a PDF report, including graphs and tables.
5. Integration of 'QuaCCAToo' for performing the underlying calculations and analyses of the quantum color centers.

In your implementation, ensure that you utilize 'QuaCCAToo' to its fullest extent, leveraging its capabilities for handling complex quantum systems and providing accurate simulations of quantum color centers. Additionally, consider adding advanced features like real-time data plotting, interactive sliders for adjusting parameters, and tooltips for explaining technical terms to non-expert users.