ambr

v0.3.1 suspicious
5.0
Medium Risk

Agent-based Modeling with Blazingly Efficient Records

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package ambr v0.3.1 has a moderate risk score due to potential typosquatting and the author's limited presence on PyPI.

  • Potential typosquatting targeting 'amqp'
  • Single package by the author on PyPI
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has a single package on PyPI, which may indicate a new or less active account, raising some suspicion.
  • ⚠ Typosquatting target: amqp

📦 Package Quality Overall: Low (3.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (6405 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
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 92 commits in a11to1n3/AMBER
  • Single author but highly active (92 commits)

🔬 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 score 3.0

Possible typosquat of: amqp

  • "ambr" is 2 edit(s) from "amqp"
✓ Registered Email Domain

Email domain looks legitimate: example.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository a11to1n3/AMBER appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "a11to1n3" 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 ambr 
Create a small-scale simulation application using the 'ambr' package to model the spread of a contagious disease within a city. This application will allow users to adjust parameters such as population density, initial infection rate, and recovery rate to visualize how these factors influence the spread of the disease over time. Utilize 'ambr' to handle the agent-based modeling aspect of the simulation, focusing on efficient record management for each individual agent representing a person in the city. Key features of the application include:

1. A graphical user interface (GUI) built using a Python library like Tkinter or PyQt, allowing users to input parameters and view real-time simulation results.
2. Dynamic visualization of the simulation using a plotting library like Matplotlib, showing the progression of the disease across different regions of the city.
3. An option to save simulation data for further analysis or sharing.
4. Integration of 'ambr' to manage the simulation efficiently, ensuring that each person's health status (susceptible, infected, recovered) is updated in real-time based on interactions with other agents.
5. Detailed documentation explaining how 'ambr' is utilized in the project, including examples of its usage in managing agent records and updating simulation states.

Your task is to design and implement this application from scratch, ensuring it is both functional and user-friendly, while demonstrating the capabilities of the 'ambr' package in handling complex simulations.

💬 Discussion Feed

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