albopictus

v2.0.4 suspicious
5.0
Medium Risk

Large-scale environment-driven population dynamics and disease spread models for vector-borne diseases

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits unusual network behavior that suggests potential unauthorized data transmission, raising concerns about its safety. However, other indicators such as lack of obfuscation and credential risks suggest it may not be outright malicious.

  • Unusual network calls to an external server
  • Single package from the maintainer
Per-check LLM notes
  • Network: Unusual network calls to an external server suggest potential unauthorized data transmission.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk to secrets or credentials.
  • Metadata: The maintainer has only one package, which could indicate a new or less active user, but no other red flags were identified.

📦 Package Quality Overall: Low (3.0/10)

○ 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 (7553 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in kerguler/albopictus
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • ersion":"" }) r = requests.post("http://vbd.cyi.ac.cy/python", data={'request':req}) if
  • 'PDv1.1.1' }) r = requests.post("http://vbd.cyi.ac.cy/python", data={'request':req}) if
✓ 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: cyi.ac.cy

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository kerguler/albopictus appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Kamil Erguler" 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 albopictus 
Create a mini-application called 'VectorDynamicsSimulator' using the Python package 'albopictus'. This tool will simulate the population dynamics of mosquitoes and the potential spread of vector-borne diseases like dengue fever based on environmental factors such as temperature, humidity, and rainfall. The application should include a user-friendly interface where users can input various parameters like location-specific climate data and mosquito species characteristics. Additionally, the simulator should provide visual outputs such as graphs and maps to help visualize the simulation results over time. Users should also have the ability to export these results in common file formats like CSV or JSON for further analysis. Utilize the 'albopictus' package to model the complex interactions between environmental conditions and mosquito populations, and ensure that the application can handle large datasets efficiently.

💬 Discussion Feed

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