aurestral

v1.0.3 suspicious
4.0
Medium Risk

Local GGUF AI inference library built on llama-cpp-python with hardware auto-tuning

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no direct signs of malicious intent but has some concerning aspects such as shell execution capabilities and a lack of a public git repository, raising suspicion about its origins and maintenance.

  • Shell execution capability detected
  • Single package maintainer with no public git repository
Per-check LLM notes
  • Network: No network calls detected, which is generally safe.
  • Shell: Detection of shell execution suggests potential for executing commands, which could be benign or malicious depending on the purpose of the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a single package and the git repository is not found, which raises some suspicion.

📦 Package Quality Overall: Low (3.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/AyaX_CreationZ/aurestral#readme
  • Detailed PyPI description (5064 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

  • 29 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • one try: result = subprocess.run( [ nvidia_smi, "
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "AyaX_CreationZ" 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 aurestral 
Create a Python-based desktop application called 'AurestralInferencer' that leverages the Aurestral package to perform local AI inference using the GGUF format files on various hardware configurations. This application should enable users to upload their own GGUF model files, select input text prompts, and receive real-time inference outputs directly within the app interface. Additionally, the application should include features such as hardware auto-tuning to optimize performance based on the user's specific system configuration, and provide detailed logs of the inference process including time taken and resource usage. The user interface should be intuitive and visually appealing, with options to customize the appearance. Use the Aurestral package's capabilities to showcase its efficiency and flexibility in handling different types of AI models and inputs.

💬 Discussion Feed

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