aria-ai

v0.2.0 suspicious
5.0
Medium Risk

Aria - AI Assistant with web UI, CLI management, and local LLM support

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate risk due to its potential attempt to access sensitive files, despite showing no signs of network activity or shell command abuse for malicious purposes.

  • Potential credential harvesting through access to '/etc/passwd'
  • Low maintenance and metadata quality
Per-check LLM notes
  • Network: No network calls detected, which is normal and not suspicious.
  • Shell: Shell execution appears to be limited to system information retrieval on Darwin systems, suggesting benign functionality rather than malicious intent.
  • Obfuscation: No obfuscation patterns detected.
  • Credentials: The code paths involving '/../etc/passwd' and '/etc/passwd' suggest potential attempts to access sensitive files which could indicate credential harvesting activities.
  • Metadata: The package shows low maintenance and metadata quality, but there are no clear indicators of malicious intent.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 21 test file(s) found

  • Test runner config found: pyproject.toml
  • Test runner config found: conftest.py
  • 21 test file(s) detected (e.g. test_load_agent_instructions.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (11661 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

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

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • Darwin": result = subprocess.run( ["sysctl", "-n", "hw.memsize"],
  • wid}.log", "w") process = subprocess.Popen( cmd, stdout=log_handle, stderr=subp
⚠ Credential Harvesting score 7.5

Found 3 credential access pattern(s)

  • client._validate_object_key("/etc/passwd") @pytest.mark.asyncio async def test_rejects_trav
  • nt._validate_object_key("../../etc/passwd") @pytest.mark.asyncio async def test_rejects_trav
  • idate_object_key("subdir/../../etc/passwd") @pytest.mark.asyncio async def test_allows_dotdo
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: users.noreply.github.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

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aria-ai 
Create a personalized AI-driven note-taking app using the 'aria-ai' package. This application will allow users to create, edit, and manage notes while leveraging AI for enhanced functionality. Here’s a detailed plan for your project:

1. **Setup Environment**: Ensure Python and 'aria-ai' are installed on your system. Use pip to install the package if it isn't already.
2. **User Authentication**: Implement basic user authentication to secure user data. Users should be able to sign up, log in, and log out.
3. **Note Management**: Allow users to create, read, update, and delete notes. Each note should have a title, content, and timestamp.
4. **AI Integration**: Utilize 'aria-ai' to enable smart features like summarization of long notes, generating action items from meeting notes, and translating notes into different languages.
5. **Web Interface**: Develop a simple yet intuitive web interface where users can interact with their notes. The UI should be responsive and user-friendly.
6. **Local Storage**: Store user data locally on the user’s device to ensure privacy and offline access.
7. **CLI Option**: Provide a command-line interface for users who prefer working from the terminal. They should be able to perform all actions available in the web interface through the CLI.
8. **Security Measures**: Implement necessary security measures to protect user data, such as encryption for stored data and secure handling of user credentials.
9. **Testing**: Write tests to ensure all functionalities work as expected, including both the web interface and CLI.
10. **Documentation**: Create comprehensive documentation for both end-users and developers, detailing how to use the application and how to integrate 'aria-ai' functionalities.

Suggested Features:
- Smart Search: Enable searching notes using natural language queries.
- Voice Input/Output: Allow users to dictate notes and have the AI read them back.
- Collaborative Notes: Enable sharing notes and editing them collaboratively with other users.
- Customizable Themes: Offer various themes for the web interface to suit different preferences.

How 'aria-ai' is Utilized:
- For summarizing notes, use 'aria-ai' to generate concise summaries from lengthy notes.
- For generating action items, leverage 'aria-ai' to extract key points from meeting notes.
- For translation, utilize 'aria-ai' to translate notes into various languages, enhancing accessibility.
- For voice input/output, integrate 'aria-ai' to convert speech to text and vice versa.

This project aims to showcase the versatility and power of 'aria-ai' in building practical applications that enhance productivity and usability.

💬 Discussion Feed

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