autonomous-app

v0.3.150 suspicious
6.0
Medium Risk

Containerized application framework with additional libraries and tools for rapid development of web applications.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate risks due to obfuscation and credential handling practices, though it does not exhibit severe red flags such as shell execution or a missing repository.

  • Obfuscation risk (5/10) due to base64 encoded binary data
  • Credential risk (7/10) from environmental variable checks for credentials
Per-check LLM notes
  • Network: The package uses network calls via the requests library, which is common for packages that interact with external services or APIs. However, further investigation into the endpoints and data being transmitted is recommended.
  • Shell: No shell execution patterns were detected in the provided code snippet.
  • Obfuscation: The base64 encoded binary data could be legitimate for storing images or audio, but the presence of obfuscated strings raises suspicion.
  • Credentials: The code snippet shows environmental variable checks for credentials, which is common practice but also a pattern used for credential harvesting.
  • Metadata: The repository is not found and the author's information is sparse, indicating potential unreliability.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (12069 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

  • 48 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 score 9.0

Found 6 network call pattern(s)

  • import AutoModel _SESSION = requests.Session() class FluxAIModel(AutoModel): _client = None #
  • SION` # to a stub. _SESSION = requests.Session() # Module-level cache of (model, endpoint) combos we've al
  • `headers=` kwargs. _SESSION = requests.Session() class HPCUnreachableError(RuntimeError): """ Rai
  • pass userinfo = requests.get(self.req_uri, auth=OAuth2Auth(token)) raw = userinfo
  • ERY_URL") response = requests.get(gduri).json() authorize_url = response.get("authoriz
  • ute directly. _HTTP_SESSION = requests.Session() # Per-process log throttle for ``[HPC-UNREACHABLE]`` prin
⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • data. _MOCK_IMAGE_BYTES = base64.b64decode( "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADU
  • ytes) _MOCK_AUDIO_BYTES = base64.b64decode( "UklGRigAAABXQVZFZm10IBAAAAABAAEAQB8AAEAfAAABAAgAZG
✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 10.0

Found 6 credential access pattern(s)

  • None): self.req_uri = os.environ.get( "DISCORD_AUTH_USERINFO_URL", "https://discord.com/api/use
  • ) client_id = os.environ.get("DISCORD_AUTH_CLIENT_ID") client_secret = os.environ.get("DIS
  • _ID") client_secret = os.environ.get("DISCORD_AUTH_CLIENT_SECRET") redirect_uri = os.environ.get("
  • CRET") redirect_uri = os.environ.get("DISCORD_AUTH_REDIRECT_URL") scope = os.environ.get("DISCORD_
  • EDIRECT_URL") scope = os.environ.get("DISCORD_AUTH_SCOPE", ["identify", "email"]) if isinstance(sc
  • (",") authorize_url = os.environ.get( "DISCORD_AUTH_AUTHORIZE_URL", "https://discord.com/oauth2
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: binghamton.edu>

✓ 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 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 autonomous-app 
Create a fully functional mini-app using the 'autonomous-app' package that serves as a personal task manager. This app should allow users to create, view, edit, and delete tasks. Each task should have a title, description, due date, priority level, and status (e.g., pending, completed). Additionally, the app should support user authentication, enabling users to log in and manage their own tasks privately. Utilize the 'autonomous-app' package to streamline the development process, taking advantage of its containerization capabilities and pre-installed libraries for rapid deployment and testing. Here’s a step-by-step guide on how to proceed:

1. Set up your development environment using the 'autonomous-app' package. Familiarize yourself with its documentation and explore how it simplifies the integration of various components necessary for web application development.
2. Design the database schema for storing user information and tasks. Ensure that the schema supports relationships between users and their respective tasks.
3. Implement user authentication functionality. Users should be able to register, log in, and log out securely. Use appropriate security practices to protect user data.
4. Develop the CRUD (Create, Read, Update, Delete) operations for tasks. Each operation should respect the logged-in user's permissions, ensuring that users can only modify their own tasks.
5. Enhance the app by adding features such as sorting tasks by priority or due date, searching for specific tasks based on keywords, and marking tasks as completed.
6. Test your application thoroughly within the containerized environment provided by 'autonomous-app'. Pay special attention to edge cases and ensure that all functionalities work as expected under different scenarios.
7. Deploy your task manager application using the containerization capabilities of 'autonomous-app', making sure it's accessible over the internet.
8. Document your project, explaining how you leveraged 'autonomous-app' throughout the development process. Include any challenges faced and solutions implemented.

By following these steps, you'll not only create a useful tool but also gain valuable experience in leveraging modern frameworks and tools for efficient web application development.

💬 Discussion Feed

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