aztea

v1.9.6 suspicious
5.0
Medium Risk

Python SDK for the Aztea AI agent marketplace

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a moderate level of risk due to high shell risk and potential obfuscation techniques, despite legitimate uses of base64 encoding and secure credential handling.

  • High shell risk due to subprocess execution
  • Potential obfuscation practices
Per-check LLM notes
  • Network: The network calls seem to be for probing endpoints and making API requests, which could be part of legitimate functionality but should be reviewed against the package's stated purpose.
  • Shell: Executing commands via subprocess.run can pose significant risks if not properly controlled, suggesting potential for unauthorized actions or code execution.
  • Obfuscation: The observed patterns suggest base64 decoding for cryptographic purposes, which is common practice but could indicate obfuscation if the context is unclear.
  • Credentials: The use of 'getpass' module indicates secure input handling for credentials, but its presence alongside potential obfuscation could raise suspicion about hidden credential harvesting.
  • Metadata: The package has minimal activity and the maintainer has few contributions, suggesting potential unreliability but no clear signs of malice.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_agent_server.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/AnayGarodia/aztea/blob/main/docs/quicksta
  • Detailed PyPI description (2524 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

  • 544 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 5 unique contributor(s) across 100 commits in AnayGarodia/aztea
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • s are blocking. request = urllib.request.Request(endpoint_url, method="HEAD") try: with u
  • "HEAD") try: with urllib.request.urlopen(request, timeout=_ENDPOINT_PROBE_TIMEOUT_S) as resp:
  • -sdk" self._session = requests.Session() self.auth = AuthNamespace(self) self.wall
  • ).""" try: resp = requests.post( _API_ENDPOINT, headers={
  • try: resp = requests.get(src, timeout=_SOURCE_FETCH_TIMEOUT_SECONDS) except r
⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

  • public_key_bytes = base64.b64decode(public_key_b64 + pad) sig_pad = "=" * (-len(signatur
  • signature_bytes = base64.b64decode(signature_b64 + sig_pad) pk = Ed25519PublicKey.from_
  • re-name calls like exec(...), eval(...). if isinstance(func, ast.Name) and func.id
⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • th(tmp.name) try: subprocess.run([editor, str(tmp_path)], check=False) return tmp_pat
  • e_terminal() try: subprocess.run(cmd, cwd=os.getcwd(), check=False) except FileNotFoundEr
⚠ Credential Harvesting score 5.0

Found 2 credential access pattern(s)

  • import getpass return getpass.getpass(f"{label}: ") if not _is_tty(): import getpass
  • import getpass return getpass.getpass(f"{label}: ") # Brand-matched styled prompt: teal arrow
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Anay Garodia" 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 aztea 
Create a Python-based desktop application that allows users to discover, install, and manage AI agents from the Aztea AI agent marketplace using the 'aztea' Python package. This application will serve as a user-friendly interface for interacting with various AI agents, making it easier for users to integrate AI into their workflows without needing deep technical knowledge.

Step-by-Step Guide:
1. **Setup**: Install necessary Python packages including 'aztea', and any GUI toolkit you prefer such as Tkinter, PyQt, or Kivy. Ensure the environment is set up correctly with all dependencies installed.
2. **Authentication**: Implement a login feature where users can authenticate themselves with their Aztea account credentials. Use the 'aztea' package to handle API requests securely.
3. **Agent Discovery**: Design a section of your app that lists available AI agents from the Aztea marketplace. Utilize the 'aztea' package's API to fetch details about these agents, such as name, description, capabilities, and pricing.
4. **Agent Installation**: Provide functionality for users to select and install agents directly through your app. Use the 'aztea' package to manage the installation process, ensuring seamless integration.
5. **Agent Management**: Allow users to view, update, and remove installed agents within the app. Users should be able to configure settings specific to each agent, if applicable.
6. **User Interface**: Develop an intuitive UI that simplifies the interaction with the Aztea marketplace. Consider adding features like search, sorting, and filtering to enhance usability.
7. **Documentation & Help**: Include comprehensive documentation and a help section within the app to guide users through the process of discovering, installing, and managing AI agents.

Suggested Features:
- Integration with popular IDEs or development environments.
- Real-time status updates on agent installations and operations.
- A rating/review system for users to provide feedback on agents.
- Support for different types of authentication methods.
- Customizable alerts for important events related to agents.

Utilization of 'aztea':
- Use 'aztea' to handle all communication with the Aztea API, including fetching agent data, initiating installations, and managing agent configurations. Leverage the SDK's built-in functionalities to streamline these processes and ensure compatibility with future updates from Aztea.

💬 Discussion Feed

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