anaconda-auth

v0.15.0 suspicious
5.0
Medium Risk

A client auth library for Anaconda APIs

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to its potential handling of user credentials, which could lead to security vulnerabilities if not properly managed.

  • Repeated use of keyring.get_password indicating handling of user credentials
  • No clear signs of malicious activity but credential management practices are critical
Per-check LLM notes
  • Obfuscation: Base64 decoding of data is a common practice and does not necessarily indicate malicious intent.
  • Credentials: The repeated use of keyring.get_password suggests the package may be handling user credentials, which could pose a risk if not managed securely.
  • Metadata: The package shows some low-effort signs but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 22 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 22 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "documentation" -> https://anaconda.github.io/anaconda-auth
  • Detailed PyPI description (16512 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

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

Active multi-contributor project

  • 10 unique contributor(s) across 100 commits in anaconda/anaconda-auth
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • e method, but :shrug: requests.get(f"http://{server.host_name}:{server.server_port}/cancel") f
  • by the server response = requests.get( f"http://localhost:{SERVER_PORT}/auth/oidc?code=som
  • parameters.""" response = requests.get( f"http://localhost:{SERVER_PORT}/auth/oidc?state=so
  • OIDC path.""" response = requests.get( f"http://localhost:{SERVER_PORT}/auth/oidc2?code=so
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • dict: decoded_bytes = base64.b64decode(keyring_data) decoded_dict = json.loads(decoded_byte
⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

  • ", "conda") + args proc = subprocess.run(args, capture_output=True, text=True) return proc.stdout
  • package, "--json"] proc = subprocess.run(args, capture_output=True, text=True) if proc.returncode
  • "-y", ] proc = subprocess.run(args, capture_output=True, text=True) if proc.returncode
  • t_token())", ] proc = subprocess.run(args, capture_output=True, text=True) if proc.returncode
  • -log", "register"] proc = subprocess.run(args) if proc.returncode != 0: logger.debug("Fai
⚠ Credential Harvesting score 10.0

Found 6 credential access pattern(s)

  • omain keyring_data = keyring.get_password(KEYRING_NAME, domain) if keyring_data is not None:
  • existing_keyring_data = keyring.get_password(KEYRING_NAME, legacy_domain) if existing_keyring
  • y_token.save() payload = keyring.get_password(anaconda_auth.token.KEYRING_NAME, legacy_domain) assert
  • legacy_version payload = keyring.get_password(anaconda_auth.token.KEYRING_NAME, "modern") assert paylo
  • n.version == 2 payload = keyring.get_password(anaconda_auth.token.KEYRING_NAME, "legacy-0") assert pay
  • ayload is None payload = keyring.get_password(anaconda_auth.token.KEYRING_NAME, "legacy-1") assert pay
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository anaconda/anaconda-auth appears legitimate

⚠ 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 anaconda-auth 
Create a Python-based command-line tool named 'AnacondaRepoManager' that leverages the 'anaconda-auth' package to interact with Anaconda's API for managing packages and channels. This tool should provide functionalities such as listing available channels, uploading new packages to a specified channel, and downloading packages from a given channel. Additionally, implement user authentication using 'anaconda-auth' to ensure secure interaction with the API.

Step-by-Step Instructions:
1. Set up a virtual environment and install the necessary packages including 'anaconda-auth'.
2. Implement user authentication using 'anaconda-auth' to obtain an access token.
3. Create a function to list all available channels on Anaconda.
4. Develop a feature to upload a local package file to a specified Anaconda channel.
5. Add functionality to download a specific package from a given channel.
6. Ensure error handling and informative messages for common issues like invalid credentials or missing files.
7. Provide a simple CLI interface for users to interact with these functionalities easily.

Suggested Features:
- Support for multiple authentication methods (e.g., token, username/password).
- Detailed logging of operations performed through the tool.
- Ability to specify custom configurations for API endpoints.
- Enhanced security measures like token expiration checks.
- Integration tests to validate the functionality of each operation.

How 'anaconda-auth' is Utilized:
- For authenticating users and obtaining tokens to interact securely with the Anaconda API.
- To handle the authorization process, ensuring that the operations performed are within the scope of the user's permissions.

💬 Discussion Feed

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