atlassian-jwt-auth

v22.0.1 safe
3.0
Low Risk

Python implementation of the Atlassian Service to Service Authentication specification.

🤖 AI Analysis

Final verdict: SAFE

The package appears safe with low risks across all categories except metadata and obfuscation, which show minor concerns. There is no strong evidence of malicious intent or supply-chain attack.

  • Low network and shell execution risks
  • No credential harvesting detected
  • Potential for benign encoding in obfuscation
Per-check LLM notes
  • Network: The observed network call patterns are likely related to secure authentication mechanisms and do not inherently suggest malicious activity.
  • Shell: No shell execution patterns were detected, indicating low risk of direct command execution.
  • Obfuscation: The observed pattern suggests encoding rather than malicious obfuscation, possibly for handling cryptographic keys.
  • Credentials: No evidence of credential harvesting detected.
  • Metadata: The author has only one package, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 19 test file(s) found

  • Test runner config found: setup.cfg
  • 19 test file(s) detected (e.g. test_auth.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4849 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

  • 96 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 100 commits in atlassian/asap-authentication-python
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • n = cachecontrol.CacheControl(requests.Session()) session.trust_env = False HTTPSPu
  • KeyRetriever._class_session = aiohttp.ClientSession( loop=self.loop ) return
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • id=") :])) key_data = base64.b64decode(splitted[-1].split(",")[-1]) key = serialization.loa
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: atlassian.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository atlassian/asap-authentication-python appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Atlassian" 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 atlassian-jwt-auth 
Your task is to develop a small but comprehensive Python application that leverages the 'atlassian-jwt-auth' package to authenticate and interact with Atlassian's Confluence API. This mini-application will allow users to perform basic CRUD (Create, Read, Update, Delete) operations on pages within a specified Confluence space. Here’s a detailed breakdown of the project requirements and steps to follow:

1. **Setup**: Begin by setting up your development environment. Ensure you have Python installed along with virtualenv or venv for managing dependencies. Create a new virtual environment, activate it, and install the necessary packages including 'requests' and 'atlassian-jwt-auth'.

2. **Authentication Setup**: Use the 'atlassian-jwt-auth' package to set up JWT-based authentication with your Atlassian instance. You will need to configure your application with a private key and obtain an audience and issuer from your Atlassian setup. Implement functions to generate JWT tokens for authenticating API requests.

3. **API Interaction**: Develop functions to interact with the Confluence API using the authenticated JWT tokens. These functions should include methods for creating a new page, reading content from existing pages, updating page content, and deleting pages. Make sure to handle API responses appropriately, including error handling for cases where the operation fails.

4. **User Interface**: While the primary focus is on backend functionality, consider adding a simple command-line interface (CLI) for interacting with the application. Users should be able to input commands like 'create', 'read', 'update', and 'delete', followed by necessary parameters such as page title, content, and page ID.

5. **Testing**: Write tests to verify the correctness of your application. Use tools like pytest to ensure that each function behaves as expected under various scenarios, including edge cases like invalid inputs or failed API calls.

6. **Documentation**: Provide clear documentation on how to set up and use your application. Include instructions on installing dependencies, configuring authentication, and using the CLI.

Suggested Features:
- Support for multiple Confluence spaces by allowing users to specify the space key when performing operations.
- Enhanced error messages that provide more context about failures, especially useful for diagnosing issues related to authentication or API limitations.
- Logging mechanisms to record interactions and errors, which could be useful for troubleshooting and auditing purposes.
- A feature to automatically refresh JWT tokens if they expire during the session.

By completing this project, you will gain hands-on experience with JWT-based authentication, API interaction, and building command-line applications in Python.

💬 Discussion Feed

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