atlassian-modules

v1.2.1 safe
4.0
Medium Risk

Modules for interacting with Atlassian cloud products.

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across network, shell, obfuscation, and credential aspects. While there are some concerns about metadata and maintenance, these do not strongly indicate malicious activity.

  • Low risk scores in network, shell, obfuscation, and credential checks.
  • Metadata risk suggests potential maintenance issues but does not indicate malicious behavior.
Per-check LLM notes
  • Network: The observed network calls align with typical interactions for managing Atlassian Jira issues, indicating legitimate API usage.
  • Shell: No shell execution patterns detected, suggesting no immediate risk related to command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some signs of low maintenance and potential lack of transparency, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (47841 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • try: response = requests.put( f"{server_url}/rest/api/3/issue/{ticket_key}",
  • try: response = requests.put( f"{server_url}/rest/api/3/issue/{ticket_key}/as
  • e": f} response = requests.post(url, headers=headers, auth=auth, files=files) except Fil
  • try: response = requests.post( f"{server_url}/rest/api/3/issue/{ticket_key}/co
  • ) try: response = requests.post( f"{server_url}/rest/api/3/issue", j
Code Obfuscation

No obfuscation patterns detected

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: gmail.com

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 "Pavan Bhatt" 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 atlassian-modules
Create a mini-application named 'AtlassianTaskTracker' that integrates with Jira and Confluence using the 'atlassian-modules' Python package. This application will serve as a task management tool for teams, allowing them to track tasks directly from their Jira board and document related information on Confluence pages.

### Features:
1. **User Authentication:** Implement a secure way to authenticate users through OAuth2 or API keys to access Jira and Confluence services.
2. **Task Creation & Management:** Allow users to create, update, delete, and assign tasks within Jira. The app should also support searching for tasks based on various criteria such as status, assignee, and due date.
3. **Document Integration:** For each task created in Jira, automatically generate a corresponding Confluence page where team members can add notes, files, and other relevant documentation.
4. **Notifications:** Set up real-time notifications for task updates and changes, which can be delivered via email or Slack.
5. **Custom Reports:** Provide customizable reports that summarize task statuses, progress, and key metrics for project managers.
6. **Integration with Other Tools:** Enable integration with other tools like Slack for seamless communication and task updates.

### Utilizing 'atlassian-modules':
- Use 'atlassian-jira' module to interact with Jira's REST APIs for creating, updating, deleting, and managing tasks.
- Leverage 'atlassian-confluence' module to manage content in Confluence, including creating new pages, adding attachments, and editing existing pages.
- Implement authentication mechanisms provided by 'atlassian-connect-express' for secure API access.
- Explore 'atlassian-api' for handling common tasks across Atlassian products, such as error handling and rate limiting.

### Steps to Build the Application:
1. **Set Up Development Environment:** Install necessary Python packages including 'atlassian-modules'. Configure your environment to handle OAuth2 authentication.
2. **Design User Interface:** Develop a simple yet effective UI using Flask or Django for web-based interaction or use a CLI interface if preferred.
3. **Implement Core Functionality:** Focus on implementing the core features listed above, ensuring that interactions with Jira and Confluence are smooth and efficient.
4. **Testing:** Rigorously test the application to ensure it works as expected, especially focusing on edge cases and error handling.
5. **Deployment:** Deploy the application to a cloud service provider like AWS or Heroku for easy access.
6. **Documentation:** Write comprehensive documentation explaining how to install, configure, and use the application, including any setup steps required for OAuth2 authentication.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!