autodeploy-cli

v0.5.0a1 suspicious
4.0
Medium Risk

The official CLI for AutoDeploy: The Next-Gen Developer-First PaaS

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has some notable risks, particularly concerning network and metadata aspects, which suggest potential issues but do not conclusively indicate malicious intent.

  • moderate network risk
  • missing maintainer information
  • non-HTTPS link
Per-check LLM notes
  • Network: Network calls appear to be interacting with an API endpoint which is likely for application management and deployment purposes.
  • Shell: Shell executions include commands that are typically used for git operations and privilege escalation checks, which may be necessary for deployment but could pose risks if misused.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating secure handling of sensitive information.
  • Metadata: Suspicious non-HTTPS link and missing maintainer information suggest potential risk.

📦 Package Quality Overall: Low (2.8/10)

○ 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 (1269 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

  • 16 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)

  • try: response = requests.get(f"{api_base}/apps", headers=headers) if response.ok:
  • ..") create_res = requests.post( f"{api_base}/apps", headers
  • ) patch_res = requests.patch( f"{api_base}/apps/{final_app_id}",
  • ..."): response = requests.post( f"{api_base}/apps/{final_app_id}/deploy?tri
  • try: res = requests.get(f"{api_base}/apps", headers=headers) if res.ok:
  • try: res = requests.delete(f"{api_base}/apps/purge", headers=headers) if re
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

  • ssword if not cached) subprocess.check_call(["sudo", "-v"]) except subprocess.CalledProcessError:
  • """ try: result = subprocess.run( ["git", "rev-parse", "--show-toplevel"],
  • """ try: result = subprocess.run( ["git", "remote", "get-url", "origin"],
  • """ try: result = subprocess.run( ["git", "rev-parse", "--abbrev-ref", "HEAD"],
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://your-internal-ip:8000
⚠ 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 autodeploy-cli 
Your task is to develop a fully functional mini-application called 'DevFlow' that leverages the capabilities of the 'autodeploy-cli' package to streamline the deployment process for developers. DevFlow will serve as a tool for managing development environments and automating the deployment of applications to a cloud platform. Here are the steps and features you should include in your project:

1. **Setup**: Begin by installing the necessary packages including 'autodeploy-cli'. Ensure that users can easily install these dependencies via pip.
2. **Configuration**: Allow users to configure their development environment settings such as specifying the type of cloud provider they are using (e.g., AWS, GCP), the region, and other relevant details.
3. **Environment Management**: Implement commands within DevFlow that allow users to create, update, and delete development environments based on their configuration settings.
4. **Application Deployment**: Utilize 'autodeploy-cli' to automate the deployment of applications. This includes uploading code, setting up necessary services, and ensuring everything is configured correctly for the chosen cloud provider.
5. **Monitoring and Logs**: Provide functionality to monitor the status of deployed applications and view logs directly from the DevFlow interface.
6. **Documentation and Help**: Include comprehensive documentation and help commands within DevFlow to assist users in understanding how to use the tool effectively.

By integrating 'autodeploy-cli', you aim to reduce the complexity and time required for deploying applications, making it easier for developers to focus on writing code rather than dealing with infrastructure setup.

💬 Discussion Feed

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