ant_connect_py

v2.0.11 suspicious
5.0
Medium Risk

ANT OS python package. Connecting you to ANT Core

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate risks due to its high obfuscation levels and lack of a GitHub repository for the maintainer. Further scrutiny is necessary to confirm legitimacy.

  • High obfuscation risk
  • Lack of a GitHub repository for the maintainer
Per-check LLM notes
  • Network: The package makes network calls which are typical for packages that interact with external services, but further investigation is needed to ensure these interactions are legitimate and secure.
  • Shell: No shell execution patterns were detected, suggesting no immediate risk from command execution.
  • Obfuscation: The use of base64 encoding and decoding suggests some level of obfuscation which may be used to hide the true nature of the code or data being handled.
  • Credentials: No clear patterns for harvesting credentials were detected, but further investigation into how the decoded data is used would be prudent.
  • Metadata: The maintainer has only one package and lacks a GitHub repository, which may indicate a less established or potentially suspicious account.

📦 Package Quality Overall: Low (4.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://api.antcde.io/api/2.0/documentation
  • Detailed PyPI description (1575 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

  • 184 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • connection_response = requests.post(url=connect_url, data=parameters, headers={}, verify=True)
  • dType.GET: return requests.get( url=url, params=request_dat
  • dType.PUT: return requests.put( url=url, headers=ModelBaseC
  • pe.DELETE: return requests.delete( url=url, headers=ModelBaseC
  • Type.POST: return requests.post( url=url, headers=ModelBaseC
  • == "GET": return requests.get(url, params=parameters, headers=headers, verify=True)
⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

  • e: file.write(base64.b64decode(self.data.encode("utf-8"))) except Exception as e:
  • sion"]) content = base64.b64decode(response["file"]) try: file = op
  • sion"]) content = base64.b64decode(response[0]["file"]) try: file =
✓ 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: collaborall.net

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "LEED" 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 ant_connect_py 
Create a fully-functional mini-app called 'ANT Connect Dashboard' using the Python package 'ant_connect_py'. This app will serve as a user-friendly interface to monitor and manage various services running on an ANT Core system. The goal is to provide real-time insights into the status of different components, allowing users to perform actions such as restarting services, checking logs, and viewing detailed information about each component.

Key Features:
1. Service Status Monitoring: Display the current status of all services registered with ANT Core in a tabular format. Each service entry should show its name, status (running/failed), and last updated timestamp.
2. Log Viewer: Implement a feature to view logs for any selected service. Users should be able to filter logs based on date/time and severity level.
3. Actionable Commands: Provide options to start, stop, or restart services directly from the dashboard. Ensure these commands are executed securely and confirmations are provided after execution.
4. Detailed Information Panel: For each service, display detailed information such as version number, deployment time, and last modified timestamp.
5. Real-Time Updates: The dashboard should automatically refresh every minute to reflect any changes in service statuses.
6. User Authentication: Integrate basic user authentication to ensure only authorized personnel can access the dashboard.

Utilizing 'ant_connect_py':
- Use the package to establish a connection with ANT Core and fetch necessary data for monitoring and management tasks.
- Leverage the package's functionalities to interact with ANT Core APIs for executing commands and retrieving information.
- Ensure efficient handling of data and errors to maintain a smooth user experience.

This project aims to demonstrate the power and flexibility of 'ant_connect_py' while providing a practical solution for managing services on an ANT Core system.

💬 Discussion Feed

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