axonflow

v8.4.0 suspicious
8.0
High Risk

AxonFlow Python SDK - Enterprise AI Governance in 3 Lines of Code

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant risks related to credential harvesting and obfuscation, raising concerns about potential malicious activities. While it appears functional for its intended purpose, the combination of these factors suggests a heightened risk that warrants further investigation.

  • High credential risk due to attempts to read private SSH keys and AWS credentials
  • Significant obfuscation risk which could be used to conceal malicious activities
Per-check LLM notes
  • Network: The package makes HTTP requests which may be part of its intended functionality, but could also indicate data exfiltration or C2 communication.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: The code shows signs of obfuscation which may be used to hide malicious activities from simple inspections.
  • Credentials: The code attempts to read private SSH keys and AWS credentials, indicating a high risk for credential harvesting.
  • Metadata: The package shows some red flags such as a missing author name and an insecure external link, but there are no clear signs of typosquatting or malicious intent.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 28 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.getaxonflow.com/docs/sdk/python-getting-started
  • Detailed PyPI description (16793 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
  • 523 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in getaxonflow/axonflow-sdk-python
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • ting). """ response = httpx.post( f"{endpoint}/api/v1/register", json={"label
  • """ try: resp = httpx.get(f"{endpoint}/health", timeout=timeout) if resp.statu
  • return False resp = httpx.post(url, json=payload, timeout=post_budget) if resp.stat
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • nt=test\n") one_day_ago = __import__("time").time() - 24 * 3600 os.utime(isolated_state.stamp_path,
✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 5.0

Found 2 credential access pattern(s)

  • "input": {"command": "cat ~/.ssh/id_rsa"}, } ) assert result.allowed is
  • "input": {"command": "cat ~/.aws/credentials"}, } ) assert result.allowed is
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: getaxonflow.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://mypy-lang.org/
✓ Git Repository History

Repository getaxonflow/axonflow-sdk-python appears legitimate

⚠ 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 axonflow 
Create a simple yet powerful data governance dashboard using the AxonFlow Python SDK. This dashboard will enable users to monitor and manage their enterprise data workflows, ensuring compliance and efficiency. Your task is to build a web-based application that allows users to visualize, track, and govern their data pipelines in real-time.

**Core Features:**
1. **Data Pipeline Visualization**: Display a high-level overview of all active data pipelines within the organization. Each pipeline should be represented as a node with connections showing the flow between different steps.
2. **Compliance Tracking**: Allow users to view and update compliance statuses for each pipeline. This includes tracking which pipelines meet regulatory requirements and which ones need further attention.
3. **Real-Time Alerts**: Implement a system that sends out notifications when any pipeline deviates from its expected performance or fails to comply with regulations.
4. **User Management**: Provide functionality for adding, removing, and managing user access levels within the platform.
5. **Interactive Dashboard**: Ensure the dashboard is interactive, allowing users to drill down into specific pipelines for more detailed information.

**Utilizing AxonFlow Package**:
- Use AxonFlow's SDK to integrate with your existing data governance framework. Specifically, leverage the 'axonflow' package to retrieve and manipulate data about your organization's pipelines, compliance statuses, and other relevant metrics.
- To get started, refer to the official documentation for installation instructions and API references: [AxonFlow Documentation](https://docs.axonflow.com).
- For visualization, consider using libraries such as Plotly or Dash alongside Flask or Django for the backend.

**Deliverables**:
- A fully functional web application hosted on a cloud service like Heroku or AWS.
- A README file detailing setup instructions, including how to install dependencies and run the application locally.
- Comprehensive documentation on how AxonFlow was integrated into the project, highlighting any challenges faced and solutions implemented.

💬 Discussion Feed

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