attestd

v0.2.1 suspicious
4.0
Medium Risk

Python SDK for the Attestd security risk API

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate risk due to potential author inactivity and lack of repository visibility, despite showing no direct malicious activities.

  • Metadata risk score of 5 out of 10
  • No significant security risks identified in other categories
Per-check LLM notes
  • Network: The presence of network calls is expected if the package relies on HTTP requests to external services.
  • Shell: No shell execution patterns were detected, indicating no immediate risk from this aspect.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting no attempt to steal secrets.
  • Metadata: The package shows signs of potential author inactivity and lack of repository visibility, raising some suspicion.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

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

Some documentation present

  • Documentation URL: "Docs" -> https://attestd.io/docs
  • Detailed PyPI description (9063 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
  • 24 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 3.0

Found 2 network call pattern(s)

  • _retries self._http = httpx.Client( base_url=base_url, headers=make_hea
  • _retries self._http = httpx.AsyncClient( base_url=base_url, headers=make_hea
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

No author email provided

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 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 attestd
Create a web-based security risk assessment tool using Python and the Attestd SDK. This tool will allow users to input domain names or IP addresses and receive a detailed report on potential security risks associated with these inputs. The application should have a user-friendly interface where users can enter their queries and view results in real-time. Additionally, the tool should store historical data so that users can review past assessments.

Key Features:
- User Input: Users can enter domain names or IP addresses.
- Real-Time Assessment: The application should provide immediate feedback based on the Attestd API calls.
- Detailed Reports: Display comprehensive reports including risk scores, detected vulnerabilities, and mitigation strategies.
- Historical Data Storage: Store previous assessments for each user account.
- User Accounts: Allow users to create accounts to save and manage their assessments.
- Secure Authentication: Implement secure login mechanisms to protect user data.

How to Utilize 'attestd':
- Use the 'attestd' package to make API requests for security risk assessments of the provided domain names or IP addresses.
- Integrate the package's functionality into your backend to process and analyze the returned data.
- Ensure all data handling respects privacy and security best practices.

💬 Discussion Feed

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