AI Analysis
Final verdict: SAFE
The package shows minimal signs of potential risks with no indications of malicious activities such as shell execution or credential harvesting. The network interactions appear benign and expected for its functionality.
- Low network risk
- No shell execution
- No obfuscation
- No credential risk
- Single package from maintainer
Per-check LLM notes
- Network: The network calls indicate the package is designed to make HTTP requests, which is common for many applications that interact with APIs or services.
- Shell: No shell execution patterns were detected, indicating no direct system command execution risk.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
- Metadata: The maintainer has only one package, indicating it may be a new or less active account.
Package Quality Overall: Medium (5.4/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
7.0
Some documentation present
Documentation URL: "Documentation" -> https://docs.backend.ai/Detailed PyPI description (2934 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
174 type-annotated function signatures detected in source
✦ High
Multiple Contributors
10.0
Active multi-contributor project
9 unique contributor(s) across 100 commits in lablup/backend.aiActive community — 5 or more distinct contributors
Heuristic Checks
Outbound Network Calls
score 3.0
Found 2 network call pattern(s)
tempt: async with aiohttp.ClientSession(base_url=base_url) as sess: async with sess.]) async with aiohttp.ClientSession(base_url=self.api_endpoint) as sess: async with
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
Repository lablup/backend.ai appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Lablup Inc. and contributors" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
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