AI Analysis
Final verdict: SUSPICIOUS
The package exhibits some obfuscation techniques which may be used to hide malicious intent, though no direct evidence of malice or credential theft was found.
- Observed varint encoding pattern suggesting potential code obfuscation
- No credentials harvesting detected
Per-check LLM notes
- Obfuscation: The observed pattern resembles varint encoding which could be used for efficient data serialization but may also indicate an attempt to obscure code logic.
- Credentials: No evidence of credential harvesting is present.
Package Quality Overall: Medium (6.0/10)
✦ High
Test Suite
9.0
Test suite present — 33 test file(s) found
Test runner config found: conftest.pyTest runner config found: conftest.pyTest runner config found: pyproject.toml33 test file(s) detected (e.g. conftest.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (10513 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 :: TypedType checker (mypy / pyright / pytype) referenced in project415 type-annotated function signatures detected in source
◈ Medium
Multiple Contributors
5.0
Limited contributor diversity
1 unique contributor(s) across 44 commits in DevArKaDiA/aiokplSingle author but highly active (44 commits)
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
try: with urllib.request.urlopen( f"http://localhost:{health_port
Code Obfuscation
score 2.0
Found 1 obfuscation pattern(s)
"), ((1 << 63) - 1, b"\xff\xff\xff\xff\xff\xff\xff\xff\x7f"), ], ) def test_varint_encode_known(value: int, expect
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: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository DevArKaDiA/aiokpl appears legitimate
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" 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 aiokpl
Build a simple Python application using the aiokpl package to demonstrate its core features.
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