AI Analysis
Final verdict: SUSPICIOUS
The package shows no immediate signs of malicious activity such as network calls, shell execution, obfuscation, or credential harvesting. However, the incomplete author information and the apparent inactivity of the maintainer raise concerns about its provenance and ongoing support.
- Incomplete author information
- Inactive maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communication.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is generally safe.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The author's information is incomplete and the maintainer seems new or inactive, raising some suspicion.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
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
Email domain looks legitimate: outlook.com>
Suspicious Page Links
score 4.0
Found 2 suspicious link(s) on the package page
Non-HTTPS external link: http://www.iqtree.org/Non-HTTPS external link: http://www.iqtree.org/#download
Git Repository History
Repository wpwupingwp/OGU appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author 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 OGU
Build a simple Python application using the OGU package to demonstrate its core features.
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