AI Analysis
Final verdict: SUSPICIOUS
The package has a moderate risk score due to its incomplete metadata, raising concerns about its origin and maintenance history.
- Metadata risk 6/10 due to incomplete author profile and lack of maintainer history
- No other significant risks detected
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell executions detected, indicating no direct command-line interface manipulation.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting no immediate threat to stored secrets.
- Metadata: The package appears suspicious due to the lack of maintainer history and an incomplete author profile.
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: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
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 EmreTasdemirClustalOmega
Create a web-based application using Flask and the 'EmreTasdemirClustalOmega' package that allows users to upload multiple DNA or protein sequences and perform multiple sequence alignments. The application should provide a user-friendly interface where users can input their sequences directly or upload FASTA files. After uploading, users should be able to initiate an alignment process which will use the 'EmreTasdemirClustalOmega' package to align the sequences. The results of the alignment should be displayed on the same page, showing the aligned sequences in a readable format. Additionally, include features such as the ability to save the alignment results as a new FASTA file, view detailed statistics about the alignment, and compare different alignment methods offered by the package. Ensure the application handles errors gracefully and provides informative feedback to the user throughout the process.