AI Analysis
Final verdict: SUSPICIOUS
The package MelihMSA v0.1.0 is suspicious due to its lack of description and associated GitHub repository, despite showing low risks in direct threats such as network calls or obfuscation.
- Brand new package with no description
- No associated GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious shell command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret theft.
- Metadata: The package shows several red flags including being brand new, having low metadata quality, and no associated GitHub repository.
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: email.com
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 8.0
4 maintainer concern(s) found
Only one version has ever been released — brand new packagePackage uploaded less than 24 hours ago (2026-06-04T19:48:39.000Z)Author "Melih" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with MelihMSA
Create a bioinformatics tool using Python that helps researchers align multiple DNA sequences efficiently. Your application, named 'SeqAligner', will utilize the MelihMSA package, which is based on the MAFFT algorithm for sequence alignment. This tool will allow users to upload multiple FASTA formatted files containing DNA sequences and perform pairwise or multiple sequence alignments. Step-by-Step Instructions: 1. Begin by setting up your Python environment and installing necessary packages including MelihMSA. 2. Design a user-friendly interface where users can upload their FASTA files. 3. Implement functionality within your application to process these files and extract DNA sequences. 4. Utilize MelihMSA to perform sequence alignment on these extracted sequences. 5. Display the aligned sequences back to the user in a readable format. 6. Add features such as saving the aligned sequences into new FASTA files for further analysis. 7. Consider adding options for different alignment methods provided by MelihMSA for customization. 8. Ensure the application can handle large datasets efficiently without crashing. Suggested Features: - User authentication for saving alignment results and sharing them with colleagues. - Option to choose between different alignment algorithms supported by MelihMSA. - Visualization of the alignment process and results through graphical representations. - Integration with popular bioinformatics databases for direct sequence retrieval. - Detailed documentation and tutorials for new users. How MelihMSA is Utilized: - Import MelihMSA at the beginning of your script and use its functions to read sequences from FASTA files. - Call the appropriate MelihMSA function to perform the alignment based on user preferences. - Use MelihMSA's output handling capabilities to manage and display the results effectively.