🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential risk due to shell execution without proper validation, and the maintainer's lack of community engagement and single-package history raises concerns about reliability.

Shell execution detected without proper validation
Maintainer has only one package with no community engagement

Per-check LLM notes

Network: No network calls detected, which is normal and does not indicate any risk.
Shell: Shell execution detected without proper validation/input sanitization, potentially risky if inputs are controlled by an adversary.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has only one package and the repository lacks community engagement, indicating potential unreliability.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

tions.output}.gz" mycmd = subprocess.getoutput(COMMAND_SORT) logging.info(mycmd) COMMAND_SORT = f"
tions.output}.gz" mycmd = subprocess.getoutput(COMMAND_SORT) logging.info(mycmd) logging.info(f'j
try: result = subprocess.run(STRINGTIE_COMMAND, shell = True,
{options.output}" mycmd = subprocess.getoutput(STRINGTIE_COMMAND) logging.info(mycmd) if __name__ ==
GTIE_COMMAND, shell = True, stdout = subprocess.PIPE,

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: ucla.edu

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Rong Zhen, Giovanni Quinones Valdez" 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 CryEx.v2

Create a web-based application that serves as a tool for researchers and biologists to analyze genomic data related to exon finding and splicing quantification using the 'CryEx.v2' Python package. This application should allow users to upload their genomic sequences and receive detailed reports on potential cryptic exons and splicing events within the provided sequences. Here’s a step-by-step guide on how to develop this application:

1. **Setup**: Begin by setting up a Flask or Django backend to handle user requests and responses. Ensure you have 'CryEx.v2' installed in your environment.

2. **User Interface**: Design a simple yet effective user interface where users can upload their FASTA files containing genomic sequences. Provide options for users to specify parameters such as minimum exon length, splice site requirements, etc., to fine-tune the analysis according to their needs.

3. **Data Processing**: Implement functionality to process uploaded files using 'CryEx.v2'. Use its core functionalities to identify cryptic exons and quantify splicing events based on the input parameters specified by the user.

4. **Report Generation**: Develop a feature to generate comprehensive reports based on the analysis performed by 'CryEx.v2'. Include visualizations like graphs and charts to illustrate key findings such as splice junctions, exon locations, and splicing efficiencies.

5. **Results Display**: Integrate a section in your application where users can view their results interactively. Allow them to download the report in PDF or CSV format for further analysis.

6. **Error Handling and Feedback**: Ensure robust error handling mechanisms are in place to manage issues like invalid file formats or missing data. Provide clear feedback messages to guide users through any errors encountered during their analysis.

7. **Security Considerations**: Since genomic data can be sensitive, ensure all user data is handled securely. Implement measures to protect user privacy and comply with relevant data protection regulations.

8. **Testing and Deployment**: Thoroughly test your application to ensure it works as expected across different browsers and devices. Once satisfied, deploy your application on a cloud platform like AWS or Heroku.

By following these steps, you will create a valuable tool for researchers looking to delve into the complexities of exon finding and splicing quantification, leveraging the advanced capabilities of 'CryEx.v2'.