> For the complete documentation index, see [llms.txt](https://letodev.gitbook.io/getting-started/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://letodev.gitbook.io/getting-started/documentation/large-field-analyzer.md).

# Large Field Analyzer

The Large Field Analyzer is an automated malware detection tool for IPFS content. Access the analyzer at [Leto.gg ](https://leto.gg)by upgrading to a Business account!

Contact us at <admin@galaxyx.io> for questions or custom implementations.

<figure><img src="/files/XH1Z0Zy6U2pAfUETO5tI" alt=""><figcaption></figcaption></figure>

## Getting Started

Create an account and login at [Leto.gg](https://leto.gg).

* Navigate to "Account Details" and upgrade from a free account to a Business plan.
* Input one CID and “Submit IPFS CID”. The CID will then be processed by the analyzer and given a risk score out of 10.
* Alternatively select "File" and upload a csv file with a list of IPFS CIDs or normal hyperlinks.
* Scores are returned in 30-45 minutes depending on the number of files submitted.
* Contact us at <admin@galaxyx.io> to access an API endpoint to ingest large lists of IPFS CIDs.&#x20;

Each CID is given a score from 0-10. View the scores for each file in the user portal. Users uploading lists by a csv file will receive a report by email.&#x20;

* A score of 5 or higher indicates a potentially malicious file (more to come on scoring).

Check out the [Large Field Analyzer](<https://github.com/noryev/LargeFieldDataAnalyzer >) on Github! Contact us to learn more at <admin@galaxyx.io> or @LetoDev (on X/twitter).

DISCLAIMER: This software is still a work in progress! The accuracy and information given from our analyzer will improve as our analyzer software codebase grows. <br>