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    user-data-for-fraud-prevention logo

    CircleCI Coverage Status NPM Version semantic-release Contributions welcome code style: prettier

    All Contributors


    This is an npm library to detect some browser or device details of the user such as Timezone, screen sizes, browser configuration etc. Such details are often required to be sent by software providers to the tax authority in their country to prevent fraud.

    Eg: The Tax Authority in the UK (HMRC) requires software providers using some of their APIs to provide consistent headers known as Fraud Prevention headers. This node module collects such information for you in the format required.

    Each top level folder in src/js has its own README with more specific information around the use case. E.g. HMRC README

    How to use

    Usage instructions can be found here

    How to test

    Instructions for testing the changes can be found here


    We do not allow contributors to claim issues. If you find something interesting you can contribute to the repo, feel free to raise a PR. We do not require you to let us know in advance.

    1. Fork the repo
    2. Install dependencies locally by running yarn or npm install
    3. Make your changes
    4. Make sure it builds using yarn build or npm run build
    5. Run the tests (you added tests, right?) with npm test or yarn test
    6. Test your changes in your consuming code or using our demo project: Run yarn link or npm link
    7. Ensure the code coverage is the same or higher than before your changes
    8. Ensure commit message is properly formatted: type(subject): input. Eg: chore(prettier): update prettier to 2.x
    9. Create a PR to the master branch
    10. Codeowners will automatically be requested to review, so no need to tag on your PR

    Expected Project Structure

    The structure shown here is how your code should be organised in the repository

    implementation folder should be renamed according to the problem you are solving for eg. the code for HMRC in UK is in the folder named hmrc.

            └──common                // Common and non specific code shoud be put in this folder
            └──implementation       // Implementation specific code for solving problem should be in this folder

    How contributors get added to the README

    There are two ways to add yourself as a contributor to this repo:

    1. Call @all-contributors bot by adding this following comment in a PR: @all-contributors please add [username] for [contributions]. Please refer to the docs for more info.
    2. Use the all-contributors-cli by running npx all-contributors add [username] [contributions]. Please refer to the docs for more info.

    All parameters are required. See the Emoji Key (Contribution Types Reference) for a list of valid contribution types.




    Please see our CHANGELOG

    Other Languages

    README in other languages:

    1. Simplified Chinese
    2. Traditional Chinese
    3. Spanish
    4. German
    5. Hindi


    Rachel Quan

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    📖 👀 ⚠️ 💬 💻

    Susmitha Kodamarthi

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    Mayank Khanna


    Jitin Maherchandani


    D. Ben Knoble


    Yashasvi Misra



    📖 🚧

    Tyler Krupicka

    💻 🔌


    ⚠️ 💻

    Christy Jacob

    📖 💻

    Josh Harrison

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    Johan Aludden


    Andrew Lisowski


    Abderrahim SOUBAI-ELIDRISI


    Derek Louis


    Sheetal Singala


    Salil Cuncoliencar




    Swastika Gupta




    Jochen Rui



    npm i user-data-for-fraud-prevention

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