Identify if oauth token is in version control using AI

Below is a free classifier to identify if oauth token is in version control. Just input your text, and our AI will predict if the oauth token is exposed - in just seconds.

if oauth token is in version control identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-oauth-token-is-in-version-control", "your_text_here", credentials)
            

fetch('https://www.nyckel.com/v1/functions/if-oauth-token-is-in-version-control/invoke', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
        'Content-Type': 'application/json',
    },
    body: JSON.stringify(
        {"data": "your_text_here"}
    )
})
.then(response => response.json())
.then(data => console.log(data));
            

curl -X POST \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
    -d '{"data": "your_text_here"}' \
    https://www.nyckel.com/v1/functions/if-oauth-token-is-in-version-control/invoke
            

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if the oauth token is exposed.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Token Exposed and Token Secure.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the oauth token is exposed).

Whether you're just curious or building if oauth token is in version control detection into your application, we hope our classifier proves helpful.

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Need to identify if oauth token is in version control at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Security Audit for Repositories: Organizations can implement this function to regularly scan their version-controlled repositories for OAuth tokens. This preventive measure helps in identifying and mitigating risks of unauthorized access stemming from accidental exposure of sensitive tokens.

  • Automated Code Reviews: Integrating the identifier into automated code review tools can enhance security checks during pull requests. By flagging any OAuth tokens present in the code, teams can ensure that sensitive credentials are not inadvertently merged into main branches.

  • Compliance Monitoring: Companies that need to adhere to data protection regulations can use this function to ensure no sensitive data, including OAuth tokens, are stored in their version control systems. This proactive approach assists in maintaining compliance with standards like GDPR and HIPAA.

  • Incident Response Preparation: In the event of a security breach, organizations can utilize this function as part of their incident response toolkit. By quickly identifying where OAuth tokens were exposed in version control, they can take swift action to revoke access and mitigate potential risks.

  • Developer Training and Awareness: This identifier can be utilized in developer training sessions to highlight the importance of managing sensitive credentials properly. By demonstrating real-world examples of token exposure in version control, teams will develop a better understanding of secure coding practices.

  • Integration with CI/CD Pipelines: By incorporating this function in Continuous Integration/Continuous Deployment (CI/CD) workflows, development teams can automate checks that prevent deployments with exposed OAuth tokens. This helps to ensure that sensitive information is safeguarded through the entire software development lifecycle.

  • Token Lifecycle Management: Organizations can leverage this identifier to enforce policies around token creation and expiry by ensuring that no tokens persist in version control for longer than necessary. This functionality encourages the practice of regularly rotating credentials to minimize risks from potential token leaks.

Want this classifier for your business?

In just minutes you can automate a manual process or validate your proof-of-concept.

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