Identify if api key is in code comments using AI

Below is a free classifier to identify if api key is in code comments. Just input your text, and our AI will predict if the API key is present in the code comments - in just seconds.

if api key is in code comments identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-api-key-is-in-code-comments", "your_text_here", credentials)
            

fetch('https://www.nyckel.com/v1/functions/if-api-key-is-in-code-comments/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-api-key-is-in-code-comments/invoke
            

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if the API key is present in the code comments.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Api Key In Comments and No Api Key In Comments.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the API key is present in the code comments).

Whether you're just curious or building if api key is in code comments detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify if api key is in code comments at scale?

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



  • Code Security Audit: Organizations can use this function to automatically scan code repositories for embedded API keys in comments during security audits. This helps in identifying potential security vulnerabilities and ensuring that sensitive information is not accidentally exposed in the code.

  • Compliance Monitoring: Regulatory requirements often mandate the protection of sensitive data. This text classification function can be employed to monitor codebases for compliance with data protection laws by flagging instances where API keys may be carelessly documented in code comments.

  • DevOps Best Practices Enforcement: By integrating this tool into the CI/CD pipeline, teams can enforce best practices for coding by preventing API keys from being left in comments. Ensuring that no sensitive information is stored in an insecure manner helps mitigate the risk of data breaches.

  • Code Review Automation: During the code review process, this function can serve as a safeguard by automatically highlighting lines where API keys are mentioned in comments. This allows reviewers to address potential issues before the code is merged, enhancing overall code quality and security.

  • Training and Awareness Programs: Development teams can utilize this feature as part of training sessions focused on secure coding practices. By demonstrating common pitfalls, such as leaving API keys in comments, organizations can raise awareness and improve overall security hygiene.

  • Incident Response Preparation: In the event of a security incident, this text classification function can be leveraged to quickly assess whether API keys might have been compromised through code comments. This capability allows incident response teams to take immediate corrective action, minimizing potential damage.

  • Integration with Security Tools: This identifier can be integrated into broader security tools or platforms that provide static code analysis. By identifying and reporting instances of API keys in comments, organizations can enhance their overall security posture and workflows.

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

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