Identify if oauth token is in code comments
using AI
Below is a free classifier to identify if oauth token is in code comments. Just input your text, and our AI will predict if the code contains an OAuth token in the comments - in just seconds.
Contact us for API access
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-oauth-token-is-in-code-comments", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-oauth-token-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-oauth-token-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 code contains an OAuth token in the comments.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Token Absent and Token Present.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the code contains an OAuth token in the comments).
Whether you're just curious or building if oauth token is in code comments detection into your application, we hope our classifier proves helpful.
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Need to identify if oauth token is in code comments at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Security Auditing: Organizations can use the True text classification function to automatically scan codebases for the presence of OAuth tokens in comments. This helps security teams identify potential vulnerabilities and vulnerabilities in their code that could be exploited if tokens are publicly exposed.
- Code Review Assistance: Development teams can integrate this function into their code review processes to flag instances where OAuth tokens are commented out in the code. This promotes good coding practices and ensures sensitive information is not left in an easily accessible format during review phases.
- Compliance Monitoring: Compliance teams can utilize this function to support regulatory requirements for data protection by ensuring that OAuth tokens are not inadvertently documented in code comments. This helps in maintaining compliance with regulations like GDPR or HIPAA, where data leaks can have significant repercussions.
- Automated CI/CD Integration: The function can be integrated into Continuous Integration/Continuous Deployment (CI/CD) pipelines to prevent the deployment of code that contains OAuth tokens in comments. This adds a layer of security to the deployment process, reducing the risk of production incidents.
- Developer Education: Organizations can leverage this function to educate developers about secure coding practices by providing feedback on their code. By analyzing existing code comments, developers can learn to avoid placing sensitive information in comments, fostering a culture of security awareness.
- Legacy Code Refactoring: For teams working with legacy code, this function can help identify outdated sections that include OAuth tokens in comments. By flagging these instances, teams can prioritize refactoring or updating legacy systems with better security practices.
- Incident Response Preparation: Security incident response teams can utilize this function to quickly identify codebases that might contain OAuth tokens in comments during investigations. This enables faster triage and remediation processes when responding to potential breaches or leaks.