Identify if access token is in pull requests
using AI
Below is a free classifier to identify if access token is in pull requests. Just input your text, and our AI will predict if the access token is present in the pull request - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-access-token-is-in-pull-requests", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-access-token-is-in-pull-requests/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-access-token-is-in-pull-requests/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the access token is present in the pull request.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Access Token Not Present and Access Token Present.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the access token is present in the pull request).
Whether you're just curious or building if access token is in pull requests detection into your application, we hope our classifier proves helpful.
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Need to identify if access token is in pull requests at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Pull Request Security Monitoring: This use case focuses on the automatic detection of access tokens in pull requests submitted to a repository. By identifying sensitive tokens, organizations can prevent potential data breaches and unauthorized access, ensuring code security and compliance.
- Automated Code Review Enhancement: Incorporating a classification function to detect access tokens improves the effectiveness of code review processes. Reviewers can receive alerts when sensitive information is present, allowing them to address security issues before code merges occur.
- Continuous Integration Pipeline Integration: Integrating the access token detection with CI/CD pipelines can halt deployments when sensitive tokens are found in pull requests. This proactive measure helps maintain a high-security standard by preventing vulnerable code from being applied in production environments.
- Developer Training and Awareness: By identifying pull requests with leaked access tokens, organizations can highlight common mistakes during developer training sessions. Understanding these vulnerabilities helps cultivate a culture of security within development teams, minimizing future occurrences.
- Incident Response Facilitation: In the event of a security incident, having a classification system for access tokens can streamline the response process. Security teams can quickly locate and remediate issues linked to bygone pull requests, reducing response times and mitigating damage.
- Audit Trail Creation: Automatically documenting instances of access token detection in pull requests contributes to a comprehensive audit trail. This information can be vital for compliance purposes and assists organizations in demonstrating adherence to security policies.
- Policy Enforcement: Establishing a policy for sensitive data handling within repositories can be reinforced by use cases involving access token classification. Organizations can create specific rules that automatically reject pull requests containing tokens, enforcing security policies across all development efforts.