Identify if database credentials are in pull requests
using AI
Below is a free classifier to identify if database credentials are in pull requests. Just input your text, and our AI will predict if database credentials are exposed - 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-database-credentials-are-in-pull-requests", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-database-credentials-are-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-database-credentials-are-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 database credentials are exposed.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Credentials and Does Not Contain Credentials.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if database credentials are exposed).
Whether you're just curious or building if database credentials are in pull requests detection into your application, we hope our classifier proves helpful.
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Need to identify if database credentials are in pull requests at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Security Audit Compliance: Implement the identifier to scan pull requests for database credentials, ensuring compliance with security protocols. By detecting improper exposure of sensitive credentials, organizations can maintain regulatory compliance and avoid potential breaches.
- Automated Code Review: Integrating the text classification function into the code review process can automatically flag pull requests containing database credentials. This reduces the manual workload for developers and ensures that security issues are addressed before code is merged.
- CI/CD Pipeline Protection: Incorporate the identifier into Continuous Integration/Continuous Deployment (CI/CD) pipelines to prevent unauthorized access to database credentials during automatic deployments. This adds a layer of security by blocking any code that exposes sensitive information.
- Developer Training: Use the identification results as a teaching tool for developers regarding best practices for handling credentials. By analyzing flagged pull requests, organizations can provide targeted training and guidance to help developers avoid exposing sensitive data in the future.
- Incident Response: In the event of a security incident, this identifier can help identify pull requests that may have introduced vulnerabilities related to database credentials. This allows security teams to quickly assess and remediate potential breaches that could arise from lax credential management.
- Policy Enforcement: Employ this function to enforce organizational policies around database credential storage and access management. By automatically flagging relevant pull requests, organizations can ensure that all coding practices align with security policies.
- Risk Assessment Reporting: Generate reports based on the occurrence of database credentials in pull requests to inform risk assessments for projects. By maintaining visibility on how often credentials are exposed, organizations can make informed decisions on improving security measures and mitigating risks.