Identify if database credentials are in file properties using AI

Below is a free classifier to identify if database credentials are in file properties. Just input your text, and our AI will predict if database credentials are exposed - in just seconds.

if database credentials are in file properties identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-database-credentials-are-in-file-properties", "your_text_here", credentials)
            

fetch('https://www.nyckel.com/v1/functions/if-database-credentials-are-in-file-properties/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-file-properties/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 Credentials Found and No Credentials Found.

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 file properties detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify if database credentials are in file properties at scale?

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



  • Database Security Audit: Organizations can use the text classification function to perform automated audits of their file systems. By identifying files that contain database credentials in their properties, businesses can quickly address potential security vulnerabilities and ensure compliance with data protection regulations.

  • Sensitive Data Discovery: This function can be implemented in data discovery tools to find sensitive database credentials across various applications and file stores. By flagging such instances, companies can better manage their sensitive information and implement appropriate safeguards.

  • Compliance Monitoring: In regulated industries, maintaining compliance with data privacy laws is crucial. This identifier can help compliance teams regularly monitor files for unauthorized access to database credentials, allowing timely remediation to prevent data breaches.

  • Configuration Management: IT departments can leverage this function to ensure that database credentials are not inadvertently included in application configuration files. By identifying such files early, organizations can minimize the risk of exposing sensitive information during deployment.

  • Risk Assessment: For risk management teams, the ability to identify files containing database credentials is essential in assessing potential security risks. This classifier can help create a risk profile for data assets and guide strategies for data protection.

  • Incident Response: In the event of a security incident, this function can aid incident response teams by quickly pinpointing files with database credentials involved in the breach. Rapid identification allows for more effective containment and mitigation efforts.

  • Training and Awareness Programs: Organizations can use insights from this function to inform employee training about the risks of mishandling database credentials. Highlighting the importance of file properties and secure storage can foster a culture of security awareness among staff.

Want this classifier for your business?

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

Get Access