Verdict as a Service

Verdict-as-a-Service (VaaS) is a service that provides a platform for scanning files for malware and other threats. It allows easy integration in your application. With a few lines of code, you can start scanning files for malware.

Integrate the Verdict as a Service API with the MySQL API

Setup the Verdict as a Service API trigger to run a workflow which integrates with the MySQL API. Pipedream's integration platform allows you to integrate Verdict as a Service and MySQL remarkably fast. Free for developers.

Request Verdict For A File with Verdict as a Service API on New Column from MySQL API
MySQL + Verdict as a Service
 
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Request Verdict For A File with Verdict as a Service API on New or Updated Row from MySQL API
MySQL + Verdict as a Service
 
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Request Verdict For A File with Verdict as a Service API on New Row (Custom Query) from MySQL API
MySQL + Verdict as a Service
 
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Request Verdict For A File with Verdict as a Service API on New Row from MySQL API
MySQL + Verdict as a Service
 
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Request Verdict For A File with Verdict as a Service API on New Table from MySQL API
MySQL + Verdict as a Service
 
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New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

 
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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

 
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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

 
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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

 
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New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

 
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Request Verdict For A File with the Verdict as a Service API

Scans a file for malware and other threats. See the docs here

 
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Create Row with the MySQL API

Adds a new row. See the docs here

 
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Delete Row with the MySQL API

Delete an existing row. See the docs here

 
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Execute Query with the MySQL API

Find row(s) via a custom query. See the docs here

 
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Execute Raw Query with the MySQL API

Find row(s) via a custom raw query. See the documentation

 
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Overview of Verdict as a Service

Verdict as a Service (VaaS) API provides a powerful interface for automating the analysis of files and URLs for potential threats. Leveraging the capabilities of Pipedream, users can create sophisticated workflows that trigger actions based on the results of the threat analysis. From email attachments to submitted URLs, VaaS can be integrated into a variety of security and data processing pipelines to ensure safety and compliance.

Connect Verdict as a Service

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import Vaas from "gdata-vaas";

export default defineComponent({
  props: {
    verdict_as_a_service: {
      type: "app",
      app: "verdict_as_a_service",
    }
  },
  async run({steps, $}) {
// create vaas client
    const vaas = await createVaasWithClientCredentialsGrant(
      CLIENT_ID,
      CLIENT_SECRET,
      TOKEN_URL,
      VAAS_URL
    );
    // request verdict for file
    const verdict = await vaas.forFile(response.data);
    if (verdict === "Malicious") {
      console.log("This was malware.");
    }
  },
})

Overview of MySQL

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL

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import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.mysql.executeQuery(queryObj);
    return rows;
  },
});