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 Schedule API
Setup the Verdict as a Service API trigger to run a workflow which integrates with the Schedule API. Pipedream's integration platform allows you to integrate Verdict as a Service and Schedule remarkably fast. Free for developers.
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Popular Ways to Connect Verdict as a Service with Schedule#
Popular Verdict as a Service and Schedule Triggers#
Popular Verdict as a Service and Schedule Actions#
Scans a file for malware and other threats. See the docs here
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#
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 Schedule#
The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.
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