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.
Emit new event when a new column is added to a table. See the documentation
Emit new event when a row is added or modified. See the documentation
Emit new event when a new row is added to a table. See the documentation
Emit new event when new rows are returned from a custom query that you provide. See the documentation
Emit new event when a new table is added to the database. See the documentation
Scans a file for malware and other threats. See the docs here
Finds a row in a table via a custom query. See the documentation
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.
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.");
}
},
})
On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.
import postgresql from "@pipedream/postgresql"
export default defineComponent({
props: {
postgresql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql
const queryObj = {
text: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.postgresql.executeQuery(queryObj);
},
})