The External Attack Surface Management platform powered by elite ethical hackers.
Emit new event when a severe security finding at high risk level is detected.
Emit new event when a moderate security finding at a medium risk level is recognized.
Emit new event as soon as a new security scan on the entered domain commences
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Detectify API provides a powerful interface for automating and integrating continuous web application security testing into your development cycle. With this API, you can programmatically start scans, fetch scan profiles, retrieve findings, and manage your Detectify domain assets. When leveraged through Pipedream, you can create serverless workflows that trigger actions in other apps based on the results from Detectify, ensuring timely responses to security threats and streamlining your DevSecOps processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
detectify: {
type: "app",
app: "detectify",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.detectify.com/rest/v2/assets/`,
headers: {
"Content-Type": `application/json`,
"X-Detectify-Key": `${this.detectify.$auth.api_key}`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}