Detectify

The External Attack Surface Management platform powered by elite ethical hackers.

Integrate the Detectify API with the Python API

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

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
Try it

Overview of Detectify

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.

Connect Detectify

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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}`,
      },
    })
  },
})

Overview of Python

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:

Connect Python

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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}}