Integrate the Firmalyzer IoTVAS API API with the Python API

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

Popular Firmalyzer IoTVAS API and Python Actions#

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 Firmalyzer IoTVAS API#

Firmalyzer IoTVAS API provides a platform for assessing the security of IoT devices. By using this API, you can automate the analysis of firmware, uncover vulnerabilities, check for outdated software, and verify compliance with security standards. Integrating Firmalyzer with Pipedream allows for the seamless incorporation of IoT security checks into broader automation workflows, which can facilitate continuous monitoring, alerting, and reporting within your infrastructure.

Connect Firmalyzer IoTVAS API#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    firmalyzer_iotvas: {
      type: "app",
      app: "firmalyzer_iotvas",
    }
  },
  async run({steps, $}) {
    const data = {
      "snmp_sysdescr": ``,
      "ftp_banner": `AXIS P3346 Fixed Dome Network Camera 5.20 (2017) ready.`,
      "telnet_banner": ``,
      "hostname": ``,
      "http_response": ``,
      "https_response": ``,
      "upnp_response": ``,
      "nic_mac": ``,
    }
    return await axios($, {
      method: "post",
      url: `https://iotvas-api.firmalyzer.com/api/v1/device/detect`,
      headers: {
        "Accept": `application/json`,
        "Content-Type": `application/json`,
        "x-api-key": `${this.firmalyzer_iotvas.$auth.api_key}`,
      },
      data,
    })
  },
})

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#

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}}