Automated Network Analysis

Automation enables you to analyze vast amounts of data, and flag only data of interest for further analysis by people or external systems.

Things you can automate with Kubeshark:

  • Detection of suspicious network behaviors
  • Alerts (e.g. to Slack)
  • Telemetry messages to external systems (e.g. Grafana)
  • Forensics in the form of network snapshots (PCAPs) uploaded to an immutable datastore

Automated Network Analysis


Kubeshark supports a scripting language that is based on Javascript ES5.

In addition to its rich capabilities as a modern programming language, Kubeshark’s scripting language can trigger actions based on programmatic decisions and/or based on a schedule.

Read more in the scripting section.


Among other hooks, Kubeshark provides OSI L4 and L7 hooks that enable running functions whenever a packet is captured or a new protocol-level message is dissected.

For example, the following function leverages the OSI L7 hook onItemCaptured and will log every dissected protocol message to the console:

function onItemCaptured(data) {
  console.log("Msg:", JSON.stringify(data));

Read more in the hooks section.


Helpers are used to trigger actions that are related to the supported integrations (e.g. Slack, AWS S3).

Below is an example for a helper that uploads an object to a Webhook:


Read more in the helpers section.


Jobs are functions that are automated to run on a schedule.

This example schedules the function exampleJob to run every 5 minutes:

jobs.schedule("example-job", "0 */5 * * * *", exampleJob)

Jobs can be added and removed on-demand and in real-time based on programmable decisions.

Read more in the jobs section.