The following content is generated using a preview release of Swimlane's pyattck.
This snippet of data is scoped to the following actor groups:
- APT33
- APT34
- APT39
- Charming Kitten
Chun Hao "James" Peng flaing
flaing
/ iranian_apit_groups_possible_commands.md
Created
January 9, 2020 05:59
— forked from MSAdministrator/iranian_apit_groups_possible_commands.md
Iranian APT Groups & Possible Commands Used By These Groups
flaing
/ gist:cc528f7cf110b319392d
Last active
August 29, 2015 14:27
— forked from MichaelDrogalis/gist:bc620a7617396704125b
The Anatomy of an Onyx Program
In this tutorial, we'll take an in-depth view of what's happening when you execute a simple Onyx program. All of the code can be found in the Onyx Starter repository if you'd like to follow along. The code uses the development environment with HornetQ and ZooKeeper running in memory, so you don't need additional dependencies to run the example for yourself on your machine.
At the core of the program is the workflow - the flow of data that we ingest, apply transformations to, and send to an output for storage. In this program, we're going to ingest some sentences from an input source, split the sentence into individual words, play with capitalization, and add a suffix. Finally, we'll send the transformed data to an output source.
Let's examine the workflow pictorially: