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for ($fqdn, $ipv4) in $rows {
[ inet:dns:a = ( $fqdn, $ipv4 ) +#ioc +#adversary.nsogroup +#infrastructure ]
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sroberts / cti-and-ramen.md
Last active September 22, 2021 23:21
My outline for my Cyber Threat Intelligence & Ramen: A Recipe for Both presentation

Slides

Homemade Ramen & Threat Intel

A recipe for both

  • Scott J Roberts
    • Instructor: SANS FOR578 Cyber Threat Intelligence
    • Author: Intelligence Driven Incident Response
  • Metaphor Warning!!!

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Here is an overview of my past (and sometimes upcoming) speaking opportunities.

2017

2016

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I hereby claim:

  • I am sroberts on github.
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# Set up your Transform object. This is the basis for returning results.
trx = MaltegoTransform()
# This returns the transform as an XML representation that Maltego
# uses to update the graph.
trx.returnOutput()
# Import MaltegoTransform-Python library
# from MaltegoTransform import MaltegoEntity
from MaltegoTransform import MaltegoTransform
# Create a Maltego Transform Exception
trx.addException("We're out of gummy bears!!! Abort.")
# ThrowExceptions returns the errored transform.
trx.throwExceptions()
# For a 1-1 transform, so we create one location entity based
# on the geolocation data.
trx.addEntity("maltego.Location", "New York, NY")
# This can also be placed in a loop and will result in multiple entities.
locations = ["New York", "Washington DC", "San Francisco"]
for location in locations:
trx.addEntity("maltego.Location", location)