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# 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) |
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# Create a Maltego Transform Exception | |
trx.addException("We're out of gummy bears!!! Abort.") | |
# ThrowExceptions returns the errored transform. | |
trx.throwExceptions() |
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# Import MaltegoTransform-Python library | |
# from MaltegoTransform import MaltegoEntity | |
from MaltegoTransform import MaltegoTransform |
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# This returns the transform as an XML representation that Maltego | |
# uses to update the graph. | |
trx.returnOutput() |
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# Set up your Transform object. This is the basis for returning results. | |
trx = MaltegoTransform() |
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