40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
# Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
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# or more contributor license agreements. Licensed under the Elastic License
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# 2.0; you may not use this file except in compliance with the Elastic License
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# 2.0.
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from . import common
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from . import RtaMetadata
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metadata = RtaMetadata(
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uuid="e5d376ae-d634-41fa-903c-42f35736a615",
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platforms=["macos"],
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endpoint=[],
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siem=[
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{
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"rule_name": "Suspicious Child Process of Adobe Acrobat Reader Update Service",
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"rule_id": "f85ce03f-d8a8-4c83-acdc-5c8cd0592be7",
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}
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],
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techniques=["T1068"],
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)
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@common.requires_os(*metadata.platforms)
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def main():
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masquerade = "/tmp/com.adobe.ARMDC.SMJobBlessHelper"
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common.create_macos_masquerade(masquerade)
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# Execute command
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common.log("Launching fake com.adobe.ARMDC.SMJobBlessHelper commands to adobe mimic privesc")
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common.execute([masquerade, "childprocess", masquerade], timeout=10, kill=True)
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# cleanup
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common.remove_file(masquerade)
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if __name__ == "__main__":
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exit(main())
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