With kerbrute.py:
python kerbrute.py -domain <domain_name> -users <users_file> -passwords <passwords_file> -outputfile <output_file>With Rubeus version with brute module:
jgao1025
/ kerberos_attacks_cheatsheet.md
Created
August 13, 2020 12:53
— forked from TarlogicSecurity/kerberos_attacks_cheatsheet.md
A cheatsheet with commands that can be used to perform kerberos attacks
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| import org.canova.api.records.reader.RecordReader; | |
| import org.canova.api.split.FileSplit; | |
| import org.canova.image.recordreader.ImageRecordReader; | |
| import org.deeplearning4j.datasets.canova.RecordReaderDataSetIterator; | |
| import org.deeplearning4j.datasets.iterator.DataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; |
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| package org.mydeeplearning4j.pic.detection; | |
| import org.canova.api.records.reader.RecordReader; | |
| import org.canova.api.split.FileSplit; | |
| import org.canova.image.recordreader.ImageRecordReader; | |
| import org.deeplearning4j.datasets.canova.RecordReaderDataSetIterator; | |
| import org.deeplearning4j.datasets.iterator.DataSetIterator; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; |
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| package org.mydeeplearning4j.pic.detection; | |
| import org.canova.api.records.reader.RecordReader; | |
| import org.canova.api.split.FileSplit; | |
| import org.canova.image.recordreader.ImageRecordReader; | |
| import org.deeplearning4j.datasets.canova.RecordReaderDataSetIterator; | |
| import org.deeplearning4j.datasets.iterator.DataSetIterator; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; |