Markopy
Utilizing Markov Models for brute forcing attacks
Python.Markopy.ModelMatrixCLI Member List

This is the complete list of members for Python.Markopy.ModelMatrixCLI, including all inherited members.

__init__(self, bool add_help=True)Python.Markopy.ModelMatrixCLI
_generate(self, str wordlist)Python.Markopy.ModelMatrixCLIprivate
add_arguments(self)Python.Markopy.ModelMatrixCLI
AdjustEdge(const char *payload, long int occurrence)Markov::Model< char >
argsPython.Markopy.BaseCLI
Buff(const char *str, double multiplier, bool bDontAdjustSelfLoops=true, bool bDontAdjustExtendedLoops=false)Markov::API::MarkovPasswords
check_corpus_path(str filename)Python.Markopy.BaseCLIstatic
check_export_path(str filename)Python.Markopy.BaseCLIstatic
check_import_path(str filename)Python.Markopy.BaseCLIstatic
ConstructMatrix()Markov::API::ModelMatrix
datasetFileMarkov::API::MarkovPasswordsprivate
DeallocateMatrix()Markov::API::ModelMatrixprotected
DumpJSON()Markov::API::ModelMatrix
edgeMatrixMarkov::API::ModelMatrixprotected
edgesMarkov::Model< char >private
Edges()Markov::Model< char >inline
export(self, str filename)Python.Markopy.BaseCLI
Export(std::ofstream *)Markov::Model< char >
Export(const char *filename)Markov::Model< char >
FastRandomWalk(int count, str wordlist, int minlen, int maxlen)Python.Markopy.ModelMatrix
Markov::API::ModelMatrix.FastRandomWalk(unsigned long int n, const char *wordlistFileName, int minLen=6, int maxLen=12, int threads=20, bool bFileIO=true)Markov::API::ModelMatrix
Markov::API::ModelMatrix.FastRandomWalk(unsigned long int n, std::ofstream *wordlist, int minLen=6, int maxLen=12, int threads=20, bool bFileIO=true)Markov::API::ModelMatrixprotected
FastRandomWalkPartition(std::mutex *mlock, std::ofstream *wordlist, unsigned long int n, int minLen, int maxLen, bool bFileIO, int threads)Markov::API::ModelMatrixprotected
FastRandomWalkThread(std::mutex *mlock, std::ofstream *wordlist, unsigned long int n, int minLen, int maxLen, int id, bool bFileIO)Markov::API::ModelMatrixprotected
fileIOPython.Markopy.ModelMatrixCLI
Generate(unsigned long int n, const char *wordlistFileName, int minLen=6, int maxLen=12, int threads=20)Markov::API::MarkovPasswords
generate(self, str wordlist, bool bulk=False)Python.Markopy.BaseCLI
GenerateThread(std::mutex *outputLock, unsigned long int n, std::ofstream *wordlist, int minLen, int maxLen)Markov::API::MarkovPasswordsprivate
help(self)Python.Markopy.BaseCLI
Import(const char *filename)Markov::API::ModelMatrix
Markov::API::MarkovPasswords::Import(std::ifstream *)Markov::Model< char >
import_model(self, str filename)Python.Markopy.BaseCLI
init_post_arguments(self)Python.Markopy.ModelMatrixCLI
MarkovPasswords()Markov::API::MarkovPasswords
MarkovPasswords(const char *filename)Markov::API::MarkovPasswords
matrixIndexMarkov::API::ModelMatrixprotected
matrixSizeMarkov::API::ModelMatrixprotected
Model()Markov::Model< char >
modelPython.Markopy.ModelMatrixCLI
ModelMatrix()Markov::API::ModelMatrix
modelSavefileMarkov::API::MarkovPasswordsprivate
nodesMarkov::Model< char >private
Nodes()Markov::Model< char >inline
OpenDatasetFile(const char *filename)Markov::API::MarkovPasswords
OptimizeEdgeOrder()Markov::Model< char >
outputFileMarkov::API::MarkovPasswordsprivate
parse(self)Python.Markopy.BaseCLI
parse_arguments(self)Python.Markopy.BaseCLI
parserPython.Markopy.BaseCLI
print_helpPython.Markopy.BaseCLI
process(self)Python.Markopy.BaseCLI
RandomWalk(Markov::Random::RandomEngine *randomEngine, int minSetting, int maxSetting, char *buffer)Markov::Model< char >
readyMarkov::API::ModelMatrixprotected
Save(const char *filename)Markov::API::MarkovPasswords
starterNodeMarkov::Model< char >private
StarterNode()Markov::Model< char >inline
totalEdgeWeightsMarkov::API::ModelMatrixprotected
train(self, str dataset, str seperator, str output, bool output_forced=False, bool bulk=False)Python.Markopy.BaseCLI
Train(const char *datasetFileName, char delimiter, int threads)Markov::API::ModelMatrix
TrainThread(Markov::API::Concurrency::ThreadSharedListHandler *listhandler, char delimiter)Markov::API::MarkovPasswordsprivate
valueMatrixMarkov::API::ModelMatrixprotected