Esempio n. 1
0
def init(config):
    """Do module-wide initialization according to config."""
    # if BE was imported successfully, now try and load its library
    global be_available
    if be_available:
        try:
            bulkextractor.lib_init(config['bulk.lib'])
        except OSError as e:
            config.debug_print("failed to load bulk_extractor:", str(e))
            be_available = False
Esempio n. 2
0
def init(config):
    """Do module-wide initialization according to config."""
    # if BE was imported successfully, now try and load its library
    global be_available
    if be_available:
        try:
            bulkextractor.lib_init(config['bulk.lib'])
        except OSError as e:
            config.debug_print("failed to load bulk_extractor:", str(e))
            be_available = False
# handle is opaque to python module for simplicity and loose coupling
BeHandle = c_void_p

BeCallback = CFUNCTYPE(
        c_int,    # return type

        c_void_p, # arbitrary user data
        c_uint32, # callback type code
        c_uint64, # multi-use callback argument
        c_char_p, # feature recorder name or other
        c_char_p, # feature forensic path
        c_char_p, # feature data
        c_size_t, # feature length
        c_char_p, # feature context data
        c_size_t, # context length
        )


if __name__=="__main__":
    print("Program to demonstrate the python module")
    import bulkextractor
    bulkextractor.lib_init('libbulkextractor.so')
    bulkextractor.soft_init(['email','accts'])
    be = bulkextractor.Session()
    be.analyze_buffer(b"  [email protected]  617-555-1212 ")
    be.finalize()
    histograms = be.histograms()
    print(histograms)

Esempio n. 4
0
DISABLE_ALL = 7
FEATURE_LIST = 8
SCANNER_LIST = 9

# handle is opaque to python module for simplicity and loose coupling
BeHandle = c_void_p

BeCallback = CFUNCTYPE(
    c_int,  # return type
    c_void_p,  # arbitrary user data
    c_uint32,  # callback type code
    c_uint64,  # multi-use callback argument
    c_char_p,  # feature recorder name or other
    c_char_p,  # feature forensic path
    c_char_p,  # feature data
    c_size_t,  # feature length
    c_char_p,  # feature context data
    c_size_t,  # context length
)

if __name__ == "__main__":
    print("Program to demonstrate the python module")
    import bulkextractor
    bulkextractor.lib_init('libbulkextractor.so')
    bulkextractor.soft_init(['email', 'accts'])
    be = bulkextractor.Session()
    be.analyze_buffer(b"  [email protected]  617-555-1212 ")
    be.finalize()
    histograms = be.histograms()
    print(histograms)