def main():
loglines = preprocess_step(log_file, transforms_file, *read_lines_args, **read_lines_kwargs)
if write_to_pickle_file:
write_pickle_file(loglines, loglines_file)
# loglines = read_pickle_file(loglines_file)
# count cardinality; print unique lines if verbose and there are actually
# transforms to apply
log_cardinality(loglines, get_item=operator.attrgetter("processed"), item_title="Transform", verbose=False)
gen_templates = template_step(loglines, "logcluster", **logcluster_kwargs)
# gen_templates = template_step(loglines, "stringmatch") # WIP
if write_to_pickle_file:
write_pickle_file(gen_templates, gen_templates_file)
# gen_templates = read_pickle_file(gen_templates_file)
eval_loglines = genapply_step(loglines, gen_templates, **genapply_kwargs)
if write_to_pickle_file:
write_pickle_file(eval_loglines, eval_loglines_file)
# eval_loglines = read_pickle_file(eval_loglines_file)
gen_windows = genwindow_step(eval_loglines, **gen_windows_kwargs)
if write_to_pickle_file:
write_pickle_file(gen_windows, gen_windows_file)
# gen_windows = read_pickle_file(modelgen_windows_file)
# gen_events = event_step(gen_windows, "fp_growth", **fp_growth_kwargs)
# gen_events = event_step(gen_windows, "paris", **paris_kwargs)
gen_events = event_step(gen_windows, "glove", **glove_kwargs)
if write_to_pickle_file:
write_pickle_file(gen_events, gen_events_file)
# gen_events = read_pickle_file(gen_events_file)
"""
# pretty print
template_d = {template_id : template for (template_id, template) in [(template.id, template) for template in gen_templates]}
e = []
for event in gen_events:
ts = []
for template_id in event.template_ids:
ts.append("%s: %s" % (template_id, template_d[template_id]))
e.append(ts)
from pprint import pformat
logger.info("Discovered events:")
logger.info("\n"+pformat(e))
"""
timed_events = evalapply_step(gen_events, eval_loglines, **eval_apply_kwargs)
write_pickle_file(timed_events, timed_events_file)
# timed_events = read_pickle_file(timed_events_file)
logger.info("Done!")
def main():
loglines = preprocess_step(log_file, transforms_file, *read_lines_args, **read_lines_kwargs)
write_pickle_file(loglines, transformed_lines_file)
#loglines = read_pickle_file(transformed_lines_file)
gen_templates = template_step(loglines, "logcluster", **logcluster_kwargs)
#gen_templates = template_step(loglines, "stringmatch") # WIP
write_pickle_file(gen_templates, templates_file)
#gen_templates = read_pickle_file(templates_file)
timed_templates = genapply_step(loglines, gen_templates)
write_pickle_file(timed_templates, timed_templates_file)
#timed_templates = read_pickle_file(timed_templates_file)
modelgen_windows = genwindow_step(timed_templates, **modelgen_windows_kwargs)
write_pickle_file(modelgen_windows, modelgen_windows_file)
#modelgen_windows = read_pickle_file(modelgen_windows_file)
gen_events = event_step(modelgen_windows, "fp_growth", **fp_growth_kwargs)
#gen_events = event_step(modelgen_windows, "paris", **paris_kwargs) # WIP
write_pickle_file(gen_events, events_file)
#gen_events = read_pickle_file(events_file)
"""
# pretty print
template_d = {template_id : template for (template_id, template) in [(template.id, template) for template in gen_templates]}
e = []
for event in gen_events:
ts = []
for template_id in event.template_ids:
#ts.append(template_id)
ts.append("%s: %s" % (template_id, template_d[template_id].str))
e.append(ts)
from pprint import pformat
logger.info("Discovered events:")
logger.info("\n"+pformat(e))
"""
"""
modeleval_windows = evalwindow_step(timed_templates, window_size)
write_pickle_file(modeleval_windows, modeleval_windows_file)
#modeleval_windows = read_pickle_file(modeleval_windows_file)
"""
timed_events = evalapply_step(gen_events, timed_templates, loglines)
write_pickle_file(timed_events, timed_events_file)
#timed_events = read_pickle_file(timed_events_file)
logger.info("Done!")
def run_pipeline(options):
read_lines_kwargs = {'transforms_file': options.transforms_file,
'gettime_auditd': options.auditd,
'type_template_auditd': options.auditd_templates_file,
'ts_start_index': options.ts_start_index,
'ts_end_index': options.ts_end_index,
'ts_format': options.ts_format,
'skip_num_chars': options.skip_num_chars,
'mp': options.mp,}
loglines = []
log_files = []
if options.data_file:
log_files.append(options.data_file)
if options.data_dir:
log_files.extend(glob.glob(os.path.join(options.data_dir, '*')))
if not log_files or (not options.data_file and not options.data_dir):
raise RuntimeError('No input specified/available')
for log_file in log_files:
loglines.extend(
preprocess_step(
log_file,
**read_lines_kwargs))
# count cardinality; print unique lines if verbose and there are actually
# transforms to apply
log_cardinality(loglines,
get_item=operator.attrgetter('processed'),
item_title='Transform',
verbose=options.verbose and options.transforms_file)
if options.save_intermediate:
transformed_lines_file = os.path.join(
options.pickle_cache_dir, "transformed_lines.pickle")
write_pickle_file(loglines, transformed_lines_file)
if read_lines_kwargs.get('type_template_auditd'):
# Read in auditd template definitions
templates = get_auditd_templates(options.auditd_templates_file)
else:
# Generate templates
if options.template_gen == 'logcluster':
logcluster_kwargs = {"support": str(options.template_support)}
templates = template_step(
loglines, "logcluster", **logcluster_kwargs)
elif options.template_gen == 'stringmatch':
templates = template_step(loglines, "stringmatch") # WIP
else:
raise NotImplementedError(
'%s Template generation method not implemented' %
options.template_gen)
if options.save_intermediate:
templates_file = os.path.join(
options.pickle_cache_dir, "templates.pickle")
write_pickle_file(templates, templates_file)
log_cardinality(templates,
item_key=operator.attrgetter('id'),
item_title='Template',
verbose=options.verbose)
timed_templates = genapply_step(loglines, templates, **read_lines_kwargs)
if options.save_intermediate:
timed_templates_file = os.path.join(
options.pickle_cache_dir, "timed_templates.pickle")
write_pickle_file(timed_templates, timed_templates_file)
modelgen_windows = genwindow_step(timed_templates,
window_size=options.gwindow_time,
tfidf_threshold=options.gtfidf_threshold)
if options.save_intermediate:
modelgen_windows_file = os.path.join(
options.pickle_cache_dir, "modelgen_windows.pickle")
write_pickle_file(modelgen_windows, modelgen_windows_file)
if options.event_gen == 'fp-growth':
fp_growth_kwargs = {
"min_support": options.min_support,
"iterations": options.iterations,
"tfidf_threshold": options.tfidf_threshold}
gen_events = event_step(
modelgen_windows,
"fp_growth",
**fp_growth_kwargs)
elif options.event_gen == 'paris':
paris_kwargs = {
"r_slack": options.r_slack,
"num_iterations": options.num_iterations,
"tau": options.tau}
gen_events = event_step(
modelgen_windows,
"paris",
**paris_kwargs) # WIP
elif options.event_gen == 'glove':
glove_kwargs = {
'num_components': options.num_components,
'glove_window': options.glove_window,
'epochs': options.epochs}
gen_events = event_step(
modelgen_windows,
"glove",
verbose=options.verbose,
**glove_kwargs)
elif options.event_gen == 'auditd':
# ignore timed_templates and modelgen_window and pass templates to auditd-specific event generator
gen_events = auditd.event_gen(templates)
else:
raise NotImplementedError('%s Not implemented' % options.event_gen)
if options.save_intermediate:
events_file = os.path.join(options.pickle_cache_dir, "events.pickle")
write_pickle_file(gen_events, events_file)
logger.info("Discovered events: %d" % len(gen_events))
if options.verbose:
# Print events and their templates
if read_lines_kwargs.get('type_template_auditd'):
template_list = [(templates[template], template)
for template in templates]
else:
template_list = [(template.id, template) for template in templates]
template_d = {
template_id: template for (
template_id,
template) in template_list}
e = []
for event in sorted(gen_events, key=lambda event:event.id):
ts = ["event_id: %s" % event.id]
for template_id in sorted(event.template_ids):
ts.append("%s: %s" % (template_id, template_d[template_id]))
e.append(ts)
from pprint import pformat
logger.info("\n" + pformat(e))
# compute how many times each template was used (i.e. how many events each template appears in)
event_templates = (
template_d[template_id] for event in gen_events for template_id in event.template_ids)
log_cardinality(
event_templates,
item_title='EventTemplate',
item_key=operator.attrgetter('id'),
verbose=options.verbose)
timed_events = evalapply_step(
gen_events, timed_templates, window_time=options.awindow_time, mp=options.mp)
if options.save_intermediate:
timed_events_file = os.path.join(
options.pickle_cache_dir, "timed_events.pickle")
write_pickle_file(timed_events, timed_events_file)
logger.info("Timed events: %d" % len(timed_events))
log_cardinality(
timed_events,
item_title='TimedEvent',
get_item=operator.attrgetter('event_id'),
verbose=options.verbose)
if options.verbose > 1:
# Print timed event summary for -vv
# sort timed_templates in ascending time order
for te in timed_events:
te.timed_templates.sort(key=lambda tt: tt.ts)
if options.sort_events_key=='time':
# sort timed events in ascending time order (of their first occurring timed_template)
timed_event_key = lambda te: te.timed_templates[0].ts
else:
# sort timed events by event id, then by time order
timed_event_key = lambda te: (te.event_id, te.timed_templates[0].ts)
timed_events.sort(key=timed_event_key)
e = []
for event in timed_events:
s = strTimedEvent(event)
e.append(s)
logger.info("\n" + pformat(e))
logger.info("Done!")
def run_pipeline(options):
read_lines_kwargs = {
'transforms_file': options.transforms_file,
'gettime_auditd': options.auditd,
'type_template_auditd': options.auditd_templates_file,
'ts_start_index': options.ts_start_index,
'ts_end_index': options.ts_end_index,
'ts_format': options.ts_format,
'skip_num_chars': options.skip_num_chars,
'mp': options.mp,
}
loglines = []
log_files = []
if options.data_file:
log_files.append(options.data_file)
if options.data_dir:
log_files.extend(glob.glob(os.path.join(options.data_dir, '*')))
if not log_files or (not options.data_file and not options.data_dir):
raise RuntimeError('No input specified/available')
for log_file in log_files:
loglines.extend(preprocess_step(log_file, **read_lines_kwargs))
# count cardinality; print unique lines if verbose and there are actually
# transforms to apply
log_cardinality(loglines,
get_item=operator.attrgetter('processed'),
item_title='Transform',
verbose=options.verbose and options.transforms_file)
if options.save_intermediate:
transformed_lines_file = os.path.join(options.pickle_cache_dir,
"transformed_lines.pickle")
write_pickle_file(loglines, transformed_lines_file)
if read_lines_kwargs.get('type_template_auditd'):
# Read in auditd template definitions
templates = get_auditd_templates(options.auditd_templates_file)
else:
# Generate templates
if options.template_gen == 'logcluster':
logcluster_kwargs = {"support": str(options.template_support)}
templates = template_step(loglines, "logcluster",
**logcluster_kwargs)
elif options.template_gen == 'stringmatch':
templates = template_step(loglines, "stringmatch") # WIP
else:
raise NotImplementedError(
'%s Template generation method not implemented' %
options.template_gen)
if options.save_intermediate:
templates_file = os.path.join(options.pickle_cache_dir,
"templates.pickle")
write_pickle_file(templates, templates_file)
log_cardinality(templates,
item_key=operator.attrgetter('id'),
item_title='Template',
verbose=options.verbose)
timed_templates = genapply_step(loglines, templates, **read_lines_kwargs)
if options.save_intermediate:
timed_templates_file = os.path.join(options.pickle_cache_dir,
"timed_templates.pickle")
write_pickle_file(timed_templates, timed_templates_file)
modelgen_windows = genwindow_step(timed_templates,
window_size=options.gwindow_time,
tfidf_threshold=options.gtfidf_threshold)
if options.save_intermediate:
modelgen_windows_file = os.path.join(options.pickle_cache_dir,
"modelgen_windows.pickle")
write_pickle_file(modelgen_windows, modelgen_windows_file)
if options.event_gen == 'fp-growth':
fp_growth_kwargs = {
"min_support": options.min_support,
"iterations": options.iterations,
"tfidf_threshold": options.tfidf_threshold
}
gen_events = event_step(modelgen_windows, "fp_growth",
**fp_growth_kwargs)
elif options.event_gen == 'paris':
paris_kwargs = {
"r_slack": options.r_slack,
"num_iterations": options.num_iterations,
"tau": options.tau
}
gen_events = event_step(modelgen_windows, "paris",
**paris_kwargs) # WIP
elif options.event_gen == 'glove':
glove_kwargs = {
'num_components': options.num_components,
'glove_window': options.glove_window,
'epochs': options.epochs
}
gen_events = event_step(modelgen_windows,
"glove",
verbose=options.verbose,
**glove_kwargs)
elif options.event_gen == 'auditd':
# ignore timed_templates and modelgen_window and pass templates to
# auditd-specific event generator
gen_events = auditd.event_gen(templates)
else:
raise NotImplementedError('%s Not implemented' % options.event_gen)
if options.save_intermediate:
events_file = os.path.join(options.pickle_cache_dir, "events.pickle")
write_pickle_file(gen_events, events_file)
logger.info("Discovered events: %d" % len(gen_events))
if options.verbose:
# Print events and their templates
if read_lines_kwargs.get('type_template_auditd'):
template_list = [(templates[template], template)
for template in templates]
else:
template_list = [(template.id, template) for template in templates]
template_d = {
template_id: template
for (template_id, template) in template_list
}
e = []
for event in sorted(gen_events, key=lambda event: event.id):
ts = ["event_id: %s" % event.id]
for template_id in sorted(event.template_ids):
ts.append("%s: %s" % (template_id, template_d[template_id]))
e.append(ts)
from pprint import pformat
logger.info("\n" + pformat(e))
# compute how many times each template was used (i.e. how many events
# each template appears in)
event_templates = (template_d[template_id] for event in gen_events
for template_id in event.template_ids)
log_cardinality(event_templates,
item_title='EventTemplate',
item_key=operator.attrgetter('id'),
verbose=options.verbose)
timed_events = evalapply_step(gen_events,
timed_templates,
window_time=options.awindow_time,
mp=options.mp)
if options.save_intermediate:
timed_events_file = os.path.join(options.pickle_cache_dir,
"timed_events.pickle")
write_pickle_file(timed_events, timed_events_file)
logger.info("Timed events: %d" % len(timed_events))
log_cardinality(timed_events,
item_title='TimedEvent',
get_item=operator.attrgetter('event_id'),
verbose=options.verbose)
if options.verbose > 1:
# Print timed event summary for -vv
# sort timed_templates in ascending time order
for te in timed_events:
te.timed_templates.sort(key=lambda tt: tt.ts)
if options.sort_events_key == 'time':
# sort timed events in ascending time order (of their first
# occurring timed_template)
timed_event_key = lambda te: te.timed_templates[0].ts
else:
# sort timed events by event id, then by time order
timed_event_key = lambda te: (te.event_id, te.timed_templates[0].ts
)
timed_events.sort(key=timed_event_key)
e = []
for event in timed_events:
s = strTimedEvent(event)
e.append(s)
logger.info("\n" + pformat(e))
logger.info("Done!")
def main():
loglines = preprocess_step(
log_file,
transforms_file,
*read_lines_args,
**read_lines_kwargs)
if write_to_pickle_file:
write_pickle_file(loglines, loglines_file)
#loglines = read_pickle_file(loglines_file)
# count cardinality; print unique lines if verbose and there are actually
# transforms to apply
log_cardinality(loglines,
get_item=operator.attrgetter('processed'),
item_title='Transform',
verbose=False)
gen_templates = template_step(loglines, "logcluster", **logcluster_kwargs)
# gen_templates = template_step(loglines, "stringmatch") # WIP
if write_to_pickle_file:
write_pickle_file(gen_templates, gen_templates_file)
#gen_templates = read_pickle_file(gen_templates_file)
eval_loglines = genapply_step(loglines, gen_templates, **genapply_kwargs)
if write_to_pickle_file:
write_pickle_file(eval_loglines, eval_loglines_file)
#eval_loglines = read_pickle_file(eval_loglines_file)
gen_windows = genwindow_step(eval_loglines, **gen_windows_kwargs)
if write_to_pickle_file:
write_pickle_file(gen_windows, gen_windows_file)
#gen_windows = read_pickle_file(modelgen_windows_file)
#gen_events = event_step(gen_windows, "fp_growth", **fp_growth_kwargs)
#gen_events = event_step(gen_windows, "paris", **paris_kwargs)
gen_events = event_step(gen_windows, "glove", **glove_kwargs)
if write_to_pickle_file:
write_pickle_file(gen_events, gen_events_file)
#gen_events = read_pickle_file(gen_events_file)
"""
# pretty print
template_d = {template_id : template for (template_id, template) in [(template.id, template) for template in gen_templates]}
e = []
for event in gen_events:
ts = []
for template_id in event.template_ids:
ts.append("%s: %s" % (template_id, template_d[template_id]))
e.append(ts)
from pprint import pformat
logger.info("Discovered events:")
logger.info("\n"+pformat(e))
"""
timed_events = evalapply_step(
gen_events,
eval_loglines,
**eval_apply_kwargs)
write_pickle_file(timed_events, timed_events_file)
#timed_events = read_pickle_file(timed_events_file)
logger.info("Done!")