msg = '{}/{} Checking : Log: {}'.format(
log_idx + 1, len(log_list), path)
utility.print_message(OK, msg)
utility.write_log(20, msg)
# Cutting response byte.
if max_target_byte != 0 and (max_target_byte <
len(target_log)):
utility.print_message(
WARNING,
'Cutting response byte {} to {}.'.format(
len(target_log), max_target_byte))
target_log = target_log[:max_target_byte]
# Check product name/version using signature.
product_list = version_checker.get_product_name(
target_log)
# Check product name/version using Machine Learning.
if opt_ml:
product_list.extend(
version_checker_ml.get_product_name(
target_log))
# Get CVE for products.
product_list = cve_explorer.cve_explorer(
product_list)
# Check unnecessary comments.
comments, comment_list = comment_checker.get_bad_comment(
target_log)
# Analyze gathered logs.
for target_item in target_logs:
target_id = target_item[0]
for log_idx2, target_log in enumerate(target_item[1]):
date = utility.get_current_date('%Y%m%d%H%M%S%f')[:-3]
print_date = utility.transform_date_string(
utility.transform_date_object(date[:-3], '%Y%m%d%H%M%S'))
msg = '{}/{}-{}/{} Checking : Log: {}'.format(log_idx + 1, len(log_list),
log_idx2 + 1, len(target_logs),
path)
utility.print_message(OK, msg)
utility.write_log(20, msg)
# Check product name/version using signature.
product_list = version_checker.get_product_name(target_log)
# Check product name/version using Machine Learning.
if opt_ml:
product_list.extend(version_checker_ml.get_product_name(target_log))
# Get CVE for products.
product_list = cve_explorer.cve_explorer(product_list)
# Check unnecessary comments.
comments, comment_list = comment_checker.get_bad_comment(target_log)
# Save all gotten comments to the local file.
boundary = '-' * 5 + '[' + path + ']' + '-' * 5 + '\n' + date + '\n'
comment_log_name = 'all_comments.log'
comment_log_path = os.path.join(opt_log_path, comment_log_name)