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mailinabox/management/logscan.py

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#!/usr/bin/python3
import argparse
import calendar
import gzip
import logging
import os
import pickle
import re
import shutil
import tempfile
import time
from collections import OrderedDict, defaultdict, Iterable
from datetime import datetime, timedelta
from functools import partial, lru_cache
from statistics import mean, stdev
from dateutil import parser
from dateutil.relativedelta import relativedelta
import utils
MONTHS = dict((v, k) for k, v in enumerate(calendar.month_abbr))
KNOWN_SERVICES = (
"anvil",
"auth",
"auth-worker",
"config", # Postfix config warning (anvil client limit warning encountered)
"imap",
"imap-login",
"indexer", # Dovecot restart
"indexer-worker", # Dovecot indexer-worker process
"lmtp",
"log", # Dovecot restart
"managesieve-login",
"master", # Dovecot restart
"opendkim",
"opendmarc",
"pop3",
"pop3-login",
"postfix/anvil",
"postfix/bounce",
"postfix/cleanup",
"postfix/lmtp",
"postfix/master",
"postfix/pickup",
"postfix/qmgr",
"postfix/scache",
"postfix/smtp",
"postfix/smtpd",
"postfix/submission/smtpd",
"postfix/tlsmgr",
"postgrey",
"spampd",
"ssl-params", # Dovecot restart
)
LOG_DIR = '/var/log/'
LOG_FILES = [
'mail.log',
'mail.log.1',
'mail.log.2.gz',
'mail.log.3.gz',
'mail.log.4.gz',
'mail.log.5.gz',
'mail.log.6.gz',
]
HISTORY_FILE = os.path.expanduser('~/.cache/logscan.cache')
HISTORY_SIZE = 30 # The number of days of history to remember
# Regular expressions used for log line parsing
MAIN_REGEX = re.compile(r"(\w+[\s]+\d+ \d+:\d+:\d+) ([\w]+ )?([\w\-/]+)[^:]*: (.*)")
SENT_REGEX = re.compile("([A-Z0-9]+): client=(\S+), sasl_method=(PLAIN|LOGIN), sasl_username=(\S+)")
RECV_REGEX = re.compile("([A-Z0-9]+): to=<(\S+)>, .* Saved")
CHCK_REGEX = re.compile("Info: Login: user=<(.*?)>, method=PLAIN, rip=(.*?),")
GREY_REGEX = re.compile("action=(greylist|pass), reason=(.*?), (?:delay=\d+, )?client_name=(.*), "
"client_address=(.*), sender=(.*), recipient=(.*)")
RJCT_REGEX = re.compile("NOQUEUE: reject: RCPT from .*?: (.*?); from=<(.*?)> to=<(.*?)>")
# Small helper functions, needed for pickling
def dd_list():
return defaultdict(list)
def dd():
return defaultdict(dd_list)
# Functions for extracting data from log lines produced by certain services
def scan_postfix_submission(collector, user_match, date, log):
""" Parse a postfix submission log line
Lines containing a sasl_method with the values 'PLAIN' or 'LOGIN' are assumed to indicate a sent email.
"""
# Match both the 'plain' and 'login' sasl methods, since both authentication methods are allowed by Dovecot
match = SENT_REGEX.match(log)
if match:
_, client, method, user = match.groups()
user = user.lower()
if user_match(user):
# Get the user data, or create it if the user is new
data = collector.setdefault(
user,
OrderedDict([
('sent', 0),
('hosts', 0),
('first', None),
('last', None),
('by hour', defaultdict(int)),
('host addresses', set()),
])
)
data['sent'] += 1
data['host addresses'].add(client)
data['hosts'] = len(data['host addresses'])
data['by hour'][date.hour] += 1
if data['last'] is None:
data['last'] = date
data['first'] = date
def scan_postfix_lmtp(collector, user_match, date, log):
""" Parse a postfix lmtp log line
It is assumed that every log of postfix/lmtp indicates an email that was successfully received by Postfix.
"""
match = RECV_REGEX.match(log)
if match:
_, user = match.groups()
user = user.lower()
if user_match(user):
# Get the user data, or create it if the user is new
data = collector.setdefault(
user,
OrderedDict([
('received', 0),
('by hour', defaultdict(int)),
('first', None),
('last', None),
])
)
data['received'] += 1
data['by hour'][date.hour] += 1
if data['last'] is None:
data['last'] = date
data['first'] = date
def scan_login(collector, user_match, date, log):
""" Scan a dovecot log line and extract interesting data """
match = CHCK_REGEX.match(log)
if match:
user, rip = match.groups()
user = user.lower()
if user_match(user):
# Get the user data, or create it if the user is new
data = collector.setdefault(
user,
OrderedDict([
('logins', 0),
('by hour', defaultdict(int)),
('first', None),
('last', None),
('by ip', defaultdict(int)),
])
)
data['logins'] += 1
data['by hour'][date.hour] += 1
if data['last'] is None:
data['last'] = date
data['first'] = date
if rip not in ('127.0.0.1', '::1'):
data['by ip'][rip] += 1
else:
data['by ip']['webmail'] += 1
def scan_greylist(collector, user_match, date, log):
""" Scan a postgrey log line and extract interesting data """
match = GREY_REGEX.match(log)
if match:
action, reason, sender_domain, sender_ip, sender_address, user = match.groups()
user = user.lower()
if user_match(user):
# Get the user data, or create it if the user is new
data = collector.setdefault(
user,
OrderedDict([
('lost', 0),
('pass', 0),
('first', None),
('last', None),
('grey-list', {}),
])
)
# Might be useful to group services that use a lot of mail different servers on sub
# domains like <sub>1.domein.com
# if '.' in client_name:
# addr = client_name.split('.')
# if len(addr) > 2:
# client_name = '.'.join(addr[1:])
if data['last'] is None:
data['last'] = date
data['first'] = date
if len(sender_address) > 36:
name, domain = sender_address.split('@')
if len(name) > 12:
sender_address = name[:12] + '…@' + domain
source = "{}{}".format(sender_address, sender_ip if sender_domain == 'unknown' else sender_domain)
if action == 'greylist' and reason == 'new':
if source not in data['grey-list']:
data['lost'] += 1
data['grey-list'][source] = "✖ on {:%Y-%m-%d %H:%M:%S}".format(date)
elif action == 'pass':
data['pass'] += 1
data['grey-list'][source] = "✔ on {:%Y-%m-%d %H:%M:%S}".format(date)
def scan_rejects(collector, known_addresses, user_match, date, log):
""" Parse a postfix smtpd log line and extract interesting data
Currently we search for received mails that were rejected.
"""
# Check if the incoming mail was rejected
match = RJCT_REGEX.match(log)
if match:
message, sender, user = match.groups()
sender = sender or 'no address'
user = user.lower()
# skip this, if reported in the grey-listing report
if 'Recipient address rejected: Greylisted' in message:
return
# only log mail to known recipients
if user_match(user):
if not known_addresses or user in known_addresses:
data = collector.setdefault(
user,
OrderedDict([
('blocked', 0),
('from', OrderedDict()),
('first', None),
('last', None),
])
)
# simplify this one
match = re.search(r"Client host \[(.*?)\] blocked using zen.spamhaus.org; (.*)", message)
if match:
message = "ip blocked: " + match.group(2)
else:
# simplify this one too
match = re.search(r"Sender address \[.*@(.*)\] blocked using dbl.spamhaus.org; (.*)", message)
if match:
message = "domain blocked: " + match.group(2)
if data['last'] is None:
data['last'] = date
data['first'] = date
data['blocked'] += 1
data['from'][sender] = "✖ on {:%Y-%m-%d %H:%M:%S}: {}".format(date, message)
class Collector(dict):
""" Custom dictionary class for collecting scan data """
def __init__(self, start_date=None, end_date=None, filters=None, no_filter=False,
sent=True, received=True, imap=False, pop3=False, grey=False, rejected=False):
super().__init__()
# Try and get all the email addresses known to this box
known_addresses = []
if not no_filter:
try:
env_vars = utils.load_environment()
import mailconfig
known_addresses = sorted(
set(mailconfig.get_mail_users(env_vars)) |
set(alias[0] for alias in mailconfig.get_mail_aliases(env_vars)),
key=email_sort
)
except (FileNotFoundError, ImportError):
pass
start_date = start_date or datetime.now()
end_date = end_date or start_date - timedelta(weeks=52)
self.update({
'end_of_file': False, # Indicates whether the end of the log files was reached
'start_date': start_date,
'end_date': end_date,
'line_count': 0, # Number of lines scanned
'parse_count': 0, # Number of lines parsed (i.e. that had their contents examined)
'scan_time': time.time(), # The time in seconds the scan took
'unknown services': set(), # Services encountered that were not recognized
'known_addresses': known_addresses, # Addresses handled by MiaB
'services': {}, # What services to scan for
'data': OrderedDict(), # Scan data, per service
})
# Caching is only useful with longer filter lists, but doesn't seem to hurt performance in shorter ones
user_match = lru_cache(maxsize=None)(partial(filter_match, [f.lower() for f in filters] if filters else None))
if sent:
data = {}
self['data']['sent mail'] = {
'scan': partial(scan_postfix_submission, data, user_match),
'data': data,
}
self['services']['postfix/submission/smtpd'] = self['data']['sent mail']
if received:
data = {}
self['data']['received mail'] = {
'scan': partial(scan_postfix_lmtp, data, user_match),
'data': data,
}
self['services']['postfix/lmtp'] = self['data']['received mail']
if imap:
data = {}
self['data']['imap login'] = {
'scan': partial(scan_login, data, user_match),
'data': data,
}
self['services']['imap-login'] = self['data']['imap login']
if pop3:
data = {}
self['data']['pop3 login'] = {
'scan': partial(scan_login, data, user_match),
'data': data,
}
self['services']['pop3-login'] = self['data']['pop3 login']
if grey:
data = {}
self['data']['grey-listed mail'] = {
'scan': partial(scan_greylist, data, user_match),
'data': data,
}
self['services']['postgrey'] = self['data']['grey-listed mail']
if rejected:
data = {}
self['data']['blocked mail'] = {
'scan': partial(scan_rejects, data, self['known_addresses'], user_match),
'data': data,
}
self['services']['postfix/smtpd'] = self['data']['blocked mail']
def get_addresses(self, complete=False):
addresses = set()
for category in self['data']:
try:
for address in self['data'][category]['data']:
addresses.add(address)
except KeyError:
logging.debug("Category %s not found" % category)
if complete:
addresses.update(self['known_addresses'])
return sorted(addresses, key=email_sort)
def group_by_address(self, complete=False):
addresses = self.get_addresses(complete)
data = {}
for address in addresses:
data[address] = {}
for category in self['data']:
data[address][category] = self['data'][category]['data'].get(address, None)
self['data'] = data
def scan_files(files, collector):
""" Scan files until they run out or the earliest date is reached """
logging.info("Scanning from {:%Y-%m-%d %H:%M:%S} back to {:%Y-%m-%d %H:%M:%S}".format(
collector['start_date'], collector['end_date']
))
for file_name in files:
scan_file(file_name, collector)
collector['scan_time'] = time.time() - collector["scan_time"]
logging.info(
"{line_count} Log lines scanned, {parse_count} lines parsed in {scan_time:.2f} seconds\n".format(**collector)
)
return collector
def scan_file(file_name, collector):
if not os.path.exists(file_name):
return
logging.debug("Processing file %s...", file_name)
collector['end_of_file'] = False
with tempfile.NamedTemporaryFile() as tmp_file:
# Copy the log file to a tmp file for scanning
if file_name[-3:] == '.gz':
shutil.copyfileobj(gzip.open(file_name), tmp_file)
else:
shutil.copyfileobj(open(file_name, 'rb'), tmp_file)
file_name = tmp_file.name
# A weird anomaly was encountered where a single log line with a much earlier date than the surrounding log
# lines was found. To avoid this anomaly from halting the scan, the following variable was introduced.
stop_scan = False
for log_line in _reverse_readline(file_name):
collector['line_count'] += 1
# If the found date is earlier than the end date, return
if _scan_mail_log_line(log_line.strip(), collector) is False:
if stop_scan:
return
stop_scan = True
else:
stop_scan = False
# If we reached this part, the file was scanned completely
collector['end_of_file'] = True
def parse_log_date(val, year):
""" Custom log file date parsing, which is much faster than any generic function from the Python lib """
try:
return datetime(
year,
MONTHS[val[0:3]],
int(val[4:6]),
int(val[7:9]),
int(val[10:12]),
int(val[13:15])
)
except KeyError:
logging.debug("Unknown month: %s", val)
return None
except ValueError:
logging.debug("Irregular date found: %s", val)
return None
def _scan_mail_log_line(line, collector):
""" Scan a log line and extract interesting data
Return False if the found date is earlier than the end date, True otherwise
"""
m = MAIN_REGEX.match(line)
if not m:
return True
date, hostname, service, log = m.groups()
# logging.debug("date: %s, host: %s, service: %s, log: %s", date, hostname, service, log)
date = parse_log_date(date, collector['start_date'].year)
# Check if the found date is within the time span we are scanning
if date is None or date > collector['start_date']:
# Don't process, but continue
return True
elif date < collector['end_date']:
# Don't process, and halt
return False
if service in collector['services']:
collector['services'][service]['scan'](date, log)
collector["parse_count"] += 1
elif service not in KNOWN_SERVICES:
if service not in collector["unknown services"]:
collector["unknown services"].add(service)
logging.debug(" Unknown service '%s':\n %s", service, line)
return True
def filter_match(filters, user):
""" Check if the given user matches any of the filters """
return filters is None or any(u in user for u in filters)
def email_sort(email):
""" Split the given email address into a reverse order tuple, for sorting i.e (domain, name) """
return tuple(reversed(email.split('@')))
def _reverse_readline(filename, buf_size=8192):
""" A generator that returns the lines of a file in reverse order
http://stackoverflow.com/a/23646049/801870
"""
with open(filename) as fh:
segment = None
offset = 0
fh.seek(0, os.SEEK_END)
file_size = remaining_size = fh.tell()
while remaining_size > 0:
offset = min(file_size, offset + buf_size)
fh.seek(file_size - offset)
buff = fh.read(min(remaining_size, buf_size))
remaining_size -= buf_size
lines = buff.split('\n')
# the first line of the buffer is probably not a complete line so
# we'll save it and append it to the last line of the next buffer
# we read
if segment is not None:
# if the previous chunk starts right from the beginning of line
# do not concat the segment to the last line of new chunk
# instead, yield the segment first
if buff[-1] is not '\n':
lines[-1] += segment
else:
yield segment
segment = lines[0]
for index in range(len(lines) - 1, 0, -1):
if len(lines[index]):
yield lines[index]
# Don't yield None if the file was empty
if segment is not None:
yield segment
def load_history(log_files, services, verbose=False):
""" Load the pickled history dictionary from the cache file, or create it if it doesn't exist yet
History dictionary structure:
{
last_date: date,
last_mail: date,
data:
<address>: {
<category>: {
<hour>: [count list],
<hour>: [count list],
<hour>: [count list],
.
.
.
}
<category>: {
<hour>: [count list],
<hour>: [count list],
<hour>: [count list],
.
.
.
}
}
}
"""
if os.path.exists(HISTORY_FILE):
try:
with open(HISTORY_FILE, 'rb') as f:
history = pickle.load(f)
last_date = history['last_date']
except (TypeError, EOFError):
os.remove(HISTORY_FILE)
if verbose:
mail_admin("History Error!", "History has been deleted")
return None
start_date = datetime.now().replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=1)
end_date = start_date - timedelta(days=1)
if last_date < start_date:
history['last_date'] = start_date
collectors = []
while last_date < start_date:
logging.info("Adding history for day %s", start_date)
collector = scan_files(
log_files,
Collector(
start_date,
end_date,
**services
)
)
collectors.append(collector)
if collector['end_of_file']:
break
else:
start_date = end_date
end_date = start_date - timedelta(days=1)
# Add them to the history, oldest first
for collector in reversed(collectors):
add_collector_to_history(collector, history)
logging.debug('History updated')
with open(HISTORY_FILE, 'wb') as f:
pickle.dump(history, f)
if verbose:
mail_admin("History updated", history_to_str(history))
else:
history = {
'last_date': None,
'last_mail': None,
'data': defaultdict(dd)
}
start_date = datetime.now().replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=1)
end_date = start_date - timedelta(days=1)
history['last_date'] = start_date
collectors = []
# Scan all log files
while True:
collector = scan_files(
log_files,
Collector(
start_date,
end_date,
**services
)
)
collectors.append(collector)
if collector['end_of_file']:
break
else:
start_date = end_date
end_date = start_date - timedelta(days=1)
# Add them to the history, oldest first
for collector in reversed(collectors):
add_collector_to_history(collector, history)
with open(HISTORY_FILE, 'wb') as f:
pickle.dump(history, f)
if verbose:
mail_admin("History created", history_to_str(history))
return history
def history_to_str(history):
content = []
for address, data in history['data'].items():
content.append(address)
for category, counts in data.items():
content.append(' %s' % category)
for hour, count in counts.items():
content.append(' %s: %s' % (hour, count))
return '\n'.join(content)
def add_collector_to_history(collector, history):
collector.group_by_address(True)
for collector_address, collector_data in collector['data'].items():
# Get the dictionary of user data
history_user_data = history['data'][collector_address]
for collector_category in collector_data:
history_user_category_data = history_user_data[collector_category]
if collector_data[collector_category] and 'by hour' in collector_data[collector_category]:
for hour in range(24):
history_user_category_data[hour].append(collector_data[collector_category]['by hour'][hour])
# Trim to last `HISTORY_SIZE` entries
history_user_category_data[hour] = history_user_category_data[hour][-HISTORY_SIZE:]
else:
for hour in range(24):
history_user_category_data[hour].append(0)
# Trim to last `HISTORY_SIZE` entries
history_user_category_data[hour] = history_user_category_data[hour][-HISTORY_SIZE:]
def count_is_suspect(count, history, threshold=0):
""" Use three-sigma rule to detect anomalous count values
:param count: The number of emails counted in a certain hour
:type count: int
:param history: List of counted emails in a certain hour over a number of days
:type history: list
:param threshold: The count value can only be suspect if it is higher than the threshold
:type threshold: int
:return: True if suspect, False otherwise
:rtype: bool
"""
if len(history) > 1 and count > threshold:
mu = mean(history)
std = stdev(history)
# logging.debug(" mean: %s, std dev: %s", mu, std)
return abs(count - mu) > 3 * std
return False
def mail_admin(subject, content):
import smtplib
from email.message import Message
from utils import load_environment
env = load_environment()
admin_addr = "administrator@" + env['PRIMARY_HOSTNAME']
# create MIME message
msg = Message()
msg['From'] = "\"%s\" <%s>" % (env['PRIMARY_HOSTNAME'], admin_addr)
msg['To'] = admin_addr
msg['Subject'] = "[%s] %s" % (env['PRIMARY_HOSTNAME'], subject)
msg.set_payload(content, "UTF-8")
smtpclient = smtplib.SMTP('127.0.0.1', 25)
smtpclient.ehlo()
smtpclient.sendmail(
admin_addr, # MAIL FROM
admin_addr, # RCPT TO
msg.as_string())
smtpclient.quit()
def print_time_table(label, data):
lbl_temp = "{:<%d}" % max(len(label), 4)
hour_line = [lbl_temp.format('hour')]
data_line = [lbl_temp.format(label)]
lines = [""]
for h in range(24):
max_len = max(len(str(data[h])), 2)
data_temp = "{:>%s}" % max_len
hour_line.append(data_temp.format(h))
data_line.append(data_temp.format(data[h] or ''))
lines.append(' '.join(hour_line))
lines.append(' '.join(data_line))
lines.append("" + (len(lines[-1]) - 3) * "")
return lines
def print_service_tables(collector, verbose=False):
address_width = 24
col_width = 8
col_tmp = "{:>%d}" % col_width
for service, service_data in collector['data'].items():
# Gather data in a flat table and convert to strings
if not service_data['data']:
logging.info("\n✖ No %s data found", service)
continue
else:
table = []
data = service_data['data'].values()
min_first = min([u["first"] for u in data])
max_last = max([u["last"] for u in data])
title = "{} ({:%Y-%m-%d %H:%M:%S} - {:%Y-%m-%d %H:%M:%S})".format(
service.capitalize(),
min_first,
max_last
)
sorted_data = OrderedDict(sorted(service_data['data'].items(), key=lambda t: email_sort(t[0])))
current_domain = ''
accum = None
for address, data in sorted_data.items():
user, domain = address.split('@')
if domain != current_domain:
header = '@%s %s' % (domain, '' * (64 - len(domain) - 3))
offset = 1 + address_width
num_atomic = len([v for v in data.values() if not isinstance(v, Iterable)])
offset += (num_atomic - 2) * col_width
if accum is None:
accum = [0] * (num_atomic - 1)
header = header[:offset] + '' + header[offset:]
table.append([header])
current_domain = domain
tmp = " {:<%d}" % (address_width - 2)
row = [tmp.format(user[:address_width - 3] + "" if len(user) > address_width else user)]
# Condense first and last date points into a time span
first = data.pop("first")
last = data.pop("last")
timespan = relativedelta(last, first)
if timespan.months:
timespan_str = "{:0.1f} months".format(timespan.months + timespan.days / 30.0)
elif timespan.days:
timespan_str = "{:0.1f} days".format(timespan.days + timespan.hours / 24.0)
elif (first.hour, first.minute) == (last.hour, last.minute):
timespan_str = "{:%H:%M}".format(first)
else:
timespan_str = "{:%H:%M} - {:%H:%M}".format(first, last)
accum[0] += 1
# Only consider flat data in a flat table
for name, value in data.items():
if isinstance(value, (int, float)):
accum[len(row)] += value
row.append(col_tmp.format(value))
row.append(timespan_str)
data[' │ timespan'] = timespan
table.append(row)
if verbose:
for name, value in data.items():
if isinstance(value, Iterable):
if name == 'by hour':
table.extend(print_time_table(service, data['by hour']))
else:
if name == 'by ip':
value = ["{:<16}{:>4}".format(*v) for v in value.items()]
table.append("")
table.append("%s" % name)
table.append(" ├─%s" % (len(name) * ""))
max_len = 0
if isinstance(value, dict):
for key, val in value.items():
key_output = str(key)
val_output = str(val)
table.append("%s" % key_output)
table.append("%s" % val_output)
max_len = max(max_len, len(key_output), len(val_output))
else:
for item in value:
table.append("%s" % str(item))
max_len = max(max_len, len(str(item)))
table.append("" + (max_len + 1) * "")
header = [" " * address_width]
header.extend([col_tmp.format(k) for k, v in data.items() if not isinstance(v, Iterable)])
table.insert(0, header)
# Print table
print_table = [
'',
title,
"" * offset + '' + "" * (64 - offset - 1),
]
for row in table:
print_table.append(''.join(row))
print_table.append("" * offset + '' + "" * (64 - offset - 1),)
accum[0] = tmp.format("Totals: {}".format(accum[0]))
accum = [col_tmp.format(v) for v in accum]
print_table.append(''.join(accum))
logging.info('\n'.join(print_table))
return
def command_run():
logger = logging.getLogger()
ch = logging.StreamHandler()
formatter = logging.Formatter('%(message)s')
ch.setFormatter(formatter)
logger.addHandler(ch)
def valid_date(string):
""" Validate the given date string fetched from the --startdate argument """
try:
date = parser.parse(string)
except ValueError:
raise argparse.ArgumentTypeError("Unrecognized date and/or time '%s'" % string)
return date
start_date = datetime.now()
time_deltas = OrderedDict([
('all', timedelta(weeks=52)),
('month', timedelta(weeks=4)),
('2weeks', timedelta(days=14)),
('week', timedelta(days=7)),
('2days', timedelta(days=2)),
('day', timedelta(days=1)),
('12hours', timedelta(hours=12)),
('6hours', timedelta(hours=6)),
('hour', timedelta(hours=1)),
('30min', timedelta(minutes=30)),
('10min', timedelta(minutes=10)),
('5min', timedelta(minutes=5)),
('min', timedelta(minutes=1)),
('today', start_date - start_date.replace(hour=0, minute=0, second=0))
])
ap = argparse.ArgumentParser(
description="Scan the mail log files for interesting data. By default, this script "
"shows today's incoming and outgoing mail statistics. This script was ("
"re)written for the Mail-in-a-box email server."
"https://github.com/mail-in-a-box/mailinabox",
add_help=False
)
# Switches to determine what to parse and what to ignore
ap.add_argument("-a", "--all", help="Scan for all services.", action="store_true")
ap.add_argument("-r", "--received", help="Scan for received emails.", action="store_true")
ap.add_argument("-s", "--sent", help="Scan for sent emails.", action="store_true")
ap.add_argument("-l", "--logins", help="Scan for IMAP and POP3 logins.", action="store_true")
ap.add_argument("-i", "--imap", help="Scan for IMAP logins.", action="store_true")
ap.add_argument("-p", "--pop3", help="Scan for POP3 logins.", action="store_true")
ap.add_argument("-g", "--grey", help="Scan for greylisted emails.", action="store_true")
ap.add_argument("-b", "--blocked", help="Scan for blocked emails.", action="store_true")
ap.add_argument("-f", "--file", help="Path to a log file.", dest="log_files", metavar='<path>', action="append")
ap.add_argument("-m", "--monitor", nargs='?', const=50, type=int, metavar='<threshold>',
help="Mail an alert to the administrator when unusual behaviour is suspected. The optional "
"threshold value sets a limit above which the number of emails sent or received per hour by a "
"user will be evaluated. The default threshold is 50. It's recommended to use this option in "
"a cron job, e.g. '*/5 * * * * <path to>/logscan.py -m', which will run every 5 minutes.")
ap.add_argument("-t", "--timespan", choices=time_deltas.keys(), default='today', metavar='<time span>',
help="Time span to scan, going back from the start date. Possible values: "
"{}. Defaults to 'today'.".format(", ".join(list(time_deltas.keys()))))
ap.add_argument("-d", "--startdate", action="store", dest="startdate", type=valid_date, metavar='<start date>',
help="Date and time to start scanning the log file from. If no date is "
"provided, scanning will start from the current date and time.")
ap.add_argument("-u", "--users", action="store", dest="users", metavar='<email1,email2,email...>',
help="Comma separated list of (partial) email addresses to filter the output by.")
ap.add_argument('-n', "--nofilter", help="Don't filter by known email addresses.", action="store_true")
ap.add_argument('-h', '--help', action='help', help="Print this message and exit.")
ap.add_argument("-v", "--verbose", help="Output extra data where available.", action="store_true")
args = ap.parse_args()
logger.setLevel(logging.DEBUG if args.verbose else logging.INFO)
# Set a custom start date, but ignore it in monitor mode
if args.startdate is not None and args.monitor is None:
start_date = args.startdate
# Change the 'today' time span to 'day' when a custom start date is set
if args.timespan == 'today':
args.timespan = 'day'
logging.info("Setting start date to {}".format(start_date))
end_date = start_date - time_deltas[args.timespan]
filters = None
if args.users is not None:
filters = args.users.strip().split(',')
logging.info("Filtering with '%s'", ", ".join(filters))
services = {}
if args.monitor is not None:
# Set the services that will be checked in monitor mode
services = {
'sent': True,
'received': True,
'grey': False,
'rejected': False,
'imap': False,
'pop3': False
}
elif True in (args.all, args.received, args.sent, args.logins, args.pop3, args.imap, args.grey, args.blocked):
services = {
'sent': args.sent or args.all,
'received': args.received or args.all,
'grey': args.grey or args.all,
'rejected': args.blocked or args.all,
'imap': args.imap or args.logins or args.all,
'pop3': args.pop3 or args.logins or args.all
}
# Print what data is going to be processed
service_names = []
logins = []
if services['sent']:
service_names.append("sent")
if services['received']:
service_names.append("received")
if services['grey']:
service_names.append("grey-listed")
if services['rejected']:
service_names.append("rejected")
if services['imap']:
logins.append("IMAP")
if services['pop3']:
logins.append("POP3")
message = "Scanning for"
if service_names:
message = "{} {} emails".format(message, ', '.join(service_names))
if logins:
message = "{} and {} logins".format(message, ', '.join(logins))
elif logins:
message = "{} {} logins".format(message, ', '.join(logins))
logging.info(message)
if args.monitor is not None:
# Load activity history
history = load_history(
args.log_files or [os.path.join(LOG_DIR, f) for f in LOG_FILES],
services,
args.verbose
)
# for a, d in history['data'].items():
# print(a)
# print([len(v) for k, v in d['sent mail'].items()])
# Fetch today's activity
col = scan_files(
args.log_files or [os.path.join(LOG_DIR, f) for f in LOG_FILES],
Collector(
start_date,
end_date,
filters,
args.nofilter,
**services
)
)
col.group_by_address(True)
# Compare today with history
report = []
now = datetime.now()
if history['last_mail'] is None or now - history['last_mail'] > timedelta(hours=0.5):
for address, data in col['data'].items():
sub_report = [address]
for category, cat_data in data.items():
# If we have 'by hour' data for the current category *and* the current address has a history
if cat_data and 'by hour' in cat_data:
# Fetch the count of the latest hour
hour, count = max(cat_data['by hour'].items())
if count_is_suspect(count, history['data'][address][category][hour], args.monitor):
msg = " Found %d %ss at %d:00 where %0.2f is the average"
msg %= count, category, hour, mean(history['data'][address][category][hour])
sub_report.append(msg)
if len(sub_report) > 1:
report.extend(sub_report)
if report:
report.extend([
"\nReset the history by deleting the '%s' file" % HISTORY_FILE,
"The current limit for warnings is %d emails per hour." % args.monitor,
])
content = '\n'.join(report)
logging.info("Suspicious activity activity!")
logging.debug(content)
mail_admin("Suspicious email activity!", content)
history['last_mail'] = now
with open(HISTORY_FILE, 'wb') as f:
pickle.dump(history, f)
else:
col = scan_files(
args.log_files or [os.path.join(LOG_DIR, f) for f in LOG_FILES],
Collector(
start_date,
end_date,
filters,
args.nofilter,
**services
)
)
print_service_tables(col, args.verbose)
if __name__ == "__main__":
command_run()