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Objects for parsing a list of HTTPFlows into data suitable for writing to a
HAR file.
from datetime import datetime
import dpkt
import logging as log
from pcaputil import ms_from_timedelta, ms_from_dpkt_time
from pagetracker import PageTracker
import http
import settings
class Entry:
represents an HTTP request/response in a form suitable for writing to a HAR
* request = http.Request
* response = http.Response
* page_ref = string
* startedDateTime = python datetime
* total_time = from sending of request to end of response, milliseconds
* time_blocked
* time_dnsing
* time_connecting
* time_sending
* time_waiting
* time_receiving
def __init__(self, request, response):
self.request = request
self.response = response
self.pageref = None
self.ts_start = int(request.ts_connect*1000)
self.startedDateTime = datetime.utcfromtimestamp(request.ts_connect)
endedDateTime = datetime.utcfromtimestamp(response.ts_end)
self.total_time = ms_from_timedelta(
endedDateTime - self.startedDateTime # plus connection time, someday
# calculate other timings
self.time_blocked = -1
self.time_dnsing = -1
self.time_connecting = ms_from_dpkt_time(request.ts_start -
self.time_sending = \
ms_from_dpkt_time(request.ts_end - request.ts_start)
self.time_waiting = \
ms_from_dpkt_time(response.ts_start - request.ts_end)
self.time_receiving = \
ms_from_dpkt_time(response.ts_end - response.ts_start)
# check if timing calculations are consistent
if self.time_sending + self.time_waiting + self.time_receiving != self.total_time:
def json_repr(self):
return a JSON serializable python object representation of self.
d = {
'startedDateTime': self.startedDateTime.isoformat() + 'Z', # assume time is in UTC
'time': self.total_time,
'request': self.request,
'response': self.response,
'timings': {
'blocked': self.time_blocked,
'dns': self.time_dnsing,
'connect': self.time_connecting,
'send': self.time_sending,
'wait': self.time_waiting,
'receive': self.time_receiving
'cache': {},
if self.pageref:
d['pageref'] = self.pageref
return d
def add_dns(self, dns_query):
Adds the info from the dns.Query to this entry
Assumes that the dns.Query represents the DNS query required to make
the request. Or something like that.
self.time_dnsing = ms_from_dpkt_time(dns_query.duration())
class UserAgentTracker(object):
Keeps track of how many uses each user-agent header receives, and provides
a function for finding the most-used one.
def __init__(self): = {} # {user-agent string: number of uses}
def add(self, ua_string):
Either increments the use-count for the user-agent string, or creates a
new entry. Call this for each user-agent header encountered.
if ua_string in[ua_string] += 1
else:[ua_string] = 1
def dominant_user_agent(self):
Returns the agent string with the most uses.
if not len(
return None
elif len( == 1:
# return the string from the key-value pair with the biggest value
return max(, key=lambda v: v[1])[0]
class HttpSession(object):
Represents all http traffic from within a pcap.
* user_agents = UserAgentTracker
* user_agent = most-used user-agent in the flow
* flows = [http.Flow]
* entries = [Entry], all http request/response pairs
def __init__(self, packetdispatcher):
parses http.flows from packetdispatcher, and parses those for HAR info
# parse http flows
self.flows= []
for flow in packetdispatcher.tcp.flowdict.itervalues():
except http.Error as error:
except dpkt.dpkt.Error as error:
# combine the messages into a list
pairs = reduce(lambda p, f: p+f.pairs, self.flows, [])
# set-up
self.user_agents = UserAgentTracker()
if settings.process_pages:
self.page_tracker = PageTracker()
self.page_tracker = None
self.entries = []
# sort pairs on request.ts_connect
key=lambda pair: pair.request.ts_connect
# iter through messages and do important stuff
for msg in pairs:
entry = Entry(msg.request, msg.response)
# if msg.request has a user-agent, add it to our list
if 'user-agent' in msg.request.msg.headers:
# if msg.request has a referer, keep track of that, too
if self.page_tracker:
entry.pageref = self.page_tracker.getref(entry)
# add it to the list
self.user_agent = self.user_agents.dominant_user_agent()
# handle DNS AFTER sorting
# this algo depends on first appearance of a name
# being the actual first mention
names_mentioned = set()
dns = packetdispatcher.udp.dns
for entry in self.entries:
name =
# if this is the first time seeing the name
if name not in names_mentioned:
if name in dns.by_hostname:
# TODO: handle multiple DNS queries for now just use last one
def json_repr(self):
return a JSON serializable python object representation of self.
d = {
'log': {
'version' : '1.1',
'creator': {
'name': 'pcap2har',
'version': '0.1'
'browser': {
'name': self.user_agent,
'version': 'mumble'
'entries': sorted(self.entries, key=lambda x: x.ts_start)
if self.page_tracker:
d['log']['pages'] = self.page_tracker
return d
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