Esempio n. 1
0
File: data.py Progetto: mizolotu/izi
def remove_flags(input, nflags=5):
    output = f'{input}_tmp'
    writer = ppcap.Writer(filename=output)
    try:
        reader = pcap.pcap(input)
        for timestamp, raw in reader:
            try:
                pkt = ethernet.Ethernet(raw)
                if pkt[ip.IP] is not None:
                    ip_body = pkt[ip.IP]
                    if ip_body[tcp.TCP] is not None:
                        tcp_body = ip_body[tcp.TCP]
                        print(tcp_body.flags)
                        flags = decode_tcp_flags_value(tcp_body.flags,
                                                       nflags)[::-1]
                        flags = int(''.join([str(i) for i in flags]), 2)
                        print(flags)
                        pkt[ip.IP][tcp.TCP].flags = flags
                    writer.write(pkt.bin(), ts=timestamp * 1e9)
            except Exception as e:
                print(e)
    except Exception as e:
        print(e)
    writer.close()
    shutil.copyfile(output, input)
    os.remove(output)
Esempio n. 2
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File: data.py Progetto: mizolotu/izi
def split_by_label(input, labeler, meta_fpath, nulify_dscp=True):

    # meta

    try:
        with open(meta_fpath, 'r') as jf:
            meta = json.load(jf)
            if 'labels' not in meta.keys():
                meta['labels'] = []
    except:
        meta = {'labels': []}

    # read and write

    labels = []
    pwriters = []
    try:
        reader = pcap.pcap(input)
        for ts, raw in reader:
            eth = ethernet.Ethernet(raw)
            if eth[ethernet.Ethernet, ip.IP] is not None:
                src = eth[ip.IP].src_s
                dst = eth[ip.IP].dst_s
                if eth[tcp.TCP] is not None:
                    sport = eth[tcp.TCP].sport
                    dport = eth[tcp.TCP].dport
                elif eth[udp.UDP] is not None:
                    sport = eth[udp.UDP].sport
                    dport = eth[udp.UDP].dport
                else:
                    sport = 0
                    dport = 0
                label, description = labeler(ts, src, dst, sport, dport)
                if label in labels:
                    idx = labels.index(label)
                else:
                    labels.append(label)
                    pwriters.append(
                        ppcap.Writer(filename=f'{input}_label:{label}'))
                    idx = -1
                if nulify_dscp:
                    eth[ip.IP].tos = 0
                pwriters[idx].write(eth.bin(), ts=ts * 1e9)
    except Exception as e:
        print(e)

    os.remove(input)
    for pwriter in pwriters:
        pwriter.close()

    meta['labels'] += labels
    meta['labels'] = np.unique(meta['labels']).tolist()

    with open(meta_fpath, 'w') as jf:
        json.dump(meta, jf)
Esempio n. 3
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def readndump_capfile(infile_name="bugpackets.pcap"):
    outfile_name = infile_name + "_buggyagain.pcap"
    #print("will store bug-packets to: %s" % outfile_name)
    pcap_in = ppcap.Reader(filename=infile_name)

    pcap_out = ppcap.Writer(filename=outfile_name)

    for ts, bts in pcap_in:
        pass_or_dump(bts, pcap_out)

    pcap_in.close()
    pcap_out.close()
Esempio n. 4
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def readndump_network(file_name="bugpackets.pcap", iface_name="lo"):
    #print("will store bug-packets to: %s" % file_name)
    pcap_writer = ppcap.Writer(filename=file_name)
    psock = psocket.SocketHndl(iface_name=iface_name, timeout=999999)

    try:
        for bts in psock:
            pass_or_dump(bts, pcap_writer)
    except KeyboardInterrupt:
        pass

    pcap_writer.close()
    psock.close()
Esempio n. 5
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    def do_checkparsefail(self, _):
        pktwrite = ppcap.Writer(filename="parsefail.cap")
        cnt = 0

        for bts in self._logic._packet_collector:
            if cnt > 10000:
                break
            cnt += 1
            try:
                pkt = Radiotap(bts)
                pkt.dissect_full()

                for layer in pkt:
                    if layer.dissect_error:
                        logger.warning("error while parsing (in layer): %r" %
                                       ex)
                        pktwrite.write(bts)
                        break
            except Exception as ex:
                logger.warning("error while parsing: %r" % ex)
                pktwrite.write(bts)

        pktwrite.close()
        logger.warning("parsefail checking finished")
Esempio n. 6
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import socket

from pypacker import psocket, ppcap, utils
from pypacker.layer12 import ethernet, linuxcc, radiotap
from pypacker.layer3 import ip
from pypacker.layer4 import tcp
from pypacker.layer567 import http

iface = sys.argv[1]

#print("opening (wlan?) interface: %s" % iface)
#utils.set_wlan_monmode(iface)

sockhndl = psocket.SocketHndl(iface_name=iface, timeout=99999)
#pcapwriter	= ppcap.Writer(filename="parsefail.pcap", linktype=ppcap.DLT_IEEE802_11_RADIO)
pcapwriter = ppcap.Writer(filename="parsefail.pcap")
raw_bytes = b""
cnt = 0
time_start = time.time()

for bts in sockhndl:
    if cnt % 1000 == 0:
        print("%d pps" % (cnt / (time.time() - time_start)))
        time_start = time.time()
        cnt = 0

    cnt += 1

    try:
        #pkt = radiotap.Radiotap(bts)
        pkt = ethernet.Ethernet(bts)
Esempio n. 7
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"""
import sys
import time
import socket

from pypacker import psocket, ppcap, utils
from pypacker.layer12 import ethernet, linuxcc, radiotap
from pypacker.layer3 import ip

iface = sys.argv[1]

print("opening (wlan?) interface: %s" % iface)
utils.set_wlan_monmode(iface)

sockhndl = psocket.SocketHndl(iface_name=iface)
pcapwriter = ppcap.Writer(filename="parsefail.pcap",
                          linktype=ppcap.DLT_IEEE802_11_RADIO)
# pcapwriter	= ppcap.Writer(filename="parsefail.pcap")
raw_bytes = b""
cnt = 0
time_start = time.time()

while True:
    if cnt % 1000 == 0:
        print("%d pps" % (cnt / (time.time() - time_start)))
        cnt = 0
        time_start = time.time()

    cnt += 1
    try:
        raw_bytes = sockhndl.recv()
        pkt = radiotap.Radiotap(raw_bytes)
Esempio n. 8
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File: data.py Progetto: mizolotu/izi
def split_by_label_and_extract_flow_features(input,
                                             fdir,
                                             sdir,
                                             dname,
                                             meta_fpath,
                                             labeler,
                                             tstep,
                                             stages,
                                             splits,
                                             nnewpkts_min=0,
                                             lasttime_min=1.0,
                                             nulify_dscp=True,
                                             remove_flags=True):

    src_ip_idx = 0
    src_port_idx = 1
    dst_ip_idx = 2
    dst_port_idx = 3
    proto_idx = 4

    flow_ids = []
    flow_objects = []
    flow_labels = []
    flow_features = []
    flow_feature_labels = []

    tstart = None
    ttotal = 0
    npkts = 0
    nflows = 0
    nvectors = 0

    if type(tstep) == tuple or type(tstep) == list:
        assert len(
            tstep) == 4, 'There should be 4 parameters: mu, std, min and max'
        get_next_tstep = lambda: np.clip(
            np.abs(tstep[0] + np.random.rand() * tstep[1]), tstep[2], tstep[3])
        tstep_str = '-'.join([str(item) for item in tstep])
    else:
        get_next_tstep = lambda: tstep
        tstep_str = str(tstep)

    # load meta

    try:
        with open(meta_fpath, 'r') as jf:
            meta = json.load(jf)
            if 'labels' not in meta.keys():
                meta['labels'] = []
    except:
        meta = {'labels': []}

    try:
        nwindows = meta['nwindows']
        nfeatures = meta['nfeatures']
        xmin = meta['xmin']
        xmax = meta['xmax']
    except:
        nwindows = None
        nfeatures = None
        xmin = None
        xmax = None

    # main read loop

    labels = []
    pwriters = []

    try:
        reader = pcap.pcap(input)
        for timestamp, raw in reader:

            # read pkt

            id, features, flags, ether, tos = read_pkt(raw)

            if id is not None:

                # label the packet

                src = id[src_ip_idx]
                dst = id[dst_ip_idx]
                sport = id[src_port_idx]
                dport = id[dst_port_idx]
                proto = id[proto_idx]
                label, description = labeler(timestamp, src, dst, sport, dport)

                # nulify tos field because it will be used to mark flows

                if nulify_dscp:
                    ether[ip.IP].tos = 0

                # remove last 3 tcp flags

                if np.sum(flags) > 0 and remove_flags:
                    ether[ip.IP][tcp.TCP].flags = int(
                        ''.join([str(i) for i in flags[::-1]]), 2)

                # write the packet

                if label in labels:
                    label_idx = labels.index(label)
                else:
                    labels.append(label)
                    pwriters.append(
                        ppcap.Writer(filename=f'{input}_label:{label}'))
                    label_idx = -1
                pwriters[label_idx].write(ether.bin(), ts=timestamp * 1e9)

                # time start

                if tstart is None:
                    tstart = int(timestamp)
                    seconds = get_next_tstep()

                # add packets to flows

                reverse_id = [dst, dport, src, sport, proto]

                if timestamp > (tstart + seconds):

                    # remove old flows

                    tmp_ids = []
                    tmp_objects = []
                    tmp_labels = []
                    for i, o, l in zip(flow_ids, flow_objects, flow_labels):
                        if o.is_active:
                            tmp_ids.append(i)
                            tmp_objects.append(o)
                            tmp_labels.append(l)
                    flow_ids = list(tmp_ids)
                    flow_objects = list(tmp_objects)
                    flow_labels = list(tmp_labels)

                    # calculate_features

                    flow_features_t = []
                    flow_labels_t = []
                    for flow_id, flow_object, flow_label in zip(
                            flow_ids, flow_objects, flow_labels):
                        if flow_object.nnewpkts > nnewpkts_min or (
                                timestamp -
                                flow_object.lasttime) > lasttime_min:
                            t_calc_start = time()
                            _features = flow_object.get_features()
                            ttotal += time() - t_calc_start
                            flow_features_t.append(_features)
                            flow_labels_t.append(flow_label)
                    flow_features.extend(flow_features_t)
                    flow_feature_labels.extend(flow_labels_t)

                    # update time

                    seconds += get_next_tstep()

                # add packets

                if id in flow_ids:
                    direction = 1
                    idx = flow_ids.index(id)
                    flow_objects[idx].append(timestamp, features, flags,
                                             direction)
                elif reverse_id in flow_ids:
                    direction = -1
                    idx = flow_ids.index(reverse_id)
                    flow_objects[idx].append(timestamp, features, flags,
                                             direction)
                else:
                    flow_ids.append(id)
                    flow_objects.append(Flow(timestamp, id, features, flags))
                    flow_labels.append(label)
                    nflows += 1

                npkts += 1

        # lists to arrays

        flow_features = np.array(flow_features, dtype=np.float)
        flow_feature_labels = np.array(flow_feature_labels, dtype=np.float)
        assert flow_features.shape[0] == len(flow_feature_labels)

        # update meta

        nvectors = flow_features.shape[0]
        if nvectors > 0:
            if nfeatures is None:
                nwindows = flow_features.shape[1]
                nfeatures = flow_features.shape[2]
                xmin = np.min(flow_features[:, -1, :], axis=0)
                xmax = np.max(flow_features[:, -1, :], axis=0)
            else:
                assert nwindows == flow_features.shape[1]
                assert nfeatures == flow_features.shape[2]
                xmin = np.min(np.vstack([xmin, flow_features[:, -1, :]]),
                              axis=0)
                xmax = np.max(np.vstack([xmax, flow_features[:, -1, :]]),
                              axis=0)

            # split and save features

            for label in labels:
                features_label_dir = osp.join(fdir, str(label))
                stats_label_dir = osp.join(sdir, str(label))
                for _dir in [features_label_dir, stats_label_dir]:
                    if not osp.isdir(_dir):
                        os.mkdir(_dir)
                output_f = osp.join(features_label_dir, dname)
                stats_f = osp.join(stats_label_dir, dname)
                idx = np.where(flow_feature_labels == label)[0]
                if len(idx) > 0:
                    values_l = np.hstack([
                        flow_features[idx, :].reshape(len(idx),
                                                      nwindows * nfeatures),
                        flow_feature_labels[idx, None]
                    ])
                    inds = np.arange(len(values_l))
                    inds_splitted = [[] for _ in stages]
                    np.random.shuffle(inds)
                    val, remaining = np.split(inds,
                                              [int(splits[1] * len(inds))])
                    tr, te = np.split(remaining,
                                      [int(splits[0] * len(remaining))])
                    inds_splitted[0] = tr
                    inds_splitted[1] = te
                    inds_splitted[2] = val
                    for fi, stage in enumerate(stages):
                        fname = '{0}_{1}_{2}'.format(output_f, tstep_str,
                                                     stage)
                        pandas.DataFrame(
                            values_l[inds_splitted[fi], :]).to_csv(
                                fname, header=False, mode='a', index=False)

                # save stats

                pandas.DataFrame([[input] + [nflows, npkts]
                                  ]).to_csv(stats_f,
                                            header=False,
                                            mode='a',
                                            index=False)

            # save meta

            meta['labels'] += labels
            meta['labels'] = np.unique(meta['labels']).tolist()
            meta['nwindows'] = nwindows
            meta['nfeatures'] = nfeatures
            meta['xmin'] = xmin.tolist()
            meta['xmax'] = xmax.tolist()
            with open(meta_fpath, 'w') as jf:
                json.dump(meta, jf)

    except Exception as e:
        exc_type, exc_obj, exc_tb = sys.exc_info()
        fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
        print(e, fname, exc_tb.tb_lineno)

    # close writers

    os.remove(input)
    for pwriter in pwriters:
        pwriter.close()

    return nvectors, ttotal
Esempio n. 9
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    type=auto_addr,
    help=
    """Specific advertisting address to follow (mode 1 or 2). If not set all connections fill be followed""",
    default=None)

CMD_BTLE_MODES = {
    0: BTLE_MODE_FIXEDCHANNEL,
    1: BTLE_MODE_FOLLOW_STATIC,
    2: BTLE_MODE_FOLLOW_DYNAMIC
}

parsed_args = parser.parse_args()

parsed_args.fh_pcap = None
parsed_args.btle_mode = CMD_BTLE_MODES[parsed_args.mode]
parsed_args.crc_init = 0xAAAAAA

if parsed_args.btle_mode == BTLE_MODE_FOLLOW_DYNAMIC and parsed_args.advaddr is None:
    logger.warning("Parameter advaddr NOT set in mode 2!")
    sys.exit(1)

if parsed_args.pcapfile is not None:
    parsed_args.fh_pcap = ppcap.Writer(
        filename=parsed_args.pcapfile,
        linktype=ppcap.LINKTYPE_BLUETOOTH_LE_LL_WITH_PHDR)

scan_btle(parsed_args)

if parsed_args.fh_pcap is not None:
    parsed_args.fh_pcap.close()