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1
7ef5d8607a6e0950d7949d82812b1aa5b163c4dda537402ab79dd1df2683bed1
2018-04
1
vtflooder
train
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0
ca910d710a04eb920aab612f2b6ffd3a7da53ef05abf5904a48986b79468185a
2018-04
0
nan
train
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-1
5a18e30b9a16c38916bc23b2d15f39e198fd623694f4c9dcbc9ebc84be86155a
2018-04
-1
darkkomet
train
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c1a2fcbd384b37c398d691791b006065bd1e8efbedc04a8a4c0b9f1516a088b4
2018-04
0
nan
train
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-1
7a2caa13e9dbb64811d0926896bc6033f18d22cd3342375556cd93c400f02b60
2018-04
-1
installmonster
train
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0
726e592e891f6c79c7f527555d2bd7f89786a4324e856844d7516cf4df5ff2b4
2018-04
0
nan
train
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1
020afe11a8369f923e18f3e9a2c56541d6beb06dd3c80cc83152fd033feae3aa
2018-04
1
zusy
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1
91b2a588456bc2e8407554cf946f1c1b87bf582ccd63c75a5ad713a6e9284d1f
2018-04
1
vtflooder
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0
59cae02a913c5f8aef5e6cfe6fe7449edd3058fe7d127aa2bb416bc25d668df7
2018-04
0
nan
train
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-1
71768594910ee777ca62a9effe28308bb5caca5828914b6e85dbce02da0ddb20
2018-04
-1
nan
train
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-1
431e07bd35cb660a5b41a72f8e5624a246a78a69f5c0bd3243765ba11cbe3e53
2018-04
-1
nan
train
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-1
eb9ed18e5de3613871c3fa82fbf96f8387cf7c08d257768ea3a195ee0737e978
2018-04
-1
vtflooder
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0
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2018-04
0
nan
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-1
fffda21eaa28582235bdbfd4a88be2cbb8f37984dc4c8381451348fea37c7cac
2018-04
-1
nan
train
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-1
6d558d7facef1946b6e36e6a590ec856b49d7dd74733507105b3777d81367c51
2018-04
-1
nan
train
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1
40da1ae0f651fec61d109e82408db95b0bba3501ed3ca06ce6df4bcb10eff364
2018-04
1
wannacry
train
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0
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2018-04
0
nan
train
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0
beb7c7684067e7d744004bc0a246ca81e098b93c9ac1e0f652a7a70b0c72eb14
2018-04
0
nan
train
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1
1db7475bf56e626c679ab8ea0204f152bda5cc8f0878c1ccc1f92cca53e43b2b
2018-04
1
nan
train
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1
a5c40e3cb2ec3bb4ef93e70fb3db8ee41006ef391e693e4aecd2e36a481d9bb6
2018-04
1
kasidet
train
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1
1160008f81d55fc6d96cfd2e95de5853c8b10157c12c3297e8873c9c71a80279
2018-04
1
filetour
train
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1
42e9d012d0c8a135e33d5f2ca38138087944c72dee7584df8b1eb8cecd67c6b1
2018-04
1
high
train
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1
5a01489a356a2cca5a3b032f7d2fa9551f80895ad08d49ef8c64e82275fc7e6a
2018-04
1
vtflooder
train
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0.11953371 0.013144817 0.0066279043 0.006534571 0.012820674 0.0033770148 0.003931968 0.003714401 0.010972934 0.0031178265 0.0027154856 0.0028498096 0.008404384 0.0021138662 0.0017644982 0.028495573 0.010468431 0.0019833262 0.0011458517 0.00129468 0.007273037 0.0031588175 0.0016654895 0.0010890951 0.0053155664 0.0008708...
0
df838e4501e60df3291bd3b40b525977ede2c6d7d779141ce2f35b9ade1d772e
2018-04
0
nan
train
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0.4888139 0.025213068 0.0149147725 0.009765625 0.008167613 0.0062144888 0.0078125 0.0014204546 0.0028409092 0.0024857954 0.009232954 0.0007102273 0.001953125 0.0007102273 0.001953125 0.00053267047 0.0030184658 0.00390625 0.0074573862 0.00053267047 0.0015980114 0.0030184658 0.0008877841 0.0012428977 0.0010653409 0.00106...
0
ae11e82855d1d7004ec12a657befc9e66ae6f52faa727fe4877ba0ed497e9097
2018-04
0
nan
train
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1
80cbe787cccc6b19c90a2dbc02b17e86031cb4465d98f6942d80b29971c3618f
2018-04
1
wronginf
train
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0
7c0a6f54a07057f3f72ddab3db36e31705b0bb3db6db708bda6d3f949cf3daff
2018-04
0
nan
train
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0.042518653 0.004862552 0.00401971 0.0045284075 0.0050420924 0.0039224587 0.0038451564 0.004069582 0.0042291735 0.0036780841 0.00384765 0.0035085182 0.004004748 0.0038950287 0.0035184927 0.0038376756 0.0040147225 0.0033564076 0.003555897 0.0035758459 0.0035259735 0.0035733522 0.0032466885 0.0032641438 0.00352348 0.0032...
1
1399e9e72bd038aa9ad8ae39dd185ec417c0a7f681d50c4fb73c1bba5f3d0c15
2018-04
1
filetour
train
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0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.008795255 0.011454285 0.004806709 0.0034771936 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 0...
-1
b5bbbede4906e40c690bb584263431f9888c5eee5392c3579c50684e00546207
2018-04
-1
vtflooder
train
[ 0.15536090731620789, 0.009678700938820839, 0.005623262375593185, 0.006250392179936171, 0.007776407524943352, 0.003804586362093687, 0.003532830160111189, 0.0036164475604891777, 0.00863348413258791, 0.0028429876547306776, 0.0029266048222780228, 0.002863891888409853, 0.005665070842951536, 0.0...
0.1553609 0.009678701 0.0056232624 0.006250392 0.0077764075 0.0038045864 0.0035328302 0.0036164476 0.008633484 0.0028429877 0.0029266048 0.002863892 0.005665071 0.0033655956 0.0020486235 0.0073374165 0.004682568 0.0025503272 0.0020486235 0.0018813888 0.00445262 0.007901833 0.0018186759 0.0015260155 0.0030729352 0.00160...
1
b67743660ad19cbab47ff696a60cf1002538d8f5f6224c00ded86595b7ff42d6
2018-04
1
installmonster
train
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0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0033749233 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
fdd866709926857de62558ec133bdf17968dd0d3b113026db10b24a86987868e
2018-04
1
vtflooder
train
[ 0.3200412392616272, 0.0280490443110466, 0.0236545130610466, 0.008083767257630825, 0.014973958022892475, 0.004177517257630825, 0.010904948227107525, 0.0028754340019077063, 0.0069444444961845875, 0.0037977430038154125, 0.012044270522892475, 0.001953125, 0.0017361111240461469, 0.0055881077423...
0.32004124 0.028049044 0.023654513 0.008083767 0.014973958 0.0041775173 0.010904948 0.002875434 0.0069444445 0.003797743 0.0120442705 0.001953125 0.0017361111 0.0055881077 0.0039605033 0.0041775173 0.005533854 0.0069986978 0.0045030382 0.002983941 0.0010850695 0.0014648438 0.0017903646 0.0013563368 0.0013563368 0.00086...
-1
2a5207a991d7a0b735fa1d214b2417310f3fd33102422654d96eacf92160fe32
2018-04
-1
nan
train
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0.17935218 0.012702047 0.0074463384 0.008532639 0.011038791 0.0040972894 0.0039665727 0.0037637365 0.013585512 0.0022131673 0.0025602423 0.0026368692 0.007725802 0.0021861224 0.0016587486 0.016799336 0.008785057 0.0016362112 0.0018931369 0.0013297034 0.004115319 0.003691617 0.001095315 0.0007482398 0.002911825 0.001343...
0
29bb06d0148d8f0b29fadd69e5d49313e2d73d524b6376b564629f5229656947
2018-04
0
nan
train
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0.2237248 0.016250376 0.006319591 0.0061315075 0.007636172 0.008595396 0.0060186577 0.0026895877 0.0053603672 0.0022569967 0.0024262713 0.0018244056 0.0014670478 0.004288294 0.0014294313 0.010419802 0.0047020763 0.002407463 0.0011473066 0.0020124887 0.0018996389 0.0047020763 0.0017303642 0.0015046644 0.0018620222 0.000...
0
f8ba6252c3e5f127fd3f7ae55b2e54450936b80e86b830a490682bbcaf8677fb
2018-04
0
nan
train
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0.23892389 0.012449597 0.00703125 0.00609879 0.007951109 0.004233871 0.0032132056 0.0029485887 0.009450605 0.0018019154 0.003061996 0.0029989919 0.006905242 0.0028981855 0.0014112904 0.010420867 0.0071446574 0.0011214718 0.0009828629 0.0012222782 0.0030367943 0.002935988 0.0016507057 0.0009954637 0.0030241935 0.0010836...
0
31628938a23ca1011846373847716086da1cb897e1abc4e57f714c67dd44332d
2018-04
0
nan
train
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0.31256822 0.013323027 0.005160968 0.007911968 0.008253001 0.004547108 0.009116951 0.002910149 0.0035467444 0.0035240087 0.002773736 0.0026373228 0.0017051655 0.0038195706 0.0033648598 0.0017506366 0.002569116 0.0015914878 0.0015005457 0.003751364 0.0023872317 0.0030920336 0.0020461986 0.0018415787 0.0013641324 0.00127...
0
fb020130cdd3788e136580f68e7d50556aaa5b7b2538e16bfcfc042a0b8ef06d
2018-04
0
nan
train
[ 0.1989026516675949, 0.016313733533024788, 0.007434210740029812, 0.007529296912252903, 0.014688528142869473, 0.003911903593689203, 0.004000308457762003, 0.003662109375, 0.013054070994257927, 0.0027641858905553818, 0.002568873343989253, 0.0023601974826306105, 0.0078053041361272335, 0.0022517...
0.19890265 0.016313734 0.0074342107 0.007529297 0.014688528 0.0039119036 0.0040003085 0.0036621094 0.013054071 0.002764186 0.0025688733 0.0023601975 0.007805304 0.0022517475 0.0020204564 0.0070708264 0.008753598 0.0017069285 0.0013872327 0.0015650699 0.006306538 0.0032750822 0.00140625 0.0015290913 0.00474558 0.0012330...
0
25fbc799e0607133890ce25a2ea3a5b229955a0dc047e6bdfa26aadac92e2f35
2018-04
0
nan
train
[ 0.014392810873687267, 0.004217724781483412, 0.003917369991540909, 0.004051923751831055, 0.004148215986788273, 0.003930761478841305, 0.00400345865637064, 0.00387018034234643, 0.004039169754832983, 0.003882934106513858, 0.0038759196177124977, 0.003849136410281062, 0.0038937751669436693, 0.00...
0.014392811 0.004217725 0.00391737 0.0040519238 0.004148216 0.0039307615 0.0040034587 0.0038701803 0.0040391698 0.003882934 0.0038759196 0.0038491364 0.0038937752 0.0038899488 0.003907167 0.0040442715 0.0041118674 0.0038019468 0.0036929008 0.0038937752 0.003919283 0.0039326744 0.0039033405 0.003801309 0.0037821783 0.00...
-1
e1215fdb31fd6f90d4626d8ae62cd2d5facba4853bb89a6df8b9734d55d55165
2018-04
-1
nan
train
[ 0.18032705783843994, 0.012744857929646969, 0.007500974461436272, 0.008538873866200447, 0.011117758229374886, 0.00407907972112298, 0.003970304504036903, 0.0037708827294409275, 0.013655852526426315, 0.002216299995779991, 0.0025244972202926874, 0.002633272670209408, 0.00774571904912591, 0.002...
0.18032706 0.012744858 0.0075009745 0.008538874 0.011117758 0.0040790797 0.0039703045 0.0037708827 0.0136558525 0.0022163 0.0025244972 0.0026332727 0.007745719 0.0021800415 0.0016135026 0.016873794 0.008838006 0.0016316319 0.001880909 0.001341564 0.0040926766 0.0036666396 0.0010741577 0.0007115728 0.0029188083 0.001346...
0
2985cea47fdf01073cf50580c63898b0f08985eb7c08a294b8db5ca11539f793
2018-04
0
nan
train
[ 0.015130900777876377, 0.0022037550806999207, 0.0016640052199363708, 0.0012415143428370357, 0.0011081433622166514, 0.0007339883013628423, 0.0006677503697574139, 0.0006677503697574139, 0.0011555840028449893, 0.0006543237250298262, 0.0006408971385098994, 0.0007178763626143336, 0.000981038087047...
0.015130901 0.002203755 0.0016640052 0.0012415143 0.0011081434 0.0007339883 0.00066775037 0.00066775037 0.001155584 0.0006543237 0.00064089714 0.00071787636 0.0009810381 0.00095955544 0.0006059879 0.0011842275 0.0017266627 0.0006632748 0.0008020165 0.00066596013 0.0007993312 0.0006937085 0.00058182003 0.00061135856 0.0...
1
7265b8282b1915520606faadd833b789f8f510ea2441eae266620a1190c2cd59
2018-04
1
adposhel
train
[ 0.16216139495372772, 0.007496303413063288, 0.003991779405623674, 0.0034673830959945917, 0.006420097313821316, 0.0025370880030095577, 0.0021347266156226397, 0.0018924253527075052, 0.007124008610844612, 0.0017677375581115484, 0.0015218991320580244, 0.0012831351486966014, 0.005041456315666437, ...
0.1621614 0.0074963034 0.0039917794 0.003467383 0.0064200973 0.002537088 0.0021347266 0.0018924254 0.0071240086 0.0017677376 0.0015218991 0.0012831351 0.0050414563 0.0015333951 0.0010567516 0.0068587153 0.004641748 0.0015006756 0.0011504885 0.0010505613 0.002593684 0.0024575 0.00092852645 0.0006128275 0.0020684032 0.00...
1
3a69936a8c08f9ce41dab87f1a6f11cbefa60f99cfbf08535a7513887b48c81f
2018-04
1
zusy
train
[ 0.05215570330619812, 0.006477058865129948, 0.005099025554955006, 0.0042758239433169365, 0.005732257384806871, 0.003918500151485205, 0.004039115738123655, 0.003956192638725042, 0.0055362568236887455, 0.0034496067091822624, 0.003598868614062667, 0.003500868333503604, 0.004815578926354647, 0....
0.052155703 0.006477059 0.0050990256 0.004275824 0.0057322574 0.0039185 0.0040391157 0.0039561926 0.005536257 0.0034496067 0.0035988686 0.0035008683 0.004815579 0.0036591764 0.0031390216 0.00629312 0.004918102 0.0028827135 0.0026625898 0.0032701911 0.004091885 0.0036003764 0.0032038526 0.0031209292 0.0040014233 0.00296...
0
755d6b20e3be7c9a3b468773b52a91fbf1d9221675a8ad245c41eeca8e3c2a47
2018-04
0
nan
train
[ 0.14130458235740662, 0.010726765729486942, 0.006635840516537428, 0.007486498914659023, 0.00951960776001215, 0.004002682399004698, 0.004009741824120283, 0.0037167766131460667, 0.011503300629556179, 0.0026296284049749374, 0.0028378807473927736, 0.002866118447855115, 0.006897038780152798, 0.0...
0.14130458 0.010726766 0.0066358405 0.007486499 0.009519608 0.0040026824 0.004009742 0.0037167766 0.011503301 0.0026296284 0.0028378807 0.0028661184 0.006897039 0.0025872719 0.0021319403 0.014023508 0.0077618156 0.0021142918 0.002361371 0.0018530937 0.0039920933 0.0037061875 0.0017330839 0.0014365889 0.0030214253 0.001...
0
602cc33a12c73159c22ab9bbfab8a461713645d55fb23c2d93c003f3ae22b47c
2018-04
0
nan
train
[ 0.1677335947751999, 0.012147210538387299, 0.004924759268760681, 0.005160538014024496, 0.00632101995870471, 0.004194407723844051, 0.003040574723854661, 0.0021867076866328716, 0.006220519542694092, 0.002537307096645236, 0.0036420407705008984, 0.002329146722331643, 0.003941494971513748, 0.002...
0.1677336 0.012147211 0.0049247593 0.005160538 0.00632102 0.0041944077 0.0030405747 0.0021867077 0.0062205195 0.002537307 0.0036420408 0.0023291467 0.003941495 0.0020580778 0.0019680625 0.0036302775 0.0045102285 0.0017834287 0.0019921006 0.0015013637 0.0028871393 0.0020580778 0.001788799 0.0016246233 0.0023265895 0.001...
1
19bcfa4b238ea415c9ced925688cfe90efe5de7b40aadc62b9896f8349b4e87d
2018-04
1
dinwod
train
[ 0.2793453335762024, 0.007999883964657784, 0.003976114094257355, 0.012692900374531746, 0.012987121008336544, 0.0023682641331106424, 0.0023848398122936487, 0.0016306419856846333, 0.005687563214451075, 0.001098145148716867, 0.002096835756674409, 0.001419300795532763, 0.004425732418894768, 0.0...
0.27934533 0.007999884 0.003976114 0.0126929 0.012987121 0.0023682641 0.0023848398 0.001630642 0.005687563 0.0010981451 0.0020968358 0.0014193008 0.0044257324 0.0016161381 0.00078320544 0.005909264 0.0038600839 0.0007044705 0.0006360954 0.00070239854 0.002662484 0.00162857 0.001035986 0.0006443833 0.001773608 0.0022190...
-1
66dd9c828bcaa736cb50c4c1b755057171b241eef974c188e737fd822c6b1726
2018-04
-1
nan
train
[ 0.5822482705116272, 0.011067708022892475, 0.0049913194961845875, 0.002170138992369175, 0.0251736119389534, 0.0015190972480922937, 0.0010850694961845875, 0.0008680555620230734, 0.0013020833721384406, 0.0008680555620230734, 0.0490451380610466, 0.0023871527519077063, 0.0026041667442768812, 0....
0.5822483 0.011067708 0.0049913195 0.002170139 0.025173612 0.0015190972 0.0010850695 0.00086805556 0.0013020834 0.00086805556 0.049045138 0.0023871528 0.0026041667 0.008246528 0.006293403 0.0030381945 0.0069444445 0.0026041667 0.00021701389 0.001953125 0.00021701389 0.0 0.00021701389 0.0006510417 0.00043402778 0.000651...
-1
ad4202f3977036b1d7b7be80bd649377bbb6c76e11a960b0b56b4497d695011d
2018-04
-1
nan
train
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0.1789372 0.0126601625 0.0074540307 0.0085150385 0.011055163 0.004068696 0.003974284 0.0037674773 0.013595289 0.0022344107 0.002522142 0.002625545 0.0077147866 0.0022254193 0.0016589488 0.016764825 0.008784786 0.0016769321 0.0019062177 0.0013532348 0.0040956708 0.0036550825 0.0011104618 0.0007418064 0.0029087802 0.0013...
-1
e87d47f2a096960ebe230f74e58b0f96b09cb95be13b42a8f65ce31bb097d06a
2018-04
-1
nan
train
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0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
89c380cfe1faa2b05720ec10cf41eda0ae3e3d036918ba391bf96191fae25dfc
2018-04
1
vtflooder
train
[ 0.18077731132507324, 0.012758185155689716, 0.007496797014027834, 0.008537261746823788, 0.011136150918900967, 0.004066444467753172, 0.003980117384344339, 0.0038029204588383436, 0.013666887767612934, 0.0022126908879727125, 0.0025398239959031343, 0.002621607156470418, 0.007778494618833065, 0....
0.18077731 0.012758185 0.007496797 0.008537262 0.011136151 0.0040664445 0.0039801174 0.0038029205 0.013666888 0.002212691 0.002539824 0.0026216072 0.0077784946 0.0021899734 0.0016084036 0.016879153 0.008841677 0.0016265777 0.0018991885 0.0013085318 0.0040891618 0.0036893326 0.0010540951 0.0006951575 0.002921479 0.00133...
-1
bb426c3bfa895502d81650f8504cbd54d13340a7020584333db7f3061392dc6b
2018-04
-1
nan
train
[ 0.006239837966859341, 0.0038410068955272436, 0.0038452029693871737, 0.0038425056263804436, 0.0038386094383895397, 0.0038224253803491592, 0.003788558766245842, 0.0038368110544979572, 0.0038694788236171007, 0.0038191284984350204, 0.003889559069648385, 0.003855692455545068, 0.003873974550515413...
0.006239838 0.003841007 0.003845203 0.0038425056 0.0038386094 0.0038224254 0.0037885588 0.003836811 0.0038694788 0.0038191285 0.003889559 0.0038556925 0.0038739746 0.003925224 0.0038934553 0.0040549957 0.004052898 0.0040133367 0.004103248 0.004087963 0.004124527 0.004244109 0.0042153373 0.004269284 0.004193459 0.004194...
-1
27286b2e899d769f176d474320c408330544304b389a01c05449e03a001cb857
2018-04
-1
high
train
[ 0.013953936286270618, 0.0039680153131484985, 0.0036956951953470707, 0.0038618259131908417, 0.0037863824982196093, 0.003612242406234145, 0.003784573869779706, 0.0038354722782969475, 0.003825137624517083, 0.0035130290780216455, 0.003531114896759391, 0.0037623541429638863, 0.003945020493119955,...
0.013953936 0.0039680153 0.0036956952 0.003861826 0.0037863825 0.0036122424 0.0037845739 0.0038354723 0.0038251376 0.003513029 0.003531115 0.0037623541 0.0039450205 0.003798009 0.003684327 0.004474933 0.0037556365 0.003594415 0.0034466286 0.003637821 0.0035861472 0.0037251492 0.003733417 0.0037967172 0.0036796764 0.003...
1
4611d843bd07a96c15ac66f17f7ccaa282861e1c8cdd8e2c95048fb677acf095
2018-04
1
linkury
train
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0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
2108c477aa1c2cf491992f680761f7faa724460f6a503e12cf3e089dcc3b78d0
2018-04
1
vtflooder
train
[ 0.01514790765941143, 0.0021607899107038975, 0.0017356137977913022, 0.0012782138073816895, 0.0010803949553519487, 0.0007456247112713754, 0.0008002262911759317, 0.0006596943712793291, 0.0011332063004374504, 0.000662379723507911, 0.0006722258985973895, 0.0005925613222643733, 0.00097387720597907...
0.015147908 0.00216079 0.0017356138 0.0012782138 0.001080395 0.0007456247 0.0008002263 0.0006596944 0.0011332063 0.0006623797 0.0006722259 0.0005925613 0.0009738772 0.0008011214 0.0007187715 0.001188703 0.0017105509 0.0005469108 0.0007572611 0.0006937085 0.0008190235 0.0006570091 0.00059614173 0.00059614173 0.000721456...
1
0083702a73a63be7395033833f176f34e325a8b1d5413b92fd5e1f0f9899f255
2018-04
1
adposhel
train
[ 0.01472994964569807, 0.009602879174053669, 0.00792053621262312, 0.0066393897868692875, 0.005316483322530985, 0.004525026306509972, 0.004019428510218859, 0.003690814832225442, 0.003801181213930249, 0.0036570087540894747, 0.0038121184334158897, 0.003602819750085473, 0.0036629745736718178, 0....
0.01472995 0.009602879 0.007920536 0.00663939 0.0053164833 0.0045250263 0.0040194285 0.0036908148 0.0038011812 0.0036570088 0.0038121184 0.0036028198 0.0036629746 0.0035436593 0.003620717 0.0036480601 0.0037345637 0.0035545966 0.003576471 0.0036420943 0.0036122657 0.0035342136 0.0036092827 0.0036734147 0.003705729 0.00...
1
ff506797a270caa50cf4d740305ebc64b999944ea7cf985190515ceea47ab67f
2018-04
1
installcore
train
[ 0.013554559089243412, 0.005379004869610071, 0.0034027714282274246, 0.003652471350505948, 0.003402326488867402, 0.0035407517571002245, 0.0034637500066310167, 0.003660928225144744, 0.0034641949459910393, 0.0034161244984716177, 0.0034503969363868237, 0.003594608511775732, 0.003617753740400076, ...
0.013554559 0.005379005 0.0034027714 0.0036524714 0.0034023265 0.0035407518 0.00346375 0.0036609282 0.003464195 0.0034161245 0.003450397 0.0035946085 0.0036177537 0.003568793 0.003491346 0.0036213144 0.0034975773 0.003491346 0.0035830361 0.0035474282 0.003464195 0.003596389 0.0036502457 0.0035661224 0.0035563302 0.0035...
0
c73d65fc874f5d7ac6e8e3b36b3b7ba8de92e7935e884dc21a26787278403520
2018-04
0
nan
train
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0.015161335 0.0021616851 0.0018143833 0.0013068572 0.0010696537 0.0008834713 0.000698184 0.0006865476 0.0011108286 0.0006247852 0.00072145683 0.0006489531 0.0009694016 0.0007420443 0.0006489531 0.0012057101 0.0016747465 0.0006122537 0.00083961105 0.00068475737 0.00084229634 0.0008047018 0.0006749112 0.00059793197 0.000...
1
d7bdb9d921964d5456096409d72759d34a86ebb338647c86c0aaf0fe3c64c9c2
2018-04
1
adposhel
train
[ 0.14503470063209534, 0.006126810796558857, 0.004602104425430298, 0.003586324630305171, 0.0038889856077730656, 0.002294833306223154, 0.0027229117695242167, 0.0031769033521413803, 0.006243936251848936, 0.0014262377517297864, 0.002144539263099432, 0.0015475094551220536, 0.0046808794140815735, ...
0.1450347 0.006126811 0.0046021044 0.0035863246 0.0038889856 0.0022948333 0.0027229118 0.0031769034 0.0062439363 0.0014262378 0.0021445393 0.0015475095 0.0046808794 0.0029944775 0.0017817607 0.0072514242 0.00527169 0.0023601332 0.0030608142 0.0022253871 0.006253265 0.0036422962 0.0057484847 0.0026669402 0.0029861855 0....
-1
cb3ecd7b689512d56563552fe818f992b328f268d4a3d9e2846a7d43d2e29b03
2018-04
-1
nan
train
[ 0.015121949836611748, 0.002167950849980116, 0.0016407324001193047, 0.0012459899298846722, 0.0010598074877634645, 0.0006391069036908448, 0.0006641699001193047, 0.000648057961370796, 0.0010803949553519487, 0.0005988270277157426, 0.0006095683202147484, 0.0006561139598488808, 0.00093359733000397...
0.01512195 0.0021679508 0.0016407324 0.0012459899 0.0010598075 0.0006391069 0.0006641699 0.00064805796 0.001080395 0.000598827 0.0006095683 0.00065611396 0.00093359733 0.000764422 0.00063284114 0.0011600596 0.001704285 0.0006140439 0.0008601985 0.0006838623 0.0007295128 0.0006767014 0.00058808574 0.0006292607 0.0006946...
1
3f554a3a1aa2a5931b88254421ad3a47ac72d8f0b05983bd778127ff3afa582d
2018-04
1
adposhel
train
[ 0.2827082574367523, 0.00764094153419137, 0.0025601773522794247, 0.002461201511323452, 0.005150047596544027, 0.0020685968920588493, 0.0012240023352205753, 0.002009211340919137, 0.004483609460294247, 0.001332875806838274, 0.0019102353835478425, 0.0008907833835110068, 0.0026162636931985617, 0...
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0
801a57d9249c8ef920598271d7ea6fcde934d4adc0609dd188a2396e31b2dcba
2018-04
0
nan
train
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0.07821845 0.007784465 0.009672174 0.004794034 0.006354665 0.0048407596 0.008354516 0.0047566537 0.004102497 0.0034950657 0.009681519 0.0038875598 0.004373505 0.004579097 0.0034483403 0.0040838066 0.0045697517 0.0037567285 0.003981011 0.0034576855 0.0051211123 0.0030838817 0.0028035287 0.003635242 0.0039529754 0.003308...
0
8a4d97da081988a44577c55268b43c01b3a6fc609f03ef10cf2fb70d85ab87a2
2018-04
0
nan
train
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0.007406627 0.004046594 0.0040747137 0.0040028943 0.0039560595 0.0039744894 0.0038896548 0.0039664144 0.0039199595 0.0039407643 0.0038903197 0.0038755948 0.0039379145 0.0039082747 0.00390628 0.0039017198 0.004351352 0.003883005 0.0038864247 0.003848425 0.0038752148 0.0038954497 0.0038712248 0.003863815 0.003869515 0.00...
0
fdf5538a26fa6f21e671da3dfd9a8f0ee1fc777571425c4ae493fcfdbd8f569c
2018-04
0
nan
train
[ 0.012119829654693604, 0.004149439744651318, 0.0038782956544309855, 0.00411765044555068, 0.004115780349820852, 0.0037723311688750982, 0.0038851520512253046, 0.0038751789834350348, 0.003998596221208572, 0.0038521161768585443, 0.003955587279051542, 0.0038352864794433117, 0.004021035972982645, ...
0.01211983 0.0041494397 0.0038782957 0.0041176504 0.0041157803 0.0037723312 0.003885152 0.003875179 0.003998596 0.0038521162 0.0039555873 0.0038352865 0.004021036 0.0038951251 0.0037498916 0.0038589726 0.0039992197 0.0038845288 0.0038359098 0.0038496228 0.0038683224 0.0038371566 0.00382282 0.003791654 0.0037804344 0.00...
1
23dd5f72d69d2895bbd14b0ef366eb7b8ef89e6c7556f1eda6b2e06caaf9446e
2018-04
1
installcore
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
-1
3d747bd505215e0fa959f74571a21d9cf28c06b94c3694c09234dc3fe1c65b9e
2018-04
-1
vtflooder
train
[ 0.03893745318055153, 0.004334984812885523, 0.003995569888502359, 0.004132526461035013, 0.004090844187885523, 0.004138481337577105, 0.004513624124228954, 0.004233755636960268, 0.004323075525462627, 0.003662109375, 0.004007479175925255, 0.0038526582065969706, 0.0037931117694824934, 0.0036323...
0.038937453 0.004334985 0.00399557 0.0041325265 0.004090844 0.0041384813 0.004513624 0.0042337556 0.0043230755 0.0036621094 0.004007479 0.0038526582 0.0037931118 0.0036323362 0.0038109757 0.0039181593 0.0037752476 0.0035727897 0.0037157012 0.0035787444 0.0037037919 0.0036085176 0.0035370616 0.003412014 0.003941978 0.00...
0
a1fb0ed0724a856e111e9d4c1b90f5f13c8382d7da3089ac6bd00d56bfce6e6e
2018-04
0
nan
train
[ 0.522216796875, 0.008589311502873898, 0.0049715908244252205, 0.005060369148850441, 0.007790305186063051, 0.002951882081106305, 0.0023748225066810846, 0.0013094815658405423, 0.00985440332442522, 0.0015980113530531526, 0.0017977628158405423, 0.0011763139627873898, 0.0052157314494252205, 0.00...
0.5222168 0.0085893115 0.004971591 0.005060369 0.007790305 0.002951882 0.0023748225 0.0013094816 0.009854403 0.0015980114 0.0017977628 0.001176314 0.0052157314 0.0024857954 0.0010431464 0.004283558 0.005925959 0.0007990057 0.00057705963 0.00039950284 0.0021528765 0.002951882 0.0008655895 0.0006658381 0.0021528765 0.000...
0
8033f9fc9e3a6aef95e9ae9a6c29eea8285abb34a6f1448caf9a161badc114ec
2018-04
0
nan
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
17079150a5d8d5f88814750aa6823cda33c1b1708a3b31a0e8317e79b929ffad
2018-04
1
vtflooder
train
[ 0.18103095889091492, 0.012773141264915466, 0.007508259266614914, 0.008554864674806595, 0.011139526031911373, 0.004072661977261305, 0.003958900459110737, 0.003772331401705742, 0.013724187389016151, 0.002211523475125432, 0.0025391567032784224, 0.0026119640097022057, 0.00777218583971262, 0.00...
0.18103096 0.012773141 0.0075082593 0.008554865 0.011139526 0.004072662 0.0039589005 0.0037723314 0.013724187 0.0022115235 0.0025391567 0.002611964 0.007772186 0.0021933217 0.001592661 0.01691861 0.008846094 0.0016154133 0.0018884409 0.0013196334 0.0040999646 0.0036767717 0.0010921104 0.0007007708 0.0029122944 0.001324...
0
f50445791adc095b45b255ef73906e0bd75cb24b50ddb2ce992d0ce5f4f7585f
2018-04
0
nan
train
[ 0.35411855578422546, 0.010463904589414597, 0.006124437320977449, 0.004604659974575043, 0.004207131452858448, 0.00860599335283041, 0.004033115226775408, 0.005287179257720709, 0.006533948704600334, 0.004370206966996193, 0.004002375993877649, 0.007458736188709736, 0.004827129654586315, 0.0016...
0.35411856 0.010463905 0.0061244373 0.00460466 0.0042071315 0.008605993 0.004033115 0.0052871793 0.0065339487 0.004370207 0.004002376 0.007458736 0.0048271297 0.0016693064 0.0014744498 0.002389338 0.0030489329 0.0010607702 0.00083048514 0.00081746 0.0010133586 0.01106202 0.0006095782 0.0011008878 0.0033182935 0.0020668...
-1
dc5a1e3c6031a68edaa6212a079ed02ed8f4ae2197bd98138ccd24b69af76dc4
2018-04
-1
nan
train
[ 0.5059826374053955, 0.004202004987746477, 0.0023853390011936426, 0.001608238322660327, 0.002753303851932287, 0.0009417843539267778, 0.001183663378469646, 0.0006613075966015458, 0.0032653671223670244, 0.0007642348646186292, 0.0043795546516776085, 0.0006587344105355442, 0.0027121331077069044, ...
0.50598264 0.004202005 0.002385339 0.0016082383 0.0027533039 0.00094178435 0.0011836634 0.0006613076 0.0032653671 0.00076423486 0.0043795547 0.0006587344 0.002712133 0.004374408 0.0005352217 0.0065616122 0.0029128413 0.0018218124 0.0012274075 0.00037568447 0.0014461279 0.0030775247 0.0002470254 0.0002444522 0.001317468...
0
ad6529e150a6dd18b1b8cca61281c076f0c76c52ef8b1478440f9af5658636f6
2018-04
0
nan
train
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0
d721638b1edd20e34012bf76b2088157ad3c7de60a0d7dd91776433581992b43
2018-04
0
nan
train
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1
8a348f4b75acd4168dc883a47b9c1fa96e5db72284bc63afd1be80b8f8c7ef82
2018-04
1
vtflooder
train
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0
9b32bbe1466c6aa23373fd8e75e0a3cbd5c23708e4febd948ea4f33b1bdac766
2018-04
0
nan
train
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0
bfba1d4324781d57e17a099fe9a9ad43735a9be45f49021a9db3c128f5d41011
2018-04
0
nan
train
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0
e3c7fe79bc725c7388c8af48d73a091c362841e740854991f854cde23b12e734
2018-04
0
nan
train
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1
32169c87dd0604f2b41c498a1fe974cd18362a5389023ef39b790deabe87a56e
2018-04
1
vtflooder
train
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0.16219936 0.007497895 0.003992627 0.003468119 0.00642146 0.0025376265 0.0021351797 0.0018928271 0.007125521 0.0017681128 0.0015222222 0.0012834076 0.005042527 0.0015337206 0.0010569759 0.0068601714 0.0046427334 0.0015009942 0.0011525017 0.0010490153 0.0025942344 0.0024580217 0.00092872354 0.0006129576 0.0020688423 0.0...
1
44773a483a033966d4576430f0a55dc06b816d77c1e99a2737744d7946b507e5
2018-04
1
zusy
train
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0.2513572 0.025675165 0.005720863 0.0065884413 0.004612768 0.008796042 0.0063908743 0.0034015942 0.0069749863 0.0035991615 0.0035390325 0.0020014432 0.0013915614 0.0041059647 0.0018296454 0.004672897 0.006777419 0.0014259209 0.0011768142 0.0020615724 0.0014087411 0.0068890876 0.0016750275 0.001262713 0.004226223 0.0029...
0
265e8b61190a458e26835c4f510f878fea51319b9ccce44e9a0dcf6c8d4569dc
2018-04
0
nan
train
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1
7bbfbe31b4b25e14504ccd86450b84477ab4ba9bd960b15f424e5d383b2001e1
2018-04
1
vtflooder
train
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0
96233ed4c3ace2e6eb860a2a44f85a67fad7104268210580a0767ba9a8abe081
2018-04
0
nan
train
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-1
85b4fd39e6aa45178ed341cd32eddac0ef45a0e26fab8aec502f15fec554a543
2018-04
-1
vtflooder
train
[ 0.04225294664502144, 0.0032529826276004314, 0.0033286127727478743, 0.0011446252465248108, 0.002759838243946433, 0.0007262267172336578, 0.0018261815421283245, 0.001535602379590273, 0.004580270033329725, 0.0007399374153465033, 0.0009049085201695561, 0.0013228647876530886, 0.0016107902629300952...
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1
bcecbc441fbb4598ac38fb9fed5d3ced654e27ee3213a086c95949bbc4673f64
2018-04
1
fareit
train
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0
78d590e8ac59c70c37e4025f1ea6fb92eafea243d640a9f3399a49ba5f133390
2018-04
0
nan
train
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1
3334c85719165b75853106ba9c23ccf865aec745fddbd708ec6e95b3dd8fffc4
2018-04
1
gandcrab
train
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0.17706193 0.0125348065 0.007419467 0.008464775 0.010982412 0.0040122056 0.0039588283 0.003803144 0.013468912 0.00227299 0.002562118 0.0026199436 0.00769525 0.0022596458 0.0016635974 0.016631527 0.008767247 0.001645805 0.001903796 0.0013611251 0.0041189604 0.0036874928 0.0011431673 0.0007873175 0.0029535526 0.001410054...
0
da491cb657c9e76f3baf0b61bc3d77300ccfb345290d1ba1c4cd781e978cae44
2018-04
0
nan
train
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1
bf5e0d1b161375c0d143bd711de50e4506d234e3452eb9e37ce6a617440cc84a
2018-04
1
filetour
train
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0.16934256 0.012264672 0.00726276 0.008274191 0.010649781 0.0040457267 0.0039182357 0.0037439973 0.013106115 0.0023288429 0.0025965748 0.0026603204 0.007526242 0.0023033444 0.0017381327 0.016102163 0.0085249245 0.0016913859 0.0020186137 0.0015426459 0.0040967236 0.0036505037 0.0013004122 0.00095618545 0.0030130467 0.00...
0
3d294e563ce38da5be2ea10b1ee22978f660d29a6cfd93e0a7c9c3f0e4e72a09
2018-04
0
nan
train
[ 0.21868684887886047, 0.01878189481794834, 0.009699198417365551, 0.011371031403541565, 0.008290663361549377, 0.012631862424314022, 0.006805065553635359, 0.00300972699187696, 0.0072396136820316315, 0.0023204439785331488, 0.003694728948175907, 0.002838476561009884, 0.0027699763886630535, 0.00...
0.21868685 0.018781895 0.009699198 0.011371031 0.008290663 0.012631862 0.0068050656 0.003009727 0.0072396137 0.002320444 0.003694729 0.0028384766 0.0027699764 0.003281587 0.0016846765 0.011702829 0.006165017 0.0027763983 0.0013657225 0.0017488954 0.002324725 0.0045509813 0.0014941604 0.001397832 0.0033864782 0.00186663...
-1
629ce9664b1aa158f288a5d3654610543a71d9a2fcc8e5b1770572263081fa1a
2018-04
-1
nan
train
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1
7d5da40f630a5dadcceec13cf8e616ae8012d28d9b07f49213dea6d206a7ef0c
2018-04
1
byfh
train
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0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
73bd94feb551f6f89fc95cee9a8ef595476d330d954844c21746317ec4e8f4b0
2018-04
1
vtflooder
train
[ 0.23733985424041748, 0.008971030823886395, 0.007898948155343533, 0.0057126665487885475, 0.009300312958657742, 0.004016479477286339, 0.003388545475900173, 0.002649574540555477, 0.010131176561117172, 0.0021250201389193535, 0.0020139829721301794, 0.0022437148727476597, 0.007906606420874596, 0...
0.23733985 0.008971031 0.007898948 0.0057126665 0.009300313 0.0040164795 0.0033885455 0.0026495745 0.010131177 0.0021250201 0.002013983 0.0022437149 0.007906606 0.0023356078 0.0016349254 0.011218575 0.007316961 0.0016119522 0.0013286162 0.0012673544 0.003909271 0.0020561006 0.0019259191 0.0010950554 0.0029826858 0.0013...
1
8b870dc849462cb418f0026e37722febf890d56b7deadee0e8b825f31b29b092
2018-04
1
winactivator
train
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0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0038862752 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
-1
cb3698c5d33a870ae3f2ec2936ef90314bf1f46a70adb284641d6a43d034be5a
2018-04
-1
vtflooder
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
2f9c36c551c871899b1f4f73551981c6ee30cc2b15680356013f5183bdddb968
2018-04
1
vtflooder
train
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1
46689101347e306b3d018b552edc93c342d39fe3ab41701777c48a61b3b07630
2018-04
1
linkury
train
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0
bd6e52d3f561d476d0fd7f90a2f3c9e28ae57053f723a3a8d83b3df1be45767f
2018-04
0
nan
train
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1
e665d76b77dda0b61326542c1f18a6162f93291165d15ef4f5178e4c20207229
2018-04
1
vtflooder
train
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1
59e3ef731c393c37d6a1599b4c7b97b77d243855863a4fa6619202b5cd6c35e7
2018-04
1
vtflooder
train
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-1
45bbea653c4772ff77c6a7ed7b8092c2eee864cad6b744523f2cd1c13233b7e8
2018-04
-1
wdfload
train
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-1
74aa124aebc30e93fe5e3a30c38beeb01c3774862f45422e81b0130017692c4f
2018-04
-1
high
train
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1
aa785f3b03cc5c97e73a664ad9ed9817fda0458c10071aefabaa9ee055f5be11
2018-04
1
adposhel
train
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1
4a6b3e0e990b2aba70c00b413bb1cbccbf57e271fe93e8955f4ce966e23c7ed9
2018-04
1
linkury
train