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0
0ee398e27b214f37276649f21bcfce0499468ca867a94b02d0b368a095d99449
2018-04
0
nan
train
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1
3f4bd842e662bb32f80eec0747491feefd2303fbfbd8e3cfff36faf3ef241bdf
2018-04
1
vtflooder
train
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0
3950c526fe5e04fa164f3f92a12f1068c59a0f36733481b0cc56df700229deba
2018-04
0
nan
train
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1
10dbe028ca74514bdb4f6fa3c8368e81fbfab813118e1a9eb31466085f0fca88
2018-04
1
tiggre
train
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b1ee77fd9343716d2c7bab5e5c71ffe8fa43643100dd3d850b8f20a6ec9ce2a7
2018-04
-1
tiggre
train
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0
6246b70ca876cb6b385242d3039cb699ed0305d540080d9f02a0af6b0ae48bb1
2018-04
0
nan
train
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-1
f8447186ea0036bf6b99b5a0a4d0609f349e76828009c3dfbbd835b13fa84397
2018-04
-1
nan
train
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0
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2018-04
0
nan
train
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1
11bec7e0e5d0df197b6ad73f1606bc3fb8ec22c541117357b02911a68965e5c2
2018-04
1
high
train
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0
3190804ed82c89d17bb7afe2956f4596b39bbc087ca79149554eb3f812871bfe
2018-04
0
nan
train
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0
880b15e5ca5894d92f47bab6648406ac2dc94231c0d090fbca99be5a56fd1fa9
2018-04
0
nan
train
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0
80b8eb2a84eca963332199950cded27c5b49207b9960816e249950e213904a2a
2018-04
0
nan
train
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1
0a998c86c73095cd784108010d74853eefe469fb9662ea899c61bcd4d12adf4d
2018-04
1
donex
train
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-1
1e663f5af5bc7f52d30ef138679ca3fe2dca85e8f5348f48f5be7cb240bd4352
2018-04
-1
nan
train
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0
1e0b31daad21cad53fae0f902f49a68cfe0ddd2a54604030b0ebe5b96241b5b6
2018-04
0
nan
train
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0
cc2e0bab89bbe1671c82464910c59f4e26de3effca69a5e6be5a4b8dfd9a4949
2018-04
0
nan
train
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1
7cda95861c90b97eeaff6d20403788029457238ecbbf6397250973e9026342c6
2018-04
1
byfh
train
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-1
27959ac26c1a6d96a953eba552e4b53ef3a54e097b3d91a8147a4ed6c1e25480
2018-04
-1
zusy
train
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0
4b573575e494f039ded2eddac76f60db1a99edfd900ba2da01a20a037cba7fb8
2018-04
0
nan
train
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1
0876ee659e24903b335629f0dc3c91172af1de4a3485ea9b17e1339642f12525
2018-04
1
bladabindi
train
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1
870fdc24c7d775f6abf10522b791fc267090becb7756f124578d25de37f772f9
2018-04
1
linkury
train
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1
46848305a88918062406e97e2b711789394234dd3647b9468621ffee0b3c361c
2018-04
1
dotdo
train
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0
87d56a89cfbee1960f47b1227445ef4db67280dde9b1241fdbd6901b33b1fdff
2018-04
0
nan
train
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1
617088fc5506bcb759c94ab349e9b559066d57523d22400e27f911d62a5f757f
2018-04
1
vtflooder
train
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0
9f4c465a5667c445aed31c4ef0c2ab3d8ad740af0a796566c3b3710abc9e857d
2018-04
0
nan
train
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-1
5d4d68879862ecdcf15d943ac4e58a3a592e79099771d6b0a577ab8f7a530488
2018-04
-1
nan
train
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-1
a40f01102ba24954a06457402fcbe7097a62027a0ae178f4544c56781df741ae
2018-04
-1
nan
train
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0
863d68bd7e24dce8b63634efae37a927ad3d5a96e6b568bb9816a2e5083c3d95
2018-04
0
nan
train
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-1
7f542b7119fe962889ed9fbe0dd504e7ff2612dba87617b550aeb59b22ca38c7
2018-04
-1
adposhel
train
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0.06443733 0.005265968 0.004214392 0.003081926 0.0039919433 0.0036400699 0.003267974 0.0021719083 0.0039838543 0.0030940594 0.003284152 0.0032962854 0.0022325763 0.0030333917 0.0021557303 0.0019615933 0.004926228 0.002301333 0.0026612955 0.0028716107 0.0023458228 0.0023498673 0.0037007376 0.0023458228 0.0021435968 0.00...
-1
9574c0f7ffcbc231259a8d1b76c0ac2005617a22bcb80b1017a4d6f8bdfade4d
2018-04
-1
nan
train
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0
c5b71999afb6eff0f2c812912a18a133e293b7c2f9f4c535384cf57c342508e2
2018-04
0
nan
train
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1
6be1cb32c34c6aa8a4dd41b80d27b2ef0202887f0908b2c48c05d18ed92b2bcd
2018-04
1
winactivator
train
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0.20814165 0.0028162976 0.0022339849 0.0024173718 0.0028555947 0.0026186209 0.0018612571 0.0023447315 0.0022304123 0.0022959078 0.0027484207 0.0020541705 0.0031151944 0.002322106 0.002072033 0.0026138576 0.0034105186 0.0022244584 0.0025471714 0.0018100517 0.0025876595 0.0044298633 0.0020541705 0.0019338974 0.0020756053...
1
a81a504ca5ea2429fe8ab493d2ea83af794302f0ba7dc07ee2116e0abac14e93
2018-04
1
virut
train
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0.14542505 0.008938029 0.0082925055 0.010692532 0.009997352 0.00460143 0.003343485 0.002499338 0.010709084 0.001588983 0.0021848518 0.0030289988 0.00668697 0.0011255296 0.0012910487 0.012579449 0.0112387445 0.0019200211 0.0008110434 0.0017876059 0.00668697 0.0022179554 0.0007613877 0.00084414723 0.0057104076 0.00056276...
-1
88da771b60160ea77118c2d15fe6494abb1dc305e7c2eb2f4624053942950375
2018-04
-1
nan
train
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0.22287919 0.015338515 0.008904892 0.008475793 0.007118173 0.007690784 0.0071468754 0.0035791781 0.01142352 0.007152616 0.003462934 0.002385162 0.002136887 0.002893193 0.0014839094 0.010421809 0.007877349 0.0019790244 0.0011567031 0.0011581383 0.0018455586 0.0042264154 0.0010720313 0.000994535 0.0043139574 0.0022918796...
0
c0b79dd269b27a4a1544de43117b4c2e73553ab7eecf12ae65da06b5ce7df273
2018-04
0
nan
train
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0.30318686 0.006978764 0.00404349 0.004148321 0.02939767 0.002830443 0.0020966243 0.0019318897 0.006574415 0.0015425165 0.0015574924 0.0014077335 0.004073442 0.0017671549 0.0011531435 0.005526103 0.0037439722 0.0016323719 0.0010483122 0.0010333363 0.0023512146 0.0051816576 0.00049420435 0.00050918024 0.001886962 0.0006...
0
517b6e6311bb339b3f5bd49909cfeece06360c87526abf40efe0370e5b2c466e
2018-04
0
nan
train
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0.30169547 0.02534907 0.014586104 0.011344748 0.02173371 0.010139627 0.016580785 0.008103391 0.008602061 0.009100731 0.033701796 0.004778923 0.00610871 0.007064495 0.010347407 0.0068151597 0.005859375 0.014586104 0.009682513 0.00831117 0.005028258 0.0017037899 0.010970744 0.006690492 0.0029504655 0.0019115692 0.0014544...
1
ced040ef7278e4f39af08d290354b9f0df155ed9a7ec4054ff041515be7d0e7b
2018-04
1
bladabindi
train
[ 0.598388671875, 0.015869140625, 0.005126953125, 0.001953125, 0.003662109375, 0.001953125, 0.00390625, 0.000732421875, 0.00341796875, 0.001220703125, 0.005126953125, 0.001220703125, 0.001708984375, 0.00341796875, 0.001708984375, 0, 0.00244140625, 0.001220703125, 0.00146484375, 0...
0.5983887 0.01586914 0.005126953 0.001953125 0.0036621094 0.001953125 0.00390625 0.0007324219 0.0034179688 0.0012207031 0.005126953 0.0012207031 0.0017089844 0.0034179688 0.0017089844 0.0 0.0024414062 0.0012207031 0.0014648438 0.00048828125 0.00048828125 0.0012207031 0.0009765625 0.00024414062 0.00024414062 0.001220703...
0
8baa3231664dbb6acce2c63bf0815d0359033337eed01d6acf9d12ba560d52d9
2018-04
0
nan
train
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0.13407649 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
d1776e7de00268dac3680b4ad840c5645fc5bd51f4158a67f55bd06d02937ff7
2018-04
1
vtflooder
train
[ 0.32963839173316956, 0.012878173030912876, 0.005854877643287182, 0.006400246173143387, 0.011688017286360264, 0.0035743045154958963, 0.004709476139396429, 0.0044000293128192425, 0.004349520429968834, 0.004167624283581972, 0.004653852432966232, 0.0023333197459578514, 0.0034512290731072426, 0...
0.3296384 0.012878173 0.0058548776 0.006400246 0.011688017 0.0035743045 0.004709476 0.0044000293 0.0043495204 0.0041676243 0.0046538524 0.0023333197 0.003451229 0.0038044718 0.0019519456 0.0025430277 0.00330194 0.0020273894 0.0018403784 0.0015728091 0.0019311666 0.0016802205 0.0014177659 0.001198148 0.0014558075 0.0010...
1
e80918522ada763ac2cf7fed4524a006f6613aba502367808ebe5011adfc2a11
2018-04
1
sivis
train
[ 0.1466478556394577, 0.013291309587657452, 0.006887473631650209, 0.005800518207252026, 0.010039822198450565, 0.003638814203441143, 0.0027181324549019337, 0.00281131686642766, 0.009704298339784145, 0.00201448448933661, 0.0025141979567706585, 0.0024320287629961967, 0.007364560849964619, 0.002...
0.14664786 0.01329131 0.0068874736 0.005800518 0.010039822 0.0036388142 0.0027181325 0.0028113169 0.009704298 0.0020144845 0.002514198 0.0024320288 0.007364561 0.0027891372 0.0016832772 0.017346924 0.006938829 0.0016356428 0.0013319742 0.0013272107 0.004391287 0.0019279984 0.0010780238 0.0009138343 0.0038086602 0.00079...
0
aa26c95b69600b301bb9867da772d447845f8a45b8f93929a1911f2aa6e89b4c
2018-04
0
nan
train
[ 0.3389122486114502, 0.022475961595773697, 0.014362980611622334, 0.007602163590490818, 0.012199519202113152, 0.011899038217961788, 0.018149038776755333, 0.009284855797886848, 0.008563701994717121, 0.005228365305811167, 0.021033653989434242, 0.004837740212678909, 0.0045973556116223335, 0.005...
0.33891225 0.022475962 0.014362981 0.0076021636 0.012199519 0.011899038 0.018149039 0.009284856 0.008563702 0.0052283653 0.021033654 0.00483774 0.0045973556 0.00546875 0.008443509 0.0017427885 0.004266827 0.013611779 0.0068509616 0.008022836 0.0019831732 0.0034555288 0.004747596 0.0032451923 0.00234375 0.0012019231 0.0...
1
d54efb5c00eea08ec3d75890902ae4634aeee0fa4d8202087e9de69ca5e472fd
2018-04
1
linkury
train
[ 0.18519936501979828, 0.009873357601463795, 0.019344696775078773, 0.006517745088785887, 0.0114663727581501, 0.0031172821763902903, 0.002790887374430895, 0.003263946855440736, 0.011691280640661716, 0.002146609826013446, 0.0024481238797307014, 0.001759650418534875, 0.004443813115358353, 0.001...
0.18519937 0.009873358 0.019344697 0.006517745 0.011466373 0.0031172822 0.0027908874 0.0032639469 0.011691281 0.0021466098 0.0024481239 0.0017596504 0.004443813 0.0017223294 0.0014938205 0.0049430626 0.008994351 0.0015979263 0.0023937793 0.001177247 0.00293657 0.0017468827 0.001084272 0.0010053742 0.0024854448 0.000835...
1
55fe312cf3f5b85fa4d22eb7a741309fd7210883b7b3fbd05dd37b9531db1240
2018-04
1
dlhelper
train
[ 0.12617114186286926, 0.012580490671098232, 0.006379219237715006, 0.006913062185049057, 0.011398999951779842, 0.010314760729670525, 0.012510138563811779, 0.0034948105458170176, 0.012934316881000996, 0.0025781728327274323, 0.0026071411557495594, 0.0030582179315388203, 0.007140669971704483, 0...
0.12617114 0.012580491 0.0063792192 0.006913062 0.011399 0.010314761 0.012510139 0.0034948105 0.012934317 0.0025781728 0.0026071412 0.003058218 0.00714067 0.0027706048 0.0017774081 0.009832647 0.023890516 0.0038134612 0.0016656735 0.0022388308 0.004140388 0.0028099187 0.0017256791 0.001218735 0.0031513302 0.0012249425 ...
0
322e3e321a2d183cdbaf3285354147ab6b77c53d8c870f68a8db33a1130167f7
2018-04
0
nan
train
[ 0.18549524247646332, 0.010942663997411728, 0.016797373071312904, 0.007566765416413546, 0.0098586305975914, 0.0034928556997328997, 0.0029012258164584637, 0.0033849189057946205, 0.010617298074066639, 0.0020747482776641846, 0.002078169723972678, 0.0017350742127746344, 0.0045961737632751465, 0...
0.18549524 0.010942664 0.016797373 0.0075667654 0.009858631 0.0034928557 0.0029012258 0.003384919 0.010617298 0.0020747483 0.0020781697 0.0017350742 0.0045961738 0.0015443965 0.0013630504 0.0068208515 0.008738516 0.0013736264 0.001815949 0.0009866719 0.0029715246 0.0016933926 0.0011051844 0.0008432747 0.0026256295 0.00...
0
cb0f0d409e05be6a9d2fb2fb1b6625724a4fb6fadd118ad5e6e63b8ab1d980ca
2018-04
0
nan
train
[ 0.0390009842813015, 0.009694881737232208, 0.016222581267356873, 0.00376476370729506, 0.012197693809866905, 0.003451912198215723, 0.004179555457085371, 0.003237485885620117, 0.00812710914760828, 0.0039756749756634235, 0.003265607403591275, 0.0031250000465661287, 0.005736782681196928, 0.0028...
0.039000984 0.009694882 0.016222581 0.0037647637 0.012197694 0.0034519122 0.0041795555 0.003237486 0.008127109 0.003975675 0.0032656074 0.003125 0.0057367827 0.002857846 0.003008999 0.005961755 0.006074241 0.0029000281 0.0024852362 0.002710208 0.005666479 0.011424353 0.0026399044 0.0024289933 0.0046154386 0.0025309336 ...
0
af38051ff5788dc3ef9dbe4d238553abb26d73fba6cc8b62addeff1cae98717a
2018-04
0
nan
train
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0.008425219 0.0039938283 0.0038751431 0.0038343898 0.003975239 0.0038987373 0.00382724 0.0037957814 0.0040674703 0.0038079359 0.0049676187 0.0039394908 0.0038458293 0.0038637037 0.0038994523 0.004030292 0.004027432 0.003852979 0.003857984 0.0038286701 0.0038758582 0.003883723 0.0039251912 0.0039201863 0.0038722833 0.00...
1
19319c7491dbb5f05878fe3c8eb9e7ad2362d57531fcc208757b36d3fa369983
2018-04
1
high
train
[ 0.17220379412174225, 0.021369947120547295, 0.015378067269921303, 0.005058718379586935, 0.00519514549523592, 0.006237448658794165, 0.0033888500183820724, 0.002750371117144823, 0.007765432819724083, 0.0016589539591223001, 0.0026466865092515945, 0.0015934689436107874, 0.0024393172934651375, 0...
0.1722038 0.021369947 0.015378067 0.0050587184 0.0051951455 0.0062374487 0.00338885 0.0027503711 0.007765433 0.001658954 0.0026466865 0.001593469 0.0024393173 0.0034161354 0.0018062952 0.008884135 0.00664673 0.0017462673 0.0015170698 0.0015279839 0.002046407 0.005347944 0.0011023312 0.0011951018 0.0037490178 0.00158801...
-1
4810a9928c50aa30dfbb6f27f4def8354f479f87daf0cc90586ec9f66b911068
2018-04
-1
nan
train
[ 0.19160327315330505, 0.015695441514253616, 0.006249009631574154, 0.006302391644567251, 0.006888493895530701, 0.007549441885203123, 0.0058026909828186035, 0.006325505208224058, 0.006612778175622225, 0.003373529529199004, 0.003669057274237275, 0.003091759979724884, 0.003215034259483218, 0.00...
0.19160327 0.015695442 0.0062490096 0.0063023916 0.006888494 0.007549442 0.005802691 0.006325505 0.006612778 0.0033735295 0.0036690573 0.00309176 0.0032150343 0.00492051 0.0030857064 0.012950391 0.007667763 0.0023102898 0.002031272 0.0017775694 0.005304641 0.011728656 0.0011188231 0.0012002721 0.0035111122 0.0018606693...
-1
09d418df97fcb04a968665a54d4726aaab2f0f40466c79b7c5504f7d6e1f560d
2018-04
-1
nan
train
[ 0.004179362207651138, 0.003921618219465017, 0.003917297814041376, 0.0039030632469803095, 0.003916838672012091, 0.003931782674044371, 0.0039246235974133015, 0.003919614478945732, 0.003915001638233662, 0.003908510785549879, 0.0039031675551086664, 0.0038933369796723127, 0.003906548954546452, ...
0.004179362 0.003921618 0.003917298 0.0039030632 0.0039168387 0.0039317827 0.0039246236 0.0039196145 0.0039150016 0.003908511 0.0039031676 0.003893337 0.003906549 0.0039071958 0.0039119753 0.003902938 0.0039111194 0.0039004334 0.00390778 0.0038971566 0.0039066947 0.0038920639 0.0039019778 0.0039090533 0.003906194 0.003...
0
54ec5b13831a650f6fcda7a0103268cb16727ddb573395ee119415514fb9ccb0
2018-04
0
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 0.0067498465 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
42041b3fb4d242582aec2476e45e426ca8891fbd0be02b1f97fd7d444e61137e
2018-04
1
vtflooder
train
[ 0.2743171453475952, 0.005919012241065502, 0.003354604123160243, 0.005799737758934498, 0.005188454408198595, 0.0022811307571828365, 0.001550572575069964, 0.0034589695278555155, 0.003980796784162521, 0.0016847567167133093, 0.002296040067449212, 0.0017443940741941333, 0.002012762473896146, 0....
0.27431715 0.0059190122 0.0033546041 0.0057997378 0.0051884544 0.0022811308 0.0015505726 0.0034589695 0.003980797 0.0016847567 0.00229604 0.0017443941 0.0020127625 0.0025942272 0.0024004055 0.0036080629 0.0037124285 0.0016251192 0.001953125 0.001401479 0.0016251192 0.004278984 0.0011629293 0.0012076574 0.0017443941 0.0...
1
c6def2a501ae870e5e96d889ec0727c013f43461fac84e3a10746613ac4d1653
2018-04
1
delphi
train
[ 0.198017418384552, 0.0117342509329319, 0.006549169309437275, 0.006060888059437275, 0.010439918376505375, 0.0038054934702813625, 0.0031312003266066313, 0.002704923041164875, 0.0113234743475914, 0.00194537453353405, 0.0019221230177208781, 0.0019996280316263437, 0.0069599454291164875, 0.00227...
0.19801742 0.011734251 0.0065491693 0.006060888 0.010439918 0.0038054935 0.0031312003 0.002704923 0.011323474 0.0019453745 0.001922123 0.001999628 0.0069599454 0.0022786458 0.0014958457 0.015671503 0.008641803 0.002123636 0.0012245784 0.0011005704 0.002983941 0.002766927 0.0014183407 0.00086805556 0.002797929 0.0011160...
-1
853921bf59b6664cc548f2fc99ad74f0ce8c998b8ebeb9e045475ad4b3f23337
2018-04
-1
genkryptik
train
[ 0.17602254450321198, 0.016515156254172325, 0.007973901927471161, 0.007737505249679089, 0.012406745925545692, 0.004817599430680275, 0.009089041501283646, 0.003956790082156658, 0.016190720722079277, 0.0033568316139280796, 0.002699812175706029, 0.0024438516702502966, 0.008190734311938286, 0.0...
0.17602254 0.016515156 0.007973902 0.0077375052 0.012406746 0.0048175994 0.0090890415 0.00395679 0.01619072 0.0033568316 0.0026998122 0.0024438517 0.008190734 0.0027601342 0.0018226993 0.015889112 0.02308372 0.0023916815 0.0015129382 0.0015292414 0.003692678 0.00218137 0.0012211107 0.0009961263 0.003444869 0.0012504564...
0
382cf18ee888c4a13ad8e61f0d01a49215361be42c4828175172568aecc0df60
2018-04
0
nan
train
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0.18077277 0.012744554 0.007492253 0.0085645225 0.011117977 0.004070988 0.0039619436 0.0037847466 0.013666888 0.0021990605 0.002548911 0.0026216072 0.0077694077 0.0021899734 0.0015947731 0.016897326 0.008828046 0.0016311213 0.0018991885 0.0013267059 0.004080075 0.0036802457 0.0010722692 0.0007178751 0.002912392 0.00133...
-1
11c8a8371966675b655cd780bd35916ea237a428d541ee15b1e3d269ca29f622
2018-04
-1
nan
train
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0.36491895 0.02495412 0.009244154 0.008199089 0.0027103724 0.0057818447 0.0028378195 0.0027103724 0.0049704323 0.0016483143 0.0018479812 0.001079051 0.0010832994 0.0017077896 0.0012022499 0.0025829256 0.0029270323 0.0010365688 0.00062873843 0.00090062537 0.0008878806 0.008369018 0.0006244902 0.00049704325 0.0021283645 ...
0
d36a4ad30e7e9567e212d98f63da855d8ad454d818b537e502d2dc4efbc2ddc2
2018-04
0
nan
train
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0.059848793 0.007378219 0.00484355 0.0054990677 0.005885095 0.0033140078 0.003233889 0.004697879 0.0037218856 0.0037073186 0.0032120382 0.0038966904 0.0035033796 0.00315377 0.0028551451 0.009169969 0.003372276 0.003015383 0.0029134133 0.0035179467 0.0040350775 0.0033358582 0.0027021908 0.003481529 0.003124636 0.0034669...
1
29674e648efd6b7ee4741ffb0206769a4a2dd51522f715a3beec89284034e83e
2018-04
1
byfh
train
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0.55311567 0.0067143175 0.0034530293 0.0037951225 0.006580859 0.0027511048 0.0025078387 0.0022763978 0.0073115025 0.0013185369 0.00129742 0.0010220561 0.004453124 0.0010296582 0.00081342156 0.0046212142 0.0038111713 0.0007872366 0.0006723609 0.00055748515 0.0021218224 0.0017003297 0.0007433136 0.0005253875 0.0018878476...
0
3b8fbdb3d42048fba9540db86c0d0b6942e97d2721bd4819de397852ce861874
2018-04
0
nan
train
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0.27569655 0.006871235 0.0050828313 0.006024096 0.004988705 0.0077183736 0.0027296687 0.0035768072 0.0064006024 0.0017884036 0.0018825302 0.0047063255 0.0041415663 0.0036709337 0.0024472892 0.013648343 0.005553464 0.0017884036 0.0016942772 0.0008471386 0.001506024 0.0027296687 0.001506024 0.0014118976 0.00404744 0.0008...
-1
320731abf573793e365a45cf1535f5fa971f935f99d3bca09210c43e0bb4f80c
2018-04
-1
nan
train
[ 0.11065289378166199, 0.0071401880122721195, 0.003376574954017997, 0.0034699977841228247, 0.008648302406072617, 0.0032297673169523478, 0.0030028827022761106, 0.0031897288281470537, 0.004350843373686075, 0.0038036515470594168, 0.0032831518910825253, 0.004003843758255243, 0.004524343181401491, ...
0.110652894 0.007140188 0.003376575 0.0034699978 0.008648302 0.0032297673 0.0030028827 0.0031897288 0.0043508434 0.0038036515 0.003283152 0.0040038438 0.004524343 0.0030829597 0.0030696136 0.0099028405 0.0035901133 0.0022421526 0.0026825753 0.002829383 0.0034699978 0.0023222293 0.0026825753 0.0028160368 0.0026291907 0....
-1
8d52de2c4695b97d9a10fa4bf1e4a5bc244fa2c6ce157571003378eccb36f242
2018-04
-1
vtflooder
train
[ 0.3851562440395355, 0.012890624813735485, 0.0029296875, 0.001953125, 0.00917968712747097, 0.1767578125, 0.0013671874767169356, 0.0007812500116415322, 0.0009765625, 0.0005859375232830644, 0.0015625000232830644, 0.0007812500116415322, 0.0003906250058207661, 0.0027343749534338713, 0.0011718...
0.38515624 0.012890625 0.0029296875 0.001953125 0.009179687 0.17675781 0.0013671875 0.00078125 0.0009765625 0.0005859375 0.0015625 0.00078125 0.000390625 0.002734375 0.001171875 0.0017578125 0.003125 0.0001953125 0.001171875 0.0001953125 0.0015625 0.0001953125 0.0005859375 0.0001953125 0.00078125 0.000390625 0.0 0.0 0....
0
c39042816c866eaae3c78a9d7c00498b534ec6eb8420b49a79107716ec2c48b3
2018-04
0
nan
train
[ 0.3694603145122528, 0.02260543219745159, 0.009381701238453388, 0.005986419040709734, 0.005182273220270872, 0.003663331037387252, 0.003395282430574298, 0.0029485346749424934, 0.0032165832817554474, 0.0013402430340647697, 0.0016082916408777237, 0.0032165832817554474, 0.0024124374613165855, 0...
0.3694603 0.022605432 0.009381701 0.005986419 0.005182273 0.003663331 0.0033952824 0.0029485347 0.0032165833 0.001340243 0.0016082916 0.0032165833 0.0024124375 0.0020550394 0.002323088 0.0025911366 0.0074160113 0.0014295926 0.001161544 0.00089349534 0.0021443889 0.0050929235 0.0027698355 0.0020550394 0.0017869907 0.000...
1
113ba82ad4eaf8dfb71448907baf2d6859620ec1b75cd7d7eeebc1afe128592c
2018-04
1
hematite
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
e1a37790c958d84f9a5129a69f0ae4e413d0e7103fa987b0ded578d70c7b3399
2018-04
1
vtflooder
train
[ 0.18185138702392578, 0.013362747617065907, 0.006875749211758375, 0.00487110298126936, 0.013173054903745651, 0.005482332780957222, 0.002714234869927168, 0.0021849707700312138, 0.009960000403225422, 0.0018266636179760098, 0.002498782239854336, 0.0013606302672997117, 0.006770364940166473, 0.0...
0.18185139 0.013362748 0.006875749 0.004871103 0.013173055 0.005482333 0.0027142349 0.0021849708 0.00996 0.0018266636 0.0024987822 0.0013606303 0.006770365 0.0020140137 0.0012739808 0.0093557965 0.007960038 0.0011639126 0.0013091089 0.0010070069 0.0048804707 0.005252829 0.00081965677 0.00065338355 0.004152147 0.0007564...
-1
405541c07794034b1dd04b1b0bad7e7635ff547606278da76f0b8f56563bacc8
2018-04
-1
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
387f5e5f9ed8bd6eeabaa785cca3bb283e1398ea399ca08f4f9aa4a4c392dcc5
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 0.0034771936 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
aa6040d055d31dc39385f49dbc2ef5d43814765733641729a3308e5dbed1f066
2018-04
1
vtflooder
train
[ 0.20401091873645782, 0.015944384038448334, 0.007672282867133617, 0.009105613455176353, 0.0069938586093485355, 0.008983100764453411, 0.00544368103146553, 0.004285827744752169, 0.010426345281302929, 0.0032788137905299664, 0.0036222750786691904, 0.0033800818491727114, 0.003950156271457672, 0....
0.20401092 0.015944384 0.007672283 0.009105613 0.0069938586 0.008983101 0.005443681 0.0042858277 0.010426345 0.0032788138 0.003622275 0.0033800818 0.0039501563 0.006376337 0.0055562793 0.009468903 0.008259353 0.0036293566 0.0027037822 0.0022682594 0.0024665461 0.005876371 0.00070320995 0.0009057458 0.0037993167 0.00349...
0
61cc28f30af83d09e67814ae120a33ce3fe80aee59425328346d512dcda5f68b
2018-04
0
nan
train
[ 0.041921988129615784, 0.004732920788228512, 0.003956065513193607, 0.004389361012727022, 0.004840603563934565, 0.0037894132547080517, 0.0036945496685802937, 0.0038765850476920605, 0.004194505978375673, 0.0035561001859605312, 0.003822743659839034, 0.0034740560222417116, 0.0038253075908869505, ...
0.041921988 0.004732921 0.0039560655 0.004389361 0.0048406036 0.0037894133 0.0036945497 0.003876585 0.004194506 0.0035561002 0.0038227437 0.003474056 0.0038253076 0.0037689023 0.0035355892 0.0038458186 0.0039817044 0.003243307 0.003412523 0.0034920033 0.003458673 0.0036099418 0.0032458708 0.0032792012 0.0034407256 0.00...
1
b1d263e463d6405d3cf7dd18b2e299b27a506f2d9c2862733dcbbfa6fa186b4c
2018-04
1
filetour
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 0.008795255 0.011454285 0.0049089794 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
3745cf54c7c3a49b47ea57e55d24ba600321255f7f7868c6bcbf7ee37dc5068d
2018-04
1
vtflooder
train
[ 0.10858539491891861, 0.004997332580387592, 0.004411841742694378, 0.00461764307692647, 0.0056090084835886955, 0.004414296709001064, 0.0037850271910429, 0.00367619376629591, 0.004111118149012327, 0.00354322069324553, 0.0036721022333949804, 0.0034634368494153023, 0.004152441862970591, 0.00378...
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-1
c63d2e52e9e6aaa815ef6e62eab22fffff467e9dc9840df5157d6b7545ea8c5c
2018-04
-1
nan
train
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0.98850983 0.00013789379 8.1284765e-05 7.983325e-05 0.00016837558 5.5157518e-05 5.8060545e-05 6.822114e-05 0.00020611494 4.4996923e-05 4.6448436e-05 3.19333e-05 0.00014515137 2.4675732e-05 3.7739355e-05 8.9993846e-05 0.00014369986 1.596665e-05 1.8869678e-05 1.4515136e-05 4.9351464e-05 0.00011321806 2.4675732e-05 3.4836...
-1
ce6817d8a603cce6cb3a39b6aafaf0c4f63a4ef6a2074268a9c3314505d101e5
2018-04
-1
nan
train
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0
2ce07089a990877f3113e5b92d56b2847d6aa67fafa0f26f142295cb55b7bccc
2018-04
0
nan
train
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1
fc5c794a4e30cb772c06372f21b07f86a38ac3737d9e35b47320189bd2f3f788
2018-04
1
zusy
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 0.0067498465 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
1e842cb80b6ea6f36459c11991c1779ada0c5ebabdf89acc2a57737f3e8f0b88
2018-04
-1
vtflooder
train
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0.042556744 0.0048642694 0.0040340275 0.0045152185 0.0050637266 0.003951751 0.003847036 0.0040564663 0.0042634034 0.0036849768 0.0038221038 0.0035204245 0.00398167 0.0038993936 0.0035004788 0.0038395564 0.004016575 0.0033708313 0.003537877 0.0036002074 0.0035204245 0.0035877414 0.0032735958 0.0032661161 0.0035279042 0....
-1
3bc11a4458afa986e4415065d302e462811a49fa578152ce844e12a522b34a4f
2018-04
-1
filetour
train
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0
bce9713647183ad72159088182e6056a0e95d97068d79cb3318831edd64d5d13
2018-04
0
nan
train
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1
7223ace56cf29e06c7fc56f51b14c5b52eabb3e66f8c07170ebc4d41aa763593
2018-04
1
extenbro
train
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1
f9ebbbe815fe380b5dc14fb3806534d9fec11b2bf23f11dcc51a5f707de1bbb4
2018-04
1
tiggre
train
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0.015112998 0.0020301042 0.0017302432 0.0012746333 0.0011752764 0.0007706877 0.0008512474 0.0007080302 0.001105458 0.0006758063 0.0006865476 0.00064805796 0.0009613457 0.0008217089 0.0006310509 0.0011197798 0.0017302432 0.0006140439 0.0008852615 0.00068028184 0.00075815624 0.00070265954 0.0006283656 0.00062299496 0.000...
1
b4f9e00425979558448bf46193851bd9000e308474ed825419c0c1f09962149f
2018-04
1
adposhel
train
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1
209f8ddc537c0163982190da9601add36f9a3955613a3c5c7ef4243b8cb2d3a7
2018-04
1
filetour
train
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-1
a7e7eab6a481cd837196abee7eb407cc59b988fed10b169116c551dcbdaf0742
2018-04
-1
vtflooder
train
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0
f0b788b8039e563748c27389d77a14e1d59e7718ea96bd17ebcb274f79c1bfeb
2018-04
0
nan
train
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1
339921fd37a8f3010798f39f40642aa3a427ff7e86fc9ec7df2fec1806c3065a
2018-04
1
zusy
train
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0.29815558 0.040688567 0.03974425 0.01029997 0.01057175 0.0022387234 0.038463663 0.008236291 0.0031784344 0.0019991894 0.043968346 0.011382481 0.005771853 0.0026164504 0.002266362 0.001391141 0.0013773217 0.0034041496 0.002814527 0.0024874706 0.0013681088 0.0014648438 0.0047860774 0.0039338884 0.0014279924 0.0024644383...
0
fcc5f4819fe2e3b87c1cad2a90c18e533a85b7aad9aec1d2ae472e0a01e8136b
2018-04
0
nan
train
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0.22998375 0.023332635 0.005570994 0.0035261116 0.00471896 0.0071308725 0.0033294882 0.0036309774 0.005924916 0.0016516359 0.0031852978 0.0016778524 0.0029755663 0.0034605705 0.0014681208 0.008861158 0.007052223 0.0017696099 0.001297714 0.0014287961 0.0025036703 0.008245071 0.0011010906 0.001297714 0.004247064 0.001704...
-1
34e2bbfeb1186b39d7fd052a49dccf9c2ad938ad1f3c773b107302b958fa7d82
2018-04
-1
nan
train
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0.20191789 0.023973528 0.011750405 0.013911399 0.0136412745 0.0068881684 0.017017828 0.0045921123 0.004862237 0.0049972986 0.0053349542 0.0044570505 0.0020259318 0.0056050783 0.0025661804 0.0026337116 0.003241491 0.002093463 0.0012155592 0.00884657 0.002160994 0.00317396 0.0017558077 0.0017558077 0.0017558077 0.0014856...
-1
00f11f4f484d2622cbbbcb08ed2522f0f4d0c970ca13fab9cc612e1544477430
2018-04
-1
nan
train
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0.18144546 0.012796542 0.007520134 0.008573592 0.011141108 0.0040815766 0.0039812475 0.0037851494 0.013722307 0.0022026834 0.0025310337 0.0026131212 0.0077755176 0.0021753209 0.001591587 0.016946524 0.0088563375 0.0016189495 0.0018697726 0.00129972 0.004104379 0.0036665786 0.001062578 0.0006977444 0.0029095486 0.001336...
-1
4f900f6d420105e1c367b186fe728564920c9673920023a52ed83434515ee2be
2018-04
-1
nan
train
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0.3044085 0.021693638 0.032435827 0.0069754464 0.01674107 0.007847377 0.028390067 0.008422852 0.0073416573 0.0037318638 0.031668525 0.007271903 0.0034877232 0.0036969867 0.0041852677 0.0020228794 0.0037318638 0.007481166 0.0047433036 0.0052141463 0.0024414062 0.0031040737 0.0045514787 0.0044817245 0.0027727399 0.003941...
-1
86c85036f7d6739aa4b0bb6cd7aee4ab5d5028dab0878aab3694b35abda4b342
2018-04
-1
nan
train
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0.10890997 0.0024181549 0.00074404763 0.0006510417 0.001860119 0.00018601191 0.00027901787 0.0 9.3005954e-05 9.3005954e-05 0.017578125 0.00037202382 9.3005954e-05 0.01767113 0.00027901787 0.0 0.0013020834 0.00018601191 0.00018601191 0.00018601191 0.0 9.3005954e-05 9.3005954e-05 0.00027901787 0.0 0.0 9.3005954e-05 9.300...
0
a87b93b16b322e4587c5fade615f08e0b282667051f70d58bfcad7b4ea4f8b78
2018-04
0
nan
train
[ 0.1306644231081009, 0.01718538999557495, 0.010384666733443737, 0.009311174042522907, 0.009239326231181622, 0.009437964297831059, 0.006547141820192337, 0.005888888146728277, 0.009978408925235271, 0.005150333978235722, 0.006112884730100632, 0.004839697387069464, 0.005457272287458181, 0.00756...
0.13066442 0.01718539 0.010384667 0.009311174 0.009239326 0.009437964 0.006547142 0.005888888 0.009978409 0.005150334 0.0061128847 0.0048396974 0.0054572723 0.0075651635 0.004270725 0.016955053 0.00884469 0.00559727 0.004072087 0.0034164744 0.0047836984 0.004968601 0.002437018 0.0027756544 0.004335177 0.00210208 0.0019...
1
6458e4b88c6d7081c8b0139aba7f0297038d92eadcd7ba20ca1c8d53c6f7f2f9
2018-04
1
gamehack
train
[ 0.18394027650356293, 0.016285035759210587, 0.011981500312685966, 0.007535025477409363, 0.008598600514233112, 0.0050690555945038795, 0.007974431850016117, 0.004759883042424917, 0.007896609604358673, 0.003670366946607828, 0.006853681057691574, 0.0030689623672515154, 0.003931893035769463, 0.0...
0.18394028 0.016285036 0.0119815 0.0075350255 0.0085986005 0.0050690556 0.007974432 0.004759883 0.00789661 0.003670367 0.006853681 0.0030689624 0.003931893 0.003012316 0.0029413758 0.005250112 0.008174018 0.0041600666 0.0041817725 0.003255313 0.0030371982 0.004029304 0.0032648423 0.0026592028 0.003440605 0.0021562676 0...
-1
71d4292da1022fa3bb58d115da101b0624415f9ba1492f28ae38ee7c36795544
2018-04
-1
nan
train
[ 0.11967092007398605, 0.013630635105073452, 0.004982348531484604, 0.0037566106766462326, 0.010672683827579021, 0.0035287400241941214, 0.006078509613871574, 0.002787485485896468, 0.01458658091723919, 0.0023743805941194296, 0.0018919616704806685, 0.0015222077490761876, 0.007992543280124664, 0...
0.11967092 0.013630635 0.0049823485 0.0037566107 0.010672684 0.00352874 0.0060785096 0.0027874855 0.014586581 0.0023743806 0.0018919617 0.0015222077 0.007992543 0.0020708442 0.0015944594 0.01073906 0.030117594 0.0020012918 0.0010966375 0.0012536857 0.0035352507 0.0030368727 0.0010705951 0.00085931853 0.003235287 0.0018...
-1
97d27c26e15f2f43961fc9bcf75e60cd2b97172902bdfc2ae335c3cb23b462e8
2018-04
-1
nan
train
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1
7c8e79f309835a90418f2b63489ebecfb208228b540d63afe62767b2c144bf98
2018-04
1
loadmoney
train
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0
0edbb92a3bae85857796b847f030aa8624c7cd522c8cba69f8608ef7f9b8fb3b
2018-04
0
nan
train
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0
88eb8dca86f2d220d5ed202a30bcac63ab2184cd740fe2a42d539deb2e00d440
2018-04
0
nan
train
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0
62a35c77d57f976515b82e87b10db17c78f80d62a41a25a550a950669dbd293b
2018-04
0
nan
train
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0
96d08ca7555a9595c44cfe053d0540c2a0bb50b95b585363d054251a00cdf1c2
2018-04
0
nan
train
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1
95498de5bf570be109aa4ccd295f4f6990184cb4253655b1cda86122a6099008
2018-04
1
driverpack
train
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0
7fbf6ea26179358b18dfd9de0200a1137c8bacee2842158bfafe6bc2d4dcd242
2018-04
0
nan
train
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1
f54e6f29fb8c8e9781cbaf31ccfdaf5f3426ba307d1df4b0744ad5628d906a47
2018-04
1
zbot
train