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3ad4a0d06dd652f448ee418d9c655b6efd3b9a1151f0d9ebf452d922e4616f0b
2018-04
0
nan
train
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0
cb052a0111e09314c403c23bc5d9b59b0e510b48b0d7e6ab29910dec96c29a5d
2018-04
0
nan
train
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-1
6c4ea138e307215fc01e83068724476644cd922aee761c7b5c7fa14bf05b7a0c
2018-04
-1
nan
train
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f059f89cad27aeb7498d33629014f571cdb5592b4ad703e9a03f5a580b48e79e
2018-04
0
nan
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1
d2df1f8e3f6f50653cbcd451547d3b93b7f57b795f6ec0142e5c3ecd08c1c082
2018-04
1
fareit
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1
b8e8303ac7657b851b72e1a99439308f689e127e5463756d12f2a81870d439d0
2018-04
1
flystudio
train
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1
a254d01e8878c4c495b65cb10e203bd47e72f72c2402c7457eb205e4927c3a55
2018-04
1
vtflooder
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0
abcc6100a7311871bd706236160ec9c00fede10db09e4bb8d01494ae47993a75
2018-04
0
nan
train
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0
2d196ef4d3363b238607d67076bd9d06c67aea4d7460853d1826bf8f2e5907ad
2018-04
0
nan
train
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1
9afc4a93ba388f8701a4e9e48e0ae816cd4df54476a95510ebaaae455f5b1ece
2018-04
1
vtflooder
train
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0
b9f367807f79d18e9dd84aa7cefb8c85e07d57950a2b5251513272277104e5e6
2018-04
0
nan
train
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0
e1a9b8b21e48f8956156e34037b1c5d131c6a67c459d5962da2916ab858dd8e9
2018-04
0
nan
train
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-1
e18b1496f4a61910482eec8708b529a3b8094282e35def1329d5f1969b8ed7a7
2018-04
-1
vtflooder
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0
1dc53f39102becf52cade298172b8fef1cd6419f05d92d64f3d9c040b2cef5e1
2018-04
0
nan
train
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-1
75fbfcc78c4a5bb7a2795212f204cfedd72a0c00b68afbc7b88e6fa861de6a72
2018-04
-1
nan
train
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-1
f0db7ae3dd9d28c42615f81b8497bb8251f2fb8559b8c7762c721f78192a5d48
2018-04
-1
nan
train
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-1
ff401215413c59bc54a00e6f8981f70a2a34ffdbe25a652690f6002b4c0fd9bc
2018-04
-1
gamarue
train
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-1
bf698465b1b80a66f782b20c2709ff7f4f582fb85942ade5405889e3675fb269
2018-04
-1
nan
train
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0
eac9af7a6b9eba2c94310b3cd0529b019585dbb7bc26c65171626f92bb33853c
2018-04
0
nan
train
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1
1791a2db7da2e3f81855079b24335199e67b002a53f136af8aaf12cd70fcc5df
2018-04
1
chapak
train
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-1
9e94ed4ca1d1a108775c1cbbb12ac2c9081f85684a244cf7bc3b869e0f2747e4
2018-04
-1
vtflooder
train
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1
3ce6af98d2f0ece4b88b54a65e0168b377439c1e90b6d10cab5ce0355ea3be3d
2018-04
1
freekeylogger
train
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1
8333137d968572c4fdf6eb7c7bd6cb72a5bb124e98ab3a64931fc8876319eb40
2018-04
1
trickbot
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 0.0034771936 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
997aaf3bb870dbbed5d321b3fe8dbb1341ddb88ecaeab0693fd338fdff46b7ba
2018-04
1
vtflooder
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 0.003579464 0.0024544897 0.002761301 0.001534056 0...
1
708a08aa39077baae261519e5569fb28a9ab06c759d9f84678ff45909e2a9c4c
2018-04
1
vtflooder
train
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0.038629483 0.004934328 0.0043145576 0.004431577 0.0045594317 0.0042062057 0.0036687823 0.0038313097 0.005051348 0.0036709495 0.0037424616 0.0037186241 0.0043123905 0.003709956 0.0037424616 0.004490087 0.0045529306 0.0035690991 0.0034152397 0.0035235914 0.0036232749 0.0036709495 0.0035929363 0.0035127562 0.0036536132 0...
1
1150038111203f06f97d4e96d1545278df3abd16c6f4543cfb789149cce88cd3
2018-04
1
gandcrab
train
[ 0.24059097468852997, 0.007892690598964691, 0.004432348534464836, 0.004743390250951052, 0.0067457230761647224, 0.003421461908146739, 0.0055793155916035175, 0.0020606531761586666, 0.003402021713554859, 0.0025077760219573975, 0.0027799378149211407, 0.0018079315777868032, 0.003382581751793623, ...
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0
bcd20bf1f54033a7d6f4cd125ce4d94fd0911aeefb48bed2afe596f3537d5bdf
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 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.0115565555 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056...
1
ed10adcacb20d549408b47f885313f7c2aaa63c2e88360a975f264cca7674276
2018-04
1
vtflooder
train
[ 0.04225380718708038, 0.003682955401018262, 0.0020389605779200792, 0.0011446485295891762, 0.0027598945889621973, 0.0007262414437718689, 0.0013963120291009545, 0.0015356335788965225, 0.0050093852914869785, 0.0007399524911306798, 0.002195531502366066, 0.0017527983291074634, 0.002470636274665594...
0.042253807 0.0036829554 0.0020389606 0.0011446485 0.0027598946 0.00072624144 0.001396312 0.0015356336 0.0050093853 0.0007399525 0.0021955315 0.0017527983 0.0024706363 0.0013317375 0.00035339032 0.0016249763 0.0029912125 0.0004511366 0.00097259745 0.0020557675 0.0013941006 0.00051173044 0.0007408371 0.0011871085 0.0011...
1
23959ab497d1e3a78e3f7b720f32b282b90afc35695f48df90c89cd0642da57d
2018-04
1
fareit
train
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0.015138957 0.0021473633 0.001728453 0.0012683676 0.0011323112 0.0007527856 0.0007187715 0.0006838623 0.0011690106 0.0006534286 0.00067043566 0.00068475737 0.0009953597 0.0008136529 0.00067043566 0.00128806 0.0018242295 0.0006391069 0.0008234991 0.0006507433 0.0007196666 0.0007321981 0.0005540717 0.0005433304 0.0007509...
1
eb1e78d532df6bd8b90fd5fa044c524f57fa5cc5eba91425755a5e9ba9e891f7
2018-04
1
adposhel
train
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0.1622314 0.0074995398 0.003993503 0.00346888 0.006422869 0.0025381832 0.0021356482 0.0018932424 0.0071270843 0.0017685007 0.0015225562 0.001283689 0.005043633 0.0015340571 0.0010572078 0.0068616765 0.004643752 0.0015030929 0.0011509852 0.0010492456 0.0025948037 0.002458561 0.00092892733 0.00061309204 0.0020692963 0.00...
1
2d446164d90b420bb475245aa3d57fe2f5a86f23306b055eb426cb475bb9ad37
2018-04
1
zusy
train
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0.04281078 0.0048730755 0.0040380475 0.00450666 0.0050675003 0.003913416 0.0038186966 0.004020599 0.0042274864 0.003691573 0.003803741 0.0035121043 0.003968254 0.0039059385 0.0035096116 0.0038211893 0.0040081358 0.0033201722 0.003519582 0.003659169 0.0035145967 0.0035843903 0.0032379157 0.0033176797 0.0035569714 0.0032...
1
9ca753e59f7eed09119ecf8bb0d8ef53809f43f4cba59a1eb99e3b684113086a
2018-04
1
filetour
train
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0.13760057 0.012728133 0.0072663184 0.0095204 0.0071635223 0.0051843887 0.0043360116 0.0034863963 0.010095067 0.0033130052 0.0050667305 0.005015952 0.0035730917 0.0017091392 0.0012360297 0.038546044 0.007037195 0.0015196477 0.0010316761 0.00081369886 0.0016818921 0.0055361246 0.00078892877 0.00076663564 0.004830176 0.0...
1
49a0116e6bfb9736c5bf50b382904b919484be70a26e88e0f8584ccbe26a626e
2018-04
1
nan
train
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0.22503528 0.038711194 0.022706961 0.010042333 0.022142522 0.0052210726 0.016827375 0.007714017 0.012041393 0.0056326436 0.021366416 0.0028339606 0.004927093 0.0035277517 0.0045272815 0.0019402634 0.0040216367 0.006150047 0.008149106 0.005738476 0.0022107244 0.002669332 0.0047389464 0.004009878 0.0033984007 0.002975070...
-1
6a8406809a62e455ddb630c254c5a50c08aaf248bd5a65ca745651b916b0ed04
2018-04
-1
nan
train
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1
2c3c429f0e673823729cc10960ad22ff5c32b056d6b78fcc901f32b8df7c007f
2018-04
1
bedep
train
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1
ddf04949ec04bdfd0003c6b9f5c73934e84b1eadc237ca5ae6af1e44e0160b43
2018-04
1
vtflooder
train
[ 0.175586998462677, 0.014777489006519318, 0.005937153473496437, 0.006258129607886076, 0.005412193015217781, 0.0059083555825054646, 0.0038619094993919134, 0.004360472317785025, 0.009316699579358101, 0.004107291344553232, 0.003799514379352331, 0.00416548689827323, 0.0036843230482190847, 0.005...
0.175587 0.014777489 0.0059371535 0.0062581296 0.005412193 0.0059083556 0.0038619095 0.0043604723 0.0093167 0.0041072913 0.0037995144 0.004165487 0.003684323 0.0051692114 0.0028827833 0.012842034 0.0071220645 0.002979376 0.0045770556 0.0028515856 0.0027153958 0.003842111 0.0016162784 0.001542484 0.0033213503 0.00087473...
0
835ed648baaa42517fc79c6c1325acf1b53a64f925bd64ef63408b053e981b00
2018-04
0
nan
train
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0.39086914 0.025268555 0.011108398 0.009399414 0.014038086 0.006713867 0.010131836 0.0021972656 0.003540039 0.0007324219 0.0078125 0.0012207031 0.0014648438 0.0015869141 0.0020751953 0.00024414062 0.0031738281 0.0026855469 0.004272461 0.0009765625 0.0012207031 0.0017089844 0.0015869141 0.00036621094 0.0015869141 0.0006...
0
09a6557afa28c904911218b07d5de2bd1a9bab980eba01fb247baa025fded4dc
2018-04
0
nan
train
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1
6b7c75aa4c3a99f9a5ca48d88ee56efe7992ab1694b5c101c43565d9982b5527
2018-04
1
emotet
train
[ 0.7901475429534912, 0.0028483073692768812, 0.0014377170009538531, 0.0007052951259538531, 0.0033637152519077063, 0.0008680555620230734, 0.00035264756297692657, 0.0010308159980922937, 0.0025770398788154125, 0.0005425347480922937, 0.0010579427471384406, 0.0006781683769077063, 0.0020616319961845...
0.79014754 0.0028483074 0.001437717 0.0007052951 0.0033637153 0.00086805556 0.00035264756 0.001030816 0.0025770399 0.00054253475 0.0010579427 0.0006781684 0.002061632 0.0005967882 0.0004611545 0.000922309 0.0056966147 0.00035264756 0.00056966144 0.00021701389 0.0012478299 0.0006510417 0.00035264756 0.000108506945 0.000...
0
9e62eca417110c3e536f61acf0dbcc217824e75ad362136d8d855f2bfe258c3a
2018-04
0
nan
train
[ 0.6010688543319702, 0.007667702157050371, 0.007277735508978367, 0.002803812036290765, 0.003975357860326767, 0.0017425100086256862, 0.007448859978467226, 0.002119313459843397, 0.0018412357894703746, 0.0012850805651396513, 0.00627731392160058, 0.001979451859369874, 0.0014496234944090247, 0.0...
0.60106885 0.007667702 0.0072777355 0.002803812 0.003975358 0.00174251 0.00744886 0.0021193135 0.0018412358 0.0012850806 0.006277314 0.0019794519 0.0014496235 0.0019086984 0.0014430418 0.0014216512 0.0015154408 0.0014413964 0.0010580113 0.0016010031 0.0009197952 0.00094447663 0.0012719171 0.0016569477 0.0010053575 0.00...
0
f11cf80ac7605f7f0fc20693204e212166799fc8e6c59cf312538131dae4e45c
2018-04
0
nan
train
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0.16977024 0.010123496 0.004634123 0.005674374 0.020665519 0.002677965 0.0019197642 0.0017832881 0.01570082 0.0012555803 0.0012889411 0.0020501746 0.010047676 0.0020865684 0.0009795954 0.005537898 0.02018027 0.0010099233 0.0006854134 0.00082795514 0.0035271496 0.0015254999 0.0007794303 0.00060049497 0.0027416537 0.0011...
1
a50c59c7922dde67d3bd4088d4dc0d62fb911192ea6800ead2c34eb41f69af00
2018-04
1
zdengo
train
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0.1551789 0.009613777 0.0055801705 0.006165357 0.007816419 0.0037828123 0.003406621 0.0035947165 0.008568801 0.002884133 0.002842334 0.0029259322 0.005768266 0.0031976257 0.002194449 0.00731483 0.004639692 0.0026542384 0.002069052 0.0019645544 0.004347099 0.007962715 0.0017764588 0.0015674636 0.0029259322 0.0016510617 ...
1
85802db3d32962c2da380bb9d5d2014dabdeb67dd96cbc15a97b2e20cbe11ca3
2018-04
1
installmonster
train
[ 0.2208758443593979, 0.006590135861188173, 0.0032286352943629026, 0.0035607994068413973, 0.006111819762736559, 0.05911192670464516, 0.002165710087865591, 0.0020195578690618277, 0.0049293152987957, 0.0016608205623924732, 0.0014083757996559143, 0.001222363905981183, 0.005181760061532259, 0.00...
0.22087584 0.006590136 0.0032286353 0.0035607994 0.0061118198 0.059111927 0.00216571 0.0020195579 0.0049293153 0.0016608206 0.0014083758 0.0012223639 0.00518176 0.001833546 0.0014216624 0.012250213 0.005832802 0.0012755102 0.0011825042 0.0013552296 0.0024314413 0.006324405 0.0016209609 0.0011825042 0.0020992772 0.00104...
1
71ffd50096aff29687b0440a0c6dfb31f85036b3c705ab9c994ae602bc7f6a3e
2018-04
1
gandcrab
train
[ 0.09843330085277557, 0.009954636916518211, 0.010784190148115158, 0.004977318458259106, 0.004767305217683315, 0.0037697411607950926, 0.00921958964318037, 0.0036227318923920393, 0.0037907427176833153, 0.0033392137847840786, 0.01246429793536663, 0.0035492272581905127, 0.0036017305683344603, 0...
0.0984333 0.009954637 0.01078419 0.0049773185 0.004767305 0.0037697412 0.00921959 0.003622732 0.0037907427 0.0033392138 0.012464298 0.0035492273 0.0036017306 0.0038327454 0.0034442204 0.002593666 0.0041057626 0.0039902553 0.005502352 0.0041057626 0.0037172379 0.0033497144 0.0041372646 0.003234207 0.0038222447 0.0035912...
-1
f7e200bf0d56c8eabb582edab51bc5fc337b8d4f3abc72beb19bd8987fca1e59
2018-04
-1
nan
train
[ 0.18143178522586823, 0.01278742030262947, 0.007515573874115944, 0.008564470335841179, 0.011145669035613537, 0.0040770163759589195, 0.003981247544288635, 0.0037760285194963217, 0.01370406523346901, 0.002189001999795437, 0.002540154615417123, 0.0026040005031973124, 0.007770957425236702, 0.00...
0.18143179 0.01278742 0.007515574 0.00856447 0.011145669 0.0040770164 0.0039812475 0.0037760285 0.013704065 0.002189002 0.0025401546 0.0026040005 0.0077709574 0.0021798813 0.0016007078 0.016941965 0.0088563375 0.0016280703 0.0018788935 0.0013042804 0.004095258 0.0036756992 0.0010671385 0.000693184 0.0029095486 0.001331...
0
ea1f2926abe1d91fc1170e8eb3ad472301f8b63b9249a7a55e4a26ee8aa9db0b
2018-04
0
nan
train
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0.011308168 0.004078453 0.0039190827 0.003927377 0.004128219 0.0039990637 0.0039451504 0.0038651694 0.003955222 0.003798222 0.0039125658 0.003874056 0.0040743058 0.0038349542 0.0037964447 0.0039113807 0.003980698 0.003876426 0.0037638596 0.0037389765 0.0038420637 0.0038468032 0.003760305 0.0038106635 0.0038284373 0.003...
0
68c3f18712e2b5acfe96acfae85a51c5a687674a3705560bfbf2187336769cc4
2018-04
0
nan
train
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0.18065003 0.012749843 0.007473733 0.008545301 0.011101627 0.004077407 0.003968434 0.0037731908 0.013667033 0.0021930821 0.0025472443 0.0026153524 0.007764328 0.0021885415 0.0016255142 0.016881738 0.008831355 0.001648217 0.0019024874 0.0013349195 0.004109191 0.00368238 0.0010624869 0.0007264868 0.0029331904 0.001330378...
0
788f83a3a3e6ab145ac387560d11ad49d6285fbc5b8f7c38da2d089b359cb016
2018-04
0
nan
train
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0.17129566 0.012153255 0.007475625 0.008308157 0.008402568 0.004978028 0.006342694 0.0034331228 0.0066945893 0.0032786322 0.003467454 0.0038107664 0.0048664515 0.0037936007 0.0028752403 0.004806372 0.007372631 0.0029009888 0.0017852238 0.0030812277 0.004265655 0.00532134 0.0020770393 0.0024718484 0.0027894122 0.0024890...
-1
29da8930a863d2e66a093c87c9652ea14abfe45f9ba8c854b9d6e8e1361aa42b
2018-04
-1
nan
train
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0.24556 0.019299628 0.007877399 0.013713836 0.011529648 0.0066599827 0.015862217 0.0032225724 0.0034374106 0.0048338585 0.005693211 0.0038312804 0.0019335434 0.0057290173 0.002792896 0.0022199943 0.0017545116 0.0015754797 0.0013606417 0.0055499854 0.0026496705 0.0015396734 0.0033299914 0.0027212834 0.0017187053 0.00175...
-1
8b93abc7b388f27aad85767ab0e7552dc516654fb9fcbc7b4e3103b6d33dd2d9
2018-04
-1
nan
train
[ 0.04571860656142235, 0.006442146375775337, 0.004731528460979462, 0.004278854001313448, 0.006733151152729988, 0.003826179075986147, 0.00430194940418005, 0.003676827298477292, 0.007333638146519661, 0.00319643784314394, 0.0033319322392344475, 0.0038184805307537317, 0.0053289360366761684, 0.00...
0.045718607 0.0064421464 0.0047315285 0.004278854 0.006733151 0.003826179 0.0043019494 0.0036768273 0.007333638 0.0031964378 0.0033319322 0.0038184805 0.005328936 0.0035013002 0.0031425478 0.005165727 0.0051410915 0.0032980586 0.0031533258 0.0032457085 0.0042003286 0.0034412516 0.0030824991 0.003459728 0.0041033267 0.0...
0
358ce291ab56deb862ba704ac13c684c933f58e5b0dafb455149eb125c529f69
2018-04
0
nan
train
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0.1536937 0.011029412 0.0073242188 0.0077263326 0.009851792 0.0044806986 0.0052849264 0.0041360296 0.007898667 0.0045381435 0.004107307 0.0033318014 0.007525276 0.005399816 0.0056008734 0.005572151 0.0067784926 0.0033605238 0.0036190257 0.0018095128 0.005198759 0.005055147 0.0025850183 0.0018669578 0.0052274815 0.00281...
1
b7f40f8956d904e226762677f81ff69b83fd2dedd910cecce41bf51ffab42db8
2018-04
1
pcclient
train
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0.04268173 0.002823011 0.0024687524 0.0011445954 0.0023298797 0.0015868656 0.0009663605 0.0011056756 0.003719935 0.0011702471 0.0013347716 0.00089294364 0.0020406349 0.00047190234 0.00035337394 0.0011950142 0.0021313003 0.00045111566 0.0005426656 0.0016257854 0.001394478 0.0013719223 0.0007408027 0.0016182668 0.0011649...
-1
97a20f9fa202a2df6536ad616c27f7c4d9ed4702c0aaeb5819ab646e6e2c3642
2018-04
-1
fareit
train
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0.15504302 0.013380753 0.007832504 0.0054310034 0.0271503 0.0030423051 0.002022139 0.0018253832 0.012769596 0.001568657 0.0039344453 0.002929103 0.007804204 0.0014359142 0.017111704 0.0125438655 0.0072516697 0.00062732806 0.0005478171 0.0007344657 0.006374354 0.0015295754 0.0006293495 0.00055186 0.0038003547 0.00251335...
0
a45ce67319cc7fe75776ba771786d2d9898e13dfbe3ba398ef5a77926e1b0e01
2018-04
0
nan
train
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0.14871652 0.015066965 0.01171875 0.011160715 0.010602678 0.0069754464 0.008649553 0.0047433036 0.010881697 0.0055803573 0.004603795 0.005859375 0.0066964286 0.0043247766 0.003627232 0.007254464 0.01032366 0.00516183 0.00390625 0.0030691964 0.0062779016 0.0037667411 0.0037667411 0.001813616 0.0027901786 0.001813616 0.0...
-1
c6fe41b31f391dec1d4c3b8f56c71e8f67db994a6efa2ebbb407e080ec2f87ee
2018-04
-1
vtflooder
train
[ 0.04222285374999046, 0.004856039769947529, 0.004060417413711548, 0.00452432269230485, 0.005065545439720154, 0.003953170496970415, 0.003865876467898488, 0.004052935168147087, 0.004274911247193813, 0.0037012649700045586, 0.003830958856269717, 0.0034967476967722178, 0.003988088108599186, 0.00...
0.042222854 0.00485604 0.0040604174 0.0045243227 0.0050655454 0.0039531705 0.0038658765 0.004052935 0.0042749112 0.003701265 0.0038309589 0.0034967477 0.003988088 0.003943194 0.003544136 0.0038459236 0.004027994 0.003347101 0.0035516182 0.003613971 0.0034718066 0.0036164653 0.0032548187 0.0032822539 0.0035191947 0.0033...
1
9a2e8ec47149540f669b9a1fe9ec21f0fdd23b8e29fe165cfaa9c9ba7d520d9e
2018-04
1
filetour
train
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0.20052083 0.015487938 0.0056195175 0.0056195175 0.005071272 0.005482456 0.0028782894 0.001370614 0.01274671 0.0016447369 0.0052083335 0.0021929825 0.0046600876 0.0021929825 0.0019188597 0.010279605 0.01069079 0.0024671052 0.0017817982 0.001370614 0.0041118423 0.0026041667 0.001370614 0.0015076754 0.0072642546 0.001370...
0
949f45014e69747501397cf5076bd3b82f0ee7cd541990420eae464de0d8e21d
2018-04
0
nan
train
[ 0.022058621048927307, 0.006949411239475012, 0.00658835843205452, 0.006536779459565878, 0.006791235879063606, 0.005350462161004543, 0.006082884036004543, 0.006065690889954567, 0.006791235879063606, 0.004036916885524988, 0.005240426864475012, 0.004917198326438665, 0.00537109375, 0.0039475131...
0.022058621 0.0069494112 0.0065883584 0.0065367795 0.006791236 0.005350462 0.006082884 0.006065691 0.006791236 0.004036917 0.005240427 0.0049171983 0.0053710938 0.003947513 0.005714954 0.005298883 0.0058628134 0.0032941792 0.0043223207 0.0038924955 0.005058181 0.0039509516 0.0043154433 0.0044701803 0.0045664613 0.00278...
1
124f92ccb05330372f25580df2d8e4e9473fdace65c00798d82d016eb26b61c8
2018-04
1
dealply
train
[ 0.07554986327886581, 0.006904358975589275, 0.004117734730243683, 0.0034086385276168585, 0.00330911623314023, 0.0030851911287754774, 0.004988554865121841, 0.0035206011962145567, 0.003022989723831415, 0.002873706165701151, 0.005000995006412268, 0.002500497503206134, 0.001679438748396933, 0.0...
0.07554986 0.006904359 0.0041177347 0.0034086385 0.0033091162 0.0030851911 0.004988555 0.0035206012 0.0030229897 0.0028737062 0.005000995 0.0025004975 0.0016794387 0.0035828026 0.0029732285 0.002649781 0.0014679538 0.0032717953 0.0020899682 0.0032717953 0.0013062301 0.001430633 0.0025004975 0.0030229897 0.0019282445 0....
1
fd2100cde812a7adc361ecf5169702a66b58d9d075ad1c30d0b6097456ac7c23
2018-04
1
mintluks
train
[ 0.3330310583114624, 0.008533296175301075, 0.002185639925301075, 0.0014183407183736563, 0.005068824626505375, 0.0017671131063252687, 0.0008138020639307797, 0.0010695684468373656, 0.0032087054569274187, 0.0009998140158131719, 0.0011625743936747313, 0.0002325148816453293, 0.0023251487873494625,...
0.33303106 0.008533296 0.00218564 0.0014183407 0.0050688246 0.0017671131 0.00081380206 0.0010695684 0.0032087055 0.000999814 0.0011625744 0.00023251488 0.0023251488 0.0015811012 0.00048828125 0.002232143 0.001906622 0.0004185268 0.00037202382 0.00032552084 0.0012090774 0.0014648438 0.00032552084 0.00030226936 0.0009765...
0
d2c1730761c3795c458d484b5dc42c54e1be08b18804a312b9a1fdc29c21007f
2018-04
0
nan
train
[ 0.05108039826154709, 0.0035250938963145018, 0.0036533805541694164, 0.0036310700234025717, 0.003776089521124959, 0.0033689190167933702, 0.0037203128449618816, 0.003357763634994626, 0.0036310700234025717, 0.0036254923325031996, 0.0032796759624034166, 0.0034860502928495407, 0.003552982350811362...
0.0510804 0.003525094 0.0036533806 0.00363107 0.0037760895 0.003368919 0.0037203128 0.0033577636 0.00363107 0.0036254923 0.003279676 0.0034860503 0.0035529824 0.0033968072 0.0034972057 0.003664536 0.0036589582 0.0033968072 0.0037928226 0.0035920262 0.0037258905 0.0035864485 0.0036087593 0.0038653326 0.0034804726 0.0036...
1
d545e229a14210f9afa58e7762cc9c1bff44a49d2b097d2bf0de7ab939ca6710
2018-04
1
lovgate
train
[ 0.2591278553009033, 0.018873564898967743, 0.004563935101032257, 0.0033282844815403223, 0.005500637926161289, 0.0022122131194919348, 0.0011360013158991933, 0.0011758609907701612, 0.0054209185764193535, 0.001195790828205645, 0.0021125636994838715, 0.0015943878097459674, 0.0026307397056370974, ...
0.25912786 0.018873565 0.004563935 0.0033282845 0.005500638 0.0022122131 0.0011360013 0.001175861 0.0054209186 0.0011957908 0.0021125637 0.0015943878 0.0026307397 0.0012755102 0.0011160715 0.0024513712 0.0061583226 0.0032884248 0.0015943878 0.001813616 0.0027702488 0.005301339 0.0011360013 0.00061782525 0.0024314413 0....
0
4be2abadbb4f79ba66c00903d5f44f9ec0df1593bf311c4876c5ef8cc9a1546b
2018-04
0
nan
train
[ 0.011801684275269508, 0.004007984418421984, 0.00422026589512825, 0.006375194992870092, 0.004795031156390905, 0.0037471370305866003, 0.003906935453414917, 0.0037613348104059696, 0.0038574880454689264, 0.003630029736086726, 0.003650591941550374, 0.0036653773859143257, 0.003688093740493059, 0...
0.011801684 0.0040079844 0.004220266 0.006375195 0.004795031 0.003747137 0.0039069355 0.0037613348 0.003857488 0.0036300297 0.003650592 0.0036653774 0.0036880937 0.0037534034 0.0037686783 0.0061818114 0.0036572502 0.0036504942 0.0036221964 0.004222322 0.0036614607 0.0037480183 0.003744787 0.003728239 0.0038070614 0.003...
1
3dba7b30d37bd71cdb19ce59d01e8b6c2c23866d037db3f3b0cfeae271444caf
2018-04
1
presenoker
train
[ 0.14631173014640808, 0.008826830424368382, 0.005201139487326145, 0.0033882942516356707, 0.009474274702370167, 0.00288112903945148, 0.00148912298027426, 0.0019747065380215645, 0.018409011885523796, 0.0013920061755925417, 0.0018128453521057963, 0.0073592886328697205, 0.007855663076043129, 0....
0.14631173 0.00882683 0.0052011395 0.0033882943 0.009474275 0.002881129 0.001489123 0.0019747065 0.018409012 0.0013920062 0.0018128454 0.0073592886 0.007855663 0.0010035394 0.0005395373 0.004791091 0.007769337 0.00072297995 0.0009927487 0.000679817 0.0029458737 0.001316471 0.000593491 0.0006582355 0.0023308012 0.000884...
1
3c8ec69046d493318498fe07a8fbbff6a3be4916c957da7279bafda1af00d7d5
2018-04
1
fareit
train
[ 0.2525334060192108, 0.01658915914595127, 0.016761984676122665, 0.013456352055072784, 0.01625855639576912, 0.0067100804299116135, 0.005089185666292906, 0.004511340521275997, 0.009502931497991085, 0.0028306690510362387, 0.0026411714497953653, 0.002976655261591077, 0.006774330511689186, 0.002...
0.2525334 0.01658916 0.016761985 0.013456352 0.016258556 0.0067100804 0.0050891857 0.0045113405 0.0095029315 0.002830669 0.0026411714 0.0029766553 0.0067743305 0.002818063 0.0027408 0.0060073943 0.006149721 0.0024089762 0.0021043976 0.0022804758 0.0037423712 0.0047004316 0.0019628846 0.0017571212 0.0029766553 0.0024236...
-1
71b2f1af78c23624f9544cea0e9bec5270493b419e539b169e4e556b89d10434
2018-04
-1
nan
train
[ 0.26754239201545715, 0.017912929877638817, 0.006605873350054026, 0.004511076956987381, 0.005797015503048897, 0.011451754719018936, 0.004304019268602133, 0.005103795323520899, 0.0070890081115067005, 0.0035623644944280386, 0.005259996745735407, 0.003264491679146886, 0.00341706071048975, 0.00...
0.2675424 0.01791293 0.0066058734 0.004511077 0.0057970155 0.011451755 0.0043040193 0.0051037953 0.007089008 0.0035623645 0.0052599967 0.0032644917 0.0034170607 0.006531405 0.0021577612 0.0068208016 0.005895701 0.0009668756 0.0007222809 0.0015408255 0.0020893472 0.005646263 0.0023769278 0.0006108813 0.0019392001 0.0020...
0
79bd9dedd8a3ce3aaf004a0e5a82c6a759668494c1e8caba9bc23cf5c5addc65
2018-04
0
nan
train
[ 0.03399789333343506, 0.004911977797746658, 0.004325723275542259, 0.004187534563243389, 0.005041093565523624, 0.003910459112375975, 0.003927209414541721, 0.003740166313946247, 0.0051192608661949635, 0.003617331851273775, 0.003661999013274908, 0.003553122980520129, 0.004541381262242794, 0.00...
0.033997893 0.004911978 0.0043257233 0.0041875346 0.0050410936 0.003910459 0.0039272094 0.0037401663 0.005119261 0.0036173319 0.003661999 0.003553123 0.0045413813 0.003679447 0.003563592 0.0047200494 0.00469632 0.0034037677 0.0034693724 0.0035747588 0.004036085 0.0035426542 0.0034924038 0.003507758 0.0039453553 0.00354...
1
da4dd8a6131eb4f8042696c0f29899255eb02ec64fd165e0b00019dbee4fc01a
2018-04
1
presenoker
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 0.0033749233 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
-1
63ddd955b7c71e1e5035ee8ea9659ec318d7eb0b513dd18a51f8730d774b8719
2018-04
-1
vtflooder
train
[ 0.042682353407144547, 0.002823052229359746, 0.0020388956181705, 0.0024342909455299377, 0.0031905840151011944, 0.0020158973056823015, 0.0009663745877332985, 0.0015355846844613552, 0.003719547064974904, 0.001169821829535067, 0.0013347910717129707, 0.001322849653661251, 0.0016107717528939247, ...
0.042682353 0.0028230522 0.0020388956 0.002434291 0.003190584 0.0020158973 0.0009663746 0.0015355847 0.003719547 0.0011698218 0.0013347911 0.0013228497 0.0016107718 0.0009018022 0.0016430579 0.0011950317 0.0029915597 0.0013113504 0.0005431158 0.000765581 0.0009641632 0.0009420494 0.0007403712 0.0011875129 0.0011649568 ...
-1
3469d4566f7f6f782ffbc660b3fbbdbe6a67463ed345a0747f26f8d28e8b8424
2018-04
-1
fareit
train
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0
af65c2a3932bd24aadf49dc42c356d29625604f0b6d84d5fd4d6fec8a59146f5
2018-04
0
nan
train
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-1
a913ef50b5647a63ce55748bc7b2800b7fbd5ed4f03cf6e39217e24338b6db41
2018-04
-1
vtflooder
train
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0
3f9386b1ffe5e106c44dccacea5bd8c854329bcf2352727a510e2364f92a216d
2018-04
0
nan
train
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0
f09976d6b23f010faa97cada5709312135da98942423c8d662b4a58e1a0c7e5e
2018-04
0
nan
train
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1
6ed5153397f63de186da212eb4d86b56cd914ff1c485cc7b18a9e53e18b95718
2018-04
1
adposhel
train
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0
7115bfd92bc66034707bf97f069e5ac93434af517b5dbba46fec8b0b7f5015d0
2018-04
0
nan
train
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0.44693217 0.008844639 0.008241234 0.003922129 0.00951156 0.002953506 0.0032552083 0.0014132368 0.0014132368 0.0010956555 0.022580031 0.0006827998 0.00087334856 0.0064310213 0.001222688 0.0009368648 0.0011750509 0.0038427338 0.0056370683 0.0047002034 0.0026200458 0.0033187247 0.008797002 0.004382622 0.001953125 0.00193...
0
171c5a927797178956263d0375be990c03f363c36581c50f55cda4eb148ecdf6
2018-04
0
nan
train
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0.19509345 0.0055125584 0.0023364485 0.002610251 0.0027106456 0.0025189836 0.0019257447 0.004344334 0.003066589 0.0028292933 0.006005403 0.003614194 0.0025098568 0.0035868136 0.0021265333 0.004417348 0.0026376315 0.0049832067 0.0023729557 0.004462982 0.004490362 0.0026467582 0.0023729557 0.003979264 0.0028566734 0.0025...
-1
ce25e181728a3c6172ac30941c5af95a520cb4d5d333c5496016dc8369339129
2018-04
-1
emotet
train
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0.9486151 0.0016335227 0.0046342327 0.001710464 0.0024266099 0.00024857954 0.0041844225 0.0009765625 0.00037878787 0.0001953125 0.0040956438 0.00051491475 0.00034919506 0.00026633524 0.00010653409 0.00018347538 0.0001953125 0.00083451706 0.00029592804 0.00073982007 0.00020714963 8.877841e-05 0.0003728693 0.0004202178 0...
0
08ad8ee4d955a7db49bd9290d863ec040d5138f344edf9b96c52d8ae1b9436f5
2018-04
0
nan
train
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0
8e2dac3df0915ce3fd89e3bc1e06291004241b34b4a2f1594eeab090b8149814
2018-04
0
nan
train
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0.010135109 0.004035597 0.0039407862 0.0038659694 0.004195551 0.0039665853 0.003778253 0.0038691943 0.0040768757 0.003807922 0.003897573 0.0039136973 0.003948526 0.0038492002 0.0038498451 0.003922082 0.004036887 0.0039182124 0.0038234012 0.0037834127 0.003757614 0.003824691 0.0037653537 0.0037969572 0.003920147 0.00386...
0
adaad095f4dcb3f342e8c83a6c5695ead7c33b08b0d70cb34c318e313ebcf1fc
2018-04
0
nan
train
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1
d0a93ffca84ae5b0e6ab502bc312210aaf5f28ff94be1b0b9e7ebc41a8aa673d
2018-04
1
vtflooder
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
8bef36dd1d86b393ac52c9a028abc02b7a761e1accf4abc1788f0ba0753989df
2018-04
1
vtflooder
train
[ 0.1218705102801323, 0.00839170254766941, 0.00453035207465291, 0.0046111708506941795, 0.00537446141242981, 0.0036188936792314053, 0.003798491321504116, 0.004463003017008305, 0.006555316038429737, 0.0028600934892892838, 0.0027433549985289574, 0.0027658045291900635, 0.004763829056173563, 0.00...
0.12187051 0.008391703 0.004530352 0.004611171 0.0053744614 0.0036188937 0.0037984913 0.004463003 0.006555316 0.0028600935 0.002743355 0.0027658045 0.004763829 0.002882543 0.00234375 0.012935525 0.0054238504 0.0020923133 0.001876796 0.0024470186 0.0031205101 0.0030531608 0.0022898708 0.0023841595 0.003192349 0.00247844...
1
6e432a47678f207b8d234771dbea1a0f2996d0dbf61990b6d501d968f2455359
2018-04
1
zusy
train
[ 0.019702428951859474, 0.0044378298334777355, 0.004966973792761564, 0.004259437322616577, 0.004626132547855377, 0.0041374932043254375, 0.003787602996453643, 0.004208160564303398, 0.003925921395421028, 0.004050451330840588, 0.0039039456751197577, 0.0037725213915109634, 0.0040284753777086735, ...
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0
a2b28c6f4fcb5145259b4cfed28d456600ce113e1fcceb5327f6cd4165ca5510
2018-04
0
nan
train
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0.0426813 0.0032533067 0.0028999364 0.0015749083 0.0031900627 0.0011565249 0.00096635066 0.0015355466 0.0037194549 0.0007399106 0.0017650826 0.0017535837 0.002471381 0.00090177986 0.00035337033 0.001195002 0.0021312786 0.0013113179 0.00054266007 0.000765562 0.0009641393 0.00094202603 0.0011711197 0.0011870413 0.0007350...
1
d0761302ae8618722ce035023c4278337330ac80cead5d0617218f7d7ffe541c
2018-04
1
fareit
train
[ 0.02345142886042595, 0.005393534433096647, 0.004183277953416109, 0.004290065262466669, 0.0040083942003548145, 0.0039449408650398254, 0.00390625, 0.0038969642482697964, 0.003672556020319462, 0.00379946269094944, 0.004096610005944967, 0.003842796664685011, 0.003838153788819909, 0.00378553383...
0.023451429 0.0053935344 0.004183278 0.0042900653 0.004008394 0.003944941 0.00390625 0.0038969642 0.003672556 0.0037994627 0.00409661 0.0038427967 0.0038381538 0.0037855338 0.0037870815 0.0056752055 0.0035874357 0.004830193 0.0038010103 0.0058408035 0.0035998167 0.0035425539 0.0034852913 0.003590531 0.0042807795 0.0036...
1
ffb4ef723fa5c6e08b1a9051779bb315b4b7b043a48a21417c56123b6f42e3ea
2018-04
1
ubibila
train
[ 0.04254443570971489, 0.004820256493985653, 0.004024777095764875, 0.004516029264777899, 0.005069623235613108, 0.00393500505015254, 0.0038552077021449804, 0.004089612513780594, 0.004269156139343977, 0.0036656891461461782, 0.0038153091445565224, 0.0035235502291470766, 0.003987371921539307, 0....
0.042544436 0.0048202565 0.004024777 0.0045160293 0.0050696232 0.003935005 0.0038552077 0.0040896125 0.004269156 0.0036656891 0.0038153091 0.0035235502 0.003987372 0.0038926129 0.0035185628 0.0038327647 0.004032258 0.0033714366 0.003511082 0.0036208031 0.0035210566 0.0035833982 0.0032317913 0.0032592216 0.0035360185 0....
1
f279b2ff98d88ac5787c0a4dbfe37920f4f11b82604ee8468ed404ddd3eab47d
2018-04
1
filetour
train
[ 0.0009422425646334887, 0.000040555463783675805, 0.00002721484997891821, 0.000024210741685237736, 0.000033717162295943126, 0.000016621415852569044, 0.000018578039089334197, 0.000011502573215693701, 0.00004502209776546806, 0.000009506421520200092, 0.000007688146069995128, 0.00001286627957597375,...
0.00094224256 4.0555464e-05 2.721485e-05 2.4210742e-05 3.3717162e-05 1.6621416e-05 1.8578039e-05 1.1502573e-05 4.5022098e-05 9.5064215e-06 7.688146e-06 1.286628e-05 2.5870906e-05 1.48031395e-05 7.134757e-06 4.8125024e-05 2.5752324e-05 5.8303417e-06 9.130908e-06 9.012325e-06 1.2451239e-05 1.0040047e-05 7.96484e-06 6.779...
1
94f8dcaf1bc4483703a7359ed3c5475ec647d31c802f4569da78a32b54d697a4
2018-04
1
gandcrab
train
[ 0.180768221616745, 0.012771815992891788, 0.007496797014027834, 0.008546348661184311, 0.011158868670463562, 0.0040709879249334335, 0.003980117384344339, 0.003784746630117297, 0.013666887767612934, 0.0022217780351638794, 0.002535280305892229, 0.0026352377608418465, 0.007773951161652803, 0.00...
0.18076822 0.012771816 0.007496797 0.008546349 0.011158869 0.004070988 0.0039801174 0.0037847466 0.013666888 0.002221778 0.0025352803 0.0026352378 0.007773951 0.0021717993 0.0016084036 0.016897326 0.0088598505 0.0016174907 0.0018810144 0.0013221623 0.0040755314 0.0037075067 0.0010813562 0.000699701 0.0029169356 0.00134...
0
6f1d4634342f81292457b98d8fab3be5526d9d47da4e22f3da120e474a65870f
2018-04
0
nan
train
[ 0.21648827195167542, 0.01723369024693966, 0.007390418089926243, 0.011308613233268261, 0.012996941804885864, 0.007135576102882624, 0.013729612343013287, 0.00461901118978858, 0.00576580036431551, 0.005574668757617474, 0.0053198267705738544, 0.003153669647872448, 0.0035359326284378767, 0.0052...
0.21648827 0.01723369 0.007390418 0.011308613 0.012996942 0.007135576 0.013729612 0.004619011 0.0057658004 0.0055746688 0.005319827 0.0031536696 0.0035359326 0.0052879713 0.003058104 0.0028669725 0.016150612 0.0022298675 0.001401631 0.006912589 0.0022935779 0.0029943935 0.0023891437 0.002038736 0.0021024465 0.001529052...
0
12dc21df2b34a31fb53ab8dc44d01ee2e2227ab7b97bfa5673fba7a493e208fa
2018-04
0
nan
train
[ 0.21996043622493744, 0.02895333431661129, 0.015932125970721245, 0.012014019303023815, 0.0098031684756279, 0.013590294867753983, 0.005175964906811714, 0.002755094552412629, 0.006196704693138599, 0.002156652044504881, 0.0031480344478040934, 0.0021543935872614384, 0.002578949322924018, 0.0027...
0.21996044 0.028953334 0.015932126 0.012014019 0.0098031685 0.013590295 0.005175965 0.0027550946 0.0061967047 0.002156652 0.0031480344 0.0021543936 0.0025789493 0.0027663861 0.0016033747 0.009152786 0.005455991 0.0019443742 0.0012104351 0.0014046467 0.0018743677 0.0031006106 0.0010320314 0.0009891242 0.0036696957 0.001...
-1
5afc2f8d00fb3232a2fa8cf9fad58945550321f76088262f3ca69064ce785f3f
2018-04
-1
nan
train
[ 0.016417305916547775, 0.006065743044018745, 0.005568248685449362, 0.005708284210413694, 0.006747493986040354, 0.004551149904727936, 0.006161556579172611, 0.0038988797459751368, 0.006788030732423067, 0.003814121475443244, 0.004658018704503775, 0.003928360994905233, 0.006489534396678209, 0.0...
0.016417306 0.006065743 0.0055682487 0.005708284 0.006747494 0.00455115 0.0061615566 0.0038988797 0.0067880307 0.0038141215 0.0046580187 0.003928361 0.0064895344 0.0039946935 0.0044405954 0.004167895 0.0066516805 0.0030807783 0.0034087559 0.0032392393 0.005173939 0.0031139445 0.0037588445 0.0033903301 0.005181309 0.003...
0
e6442d58e989050756513ae75fa0c7a4c8982224fb67503f6637d5371ccfe19b
2018-04
0
nan
train
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1
31fa739bc756fb3caa9710f5c65fc3c7eee4f9bf76982064f61e2a59afe6fa78
2018-04
1
vtflooder
train
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0
e8db9853f3b0e89cc9dbda11323dae7dbb8081182e93260a6d8a47febb4e66b0
2018-04
0
nan
train
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0
6ad36314535a8dc4ba3eff5a5169ae44f0e54e568b6bf46d38a835d454fa1454
2018-04
0
nan
train
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1
667195aa391d6761a553fca3d65091ddc221747cab9a316c0cafa6c496479420
2018-04
1
vtflooder
train
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1
7463c27899f3848c21f59f9d0cd6e699052b37af686f5834a3615c88ad212769
2018-04
1
scar
train
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0
f06811f9e58cbebb3cf0efa30c118c8a2b6285eed09280cc1f9a706182888060
2018-04
0
nan
train
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-1
4bbe52cdd73bbb700c2ca5fbb36624ded0ff201bf21f9986c2d4c245e35be0f3
2018-04
-1
nan
train
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0
c37e3138532e6cfbfafa16fe5c5ad28bfba3c4de75d85cf7bb0da43a356a9026
2018-04
0
nan
train