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734bfc8c39bcfe5f4fc7cfe8566c18877c2fcde97c00e04ced628d4e414551b1
2018-04
0
nan
train
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1
63307a941c99321f5b6ad529a8128bb164474c1cebd2dc9abdeb758e23fc01da
2018-04
1
bladabindi
train
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-1
17326d7b673a584af428d96d9d4be0a357ac07e1f916710d73cb193d1e721caf
2018-04
-1
zusy
train
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1
f3aac444574ff82b8dc56f5b357dd565177894f110df1cd523d1db6f42b1f5a7
2018-04
1
memery
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2018-04
0
nan
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2018-04
0
nan
train
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1
10cbd961f3120b9de1987394250c52e8cf064e4216efa4a1ba52f55c5f230853
2018-04
1
autoruns
train
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-1
73a7b26b51a5dad7a0d4d657480fecb5c1557d515714af7f7774ebe443e55999
2018-04
-1
vtflooder
train
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1
14b865f77d2cd242db333db356f37d2f7980e416b1dafa6abde83eed54669ab4
2018-04
1
vtflooder
train
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-1
2dc0c968103328b1b2c7350cb785e3d96568a92a95e7ab8460354ac97dc78099
2018-04
-1
zbot
train
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-1
9377c038653f124bf87a240a3e525603cc75eef1d95b1a11e016d9682748c379
2018-04
-1
vtflooder
train
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1
57a174b5853ca6f4f97b72c6da4b039b5d91c495e84d48b6a401e77285e44660
2018-04
1
vtflooder
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1
3d16caceddc505ed56081aaf31246c205a5380b58c4d76ce63de981461d9a98f
2018-04
1
nan
train
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0
480b7e03da0a5133839c5c9ef540c04cd884b4b0f973a9626af049da612c1c8f
2018-04
0
nan
train
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1
2b26e933e933eb9cc0b78e23bbf7f5fad97280081eaf9f7fdacc154104202c5b
2018-04
1
istartsurf
train
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1
4dcbe47922bd962058d75d7dd8cfe52da8e137525d95b8ac23fb024ac8f69dbc
2018-04
1
adposhel
train
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0
0fc6552326b997e4463efb2b2bb760ad6e9c5ec01d72e1e655d77f7eba10a6e3
2018-04
0
nan
train
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1
f1e0ec721cdfee4cf18446344bf9e32311fd3e8045d471abc376604432a66937
2018-04
1
nan
train
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467ce86e3c97ccae5ae6fa77d54f4a27c98cd45b7895d279454eb97cb305cc75
2018-04
0
nan
train
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f998f0fdb20bab2b094ec11dfbecf56161e1518bd1a43e7e5b037f13d22ff0e9
2018-04
0
nan
train
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-1
942bd19fc3231524d729b3153eddcd3cd02e92a809ad50f41600d21a33dac174
2018-04
-1
delf
train
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0
1de055cd70b576a7908aa640df0a4df92211e9a21c5d256843b790531cfb36bc
2018-04
0
nan
train
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0
a91c3c3d97e03b2b591ee99c038fc0ec1b86cfa51cade7e212d862a21eb30377
2018-04
0
nan
train
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1
89e6556ef533523785b1fe4e1fda7be80d54d2a0771c120fe338c7f44b2046c2
2018-04
1
byfh
train
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0
b82e9a0ff6566e11148d2b81266279f66263af0a3124083b14108eb139945d22
2018-04
0
nan
train
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0
12f5872d4b1ada8d0a23408ef11dd2396df30f5d7d4f986ab1d125ede99c6142
2018-04
0
nan
train
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0
4a24b973c47281fbf2a85f2773af63a4e6718a8414ff9f0c7319a86c6a20fdf2
2018-04
0
nan
train
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0
a0c0b67615811eca96c09f23530019590a52c4c12e235728f123492453ed62da
2018-04
0
nan
train
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0.17778999 0.012597497 0.007424482 0.00847874 0.010962502 0.004074084 0.0039713383 0.0038060523 0.013553477 0.0022291315 0.0025731057 0.0026177776 0.0077059153 0.002220197 0.0016573302 0.016635843 0.008746772 0.0016617974 0.0019119604 0.0013401592 0.004100887 0.0036407658 0.0010989306 0.00077729236 0.002921547 0.001389...
0
78c94e0f3f9380d85d25067dd37d1e7aa86f1924cb2fb6a6320418a396bec23a
2018-04
0
nan
train
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1
bb4eb834c0dbff96b1fda40ce5ed539dca8e08874932444bff8eedcf6502c555
2018-04
1
gandcrab
train
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0.02284807 0.004351986 0.0041801156 0.0039687995 0.004035857 0.0040324763 0.003839756 0.0042539355 0.0043023974 0.0038217236 0.0037124027 0.0040595247 0.0037439591 0.0041530672 0.003790167 0.0044280603 0.0038194696 0.0036492895 0.003796929 0.0036831002 0.0036554881 0.003961474 0.0037259269 0.0037112755 0.0037546658 0.0...
0
5d4e4a7476a81a540d778ab4aaf71037ce12a8d585bc3c22f66ed828d63040e7
2018-04
0
nan
train
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0.04282908 0.0048457533 0.004050591 0.0045192135 0.005040182 0.0039134943 0.0038337288 0.0040879813 0.0042699464 0.0036866611 0.0038013242 0.0034797695 0.0039783036 0.003915987 0.0035171595 0.0038810896 0.004005723 0.0033651066 0.0035495644 0.0036368077 0.003474784 0.0036093884 0.003210561 0.0032728778 0.0035470717 0.0...
-1
ccd9b93ee0fddae2076c4563e772338eaae88e4afbbee16d057d8a968573835c
2018-04
-1
filetour
train
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0.36521465 0.0022095959 0.005050505 0.0047348486 0.0044191917 0.008207071 0.005050505 0.003787879 0.0025252525 0.0015782828 0.0022095959 0.0022095959 0.0031565656 0.0041035353 0.0009469697 0.0031565656 0.0034722222 0.00031565657 0.00031565657 0.00031565657 0.00063131313 0.0028409092 0.0018939395 0.00031565657 0.0012626...
-1
71e0eaefeb2ce7fbe7b130f94916f96d71e14ba37fe6b778838821ca7a53b9e3
2018-04
-1
nan
train
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0.11850639 0.007879768 0.0056737275 0.0043087867 0.0056958618 0.00323159 0.003371773 0.0031873216 0.006094277 0.0034234195 0.0032020777 0.0029807359 0.0037628103 0.0030176262 0.0028184187 0.004456348 0.004456348 0.003135675 0.0029364675 0.0025306742 0.003253724 0.004869519 0.0027003696 0.0025970768 0.0033053705 0.00235...
-1
9045f839afa3119b5e2daa09f81fc705515880ce3ce6c2a728fc186c49da292a
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
0332404dba0d946e7943d72ad0841e3d57e1e4393a48a32d7f2fd6f13b028894
2018-04
-1
vtflooder
train
[ 0.26669785380363464, 0.014871527440845966, 0.004750251770019531, 0.00585684459656477, 0.0072243413887917995, 0.0037516194861382246, 0.004525334574282169, 0.002690010005608201, 0.004192457068711519, 0.002770980354398489, 0.005218079779297113, 0.0021502086892724037, 0.002591046504676342, 0.0...
0.26669785 0.014871527 0.004750252 0.0058568446 0.0072243414 0.0037516195 0.0045253346 0.00269001 0.004192457 0.0027709804 0.00521808 0.0021502087 0.0025910465 0.0026540232 0.0014844537 0.0013405067 0.018137325 0.0010616094 0.0011335828 0.0023211457 0.0016643875 0.00097164244 0.0011605729 0.0006477616 0.0021232187 0.00...
0
309090418547b3d4f4f5078cf0abfc72df652a516a87ff6c2135a73bc60ffbbe
2018-04
0
nan
train
[ 0.004101407248526812, 0.003906849771738052, 0.0038962566759437323, 0.0039167762733995914, 0.003896345617249608, 0.00392035162076354, 0.003904717741534114, 0.003931588493287563, 0.003886263584718108, 0.0038956571370363235, 0.003903229720890522, 0.0038971893955022097, 0.003905694931745529, 0...
0.0041014072 0.00390685 0.0038962567 0.0039167763 0.0038963456 0.0039203516 0.0039047177 0.0039315885 0.0038862636 0.0038956571 0.0039032297 0.0038971894 0.003905695 0.003897367 0.003900787 0.003909981 0.003895857 0.0039034518 0.0038863746 0.0038970562 0.0038808894 0.003902919 0.0039016088 0.0039036518 0.003907449 0.00...
0
c4d909aa1779ace67dee3754d2e936a319579b9af478f260c509a4a88f5349b1
2018-04
0
nan
train
[ 0.62451171875, 0.02294921875, 0.00732421875, 0.003662109375, 0.00390625, 0.003662109375, 0.0068359375, 0.001220703125, 0.0048828125, 0.0009765625, 0.004638671875, 0.000732421875, 0.00146484375, 0.001708984375, 0.0009765625, 0.000244140625, 0.002197265625, 0.001220703125, 0.001708...
0.6245117 0.022949219 0.0073242188 0.0036621094 0.00390625 0.0036621094 0.0068359375 0.0012207031 0.0048828125 0.0009765625 0.004638672 0.0007324219 0.0014648438 0.0017089844 0.0009765625 0.00024414062 0.0021972656 0.0012207031 0.0017089844 0.0007324219 0.0012207031 0.0012207031 0.0009765625 0.0012207031 0.0009765625 0...
1
f467e7ff668f4ef3e3e3bbaee9a6c4af51426720b5d25199ae63ba20c35c2253
2018-04
1
nan
train
[ 0.15694832801818848, 0.013093575835227966, 0.008467178791761398, 0.00672136852517724, 0.011173184029757977, 0.004102653823792934, 0.004539106041193008, 0.004277234431356192, 0.0120460893958807, 0.0018331005703657866, 0.005935754161328077, 0.0020949721802026033, 0.011173184029757977, 0.0019...
0.15694833 0.013093576 0.008467179 0.0067213685 0.011173184 0.004102654 0.004539106 0.0042772344 0.012046089 0.0018331006 0.005935754 0.0020949722 0.011173184 0.0019203911 0.0011347765 0.017981844 0.008816341 0.0006110335 0.00078561454 0.0004364525 0.005761173 0.0025314246 0.000698324 0.0004364525 0.0011347765 0.000261...
0
9b400bdf54c5b70f6e3d5f39a9ac6875eb64d43b9d8b65ee90fa892a38eb6a1d
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
577cb2b8d3763e2143600908e400912e3adacd40ed53bc7c57c20bb6d35bd5f1
2018-04
-1
vtflooder
train
[ 0.7660859227180481, 0.001704589230939746, 0.00104423554148525, 0.0006555371219292283, 0.0007889565313234925, 0.00034342246362939477, 0.0007301942096091807, 0.0004041114298161119, 0.00039206998189911246, 0.00022397117572836578, 0.0009902897290885448, 0.000300554878776893, 0.000237457614275626...
0.7660859 0.0017045892 0.0010442355 0.0006555371 0.00078895653 0.00034342246 0.0007301942 0.00040411143 0.00039206998 0.00022397118 0.0009902897 0.00030055488 0.00023745761 0.00018254855 0.00032608278 0.00018110358 0.00019651664 0.00047395192 0.0004195245 0.00027502698 0.00018014025 0.00019025509 0.00020952143 0.000195...
-1
5fbdaac227ce1cc9d6921497638678b33d1a9a944bb85de0c687c09c4719fe5f
2018-04
-1
nan
train
[ 0.16601140797138214, 0.018718412145972252, 0.010329978540539742, 0.006515330169349909, 0.010359459556639194, 0.0059878285974264145, 0.0031681687105447054, 0.0029133677016943693, 0.010957504622638226, 0.0021310646552592516, 0.0023068985901772976, 0.003153428202494979, 0.008505306206643581, ...
0.16601141 0.018718412 0.010329979 0.00651533 0.01035946 0.0059878286 0.0031681687 0.0029133677 0.010957505 0.0021310647 0.0023068986 0.0031534282 0.008505306 0.0020415683 0.0018941627 0.012908524 0.0058951736 0.0016741072 0.0015467065 0.004521142 0.0035651112 0.00379359 0.0016183036 0.0015751348 0.0039051971 0.0013824...
0
80d6457f4f6dc740419c27cacf545b4ed7cb8e5976b57f6d5d539ab1b6f8dd69
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 0.0033749233 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
-1
e43ab76e5fdcd7bea8d6826c7d31b333f1106ab08effee2cc5649356eff7e5f7
2018-04
-1
vtflooder
train
[ 0.18899299204349518, 0.018866220489144325, 0.01040300726890564, 0.0065979682840406895, 0.008641442283987999, 0.006651782896369696, 0.004972667898982763, 0.0043599712662398815, 0.009403734467923641, 0.003855397691950202, 0.003663837444037199, 0.003222952364012599, 0.005607088096439838, 0.00...
0.18899299 0.01886622 0.010403007 0.0065979683 0.008641442 0.006651783 0.004972668 0.0043599713 0.0094037345 0.0038553977 0.0036638374 0.0032229524 0.005607088 0.0051864455 0.002651234 0.017935572 0.006199049 0.0049958727 0.0013122867 0.0012357613 0.0031567952 0.005487116 0.0013878247 0.0012772331 0.0031992544 0.001040...
1
4fdd94298b1093b3ce01868c78a2a00384609b4f0f1f112ec297fa5f8a540f80
2018-04
1
autohk
train
[ 0.0731804370880127, 0.0029153262730687857, 0.0027056524995714426, 0.004192037973552942, 0.002925379201769829, 0.0025476792361587286, 0.0024931065272539854, 0.0023853974416851997, 0.0025333180092275143, 0.002639590995386243, 0.0024945426266640425, 0.0027372471522539854, 0.0023696001153439283,...
0.07318044 0.0029153263 0.0027056525 0.004192038 0.0029253792 0.0025476792 0.0024931065 0.0023853974 0.002533318 0.002639591 0.0024945426 0.0027372472 0.0023696 0.0025175207 0.002697036 0.0024485867 0.003100586 0.0023293889 0.002602252 0.0024112477 0.0022647632 0.0025247012 0.0023164637 0.0022920496 0.002450023 0.00220...
1
08b47fb83d7e0f5b1944e0d9f9830f379a55aec3568f9af35329839ebab59ed1
2018-04
1
ponystealer
train
[ 0.1791541427373886, 0.02217172458767891, 0.007512019015848637, 0.008687649853527546, 0.016004357486963272, 0.003910006023943424, 0.003493088996037841, 0.0029785155784338713, 0.011737530119717121, 0.0035719650331884623, 0.0021409254986792803, 0.0017953725764527917, 0.007966496050357819, 0.0...
0.17915414 0.022171725 0.007512019 0.00868765 0.016004357 0.003910006 0.003493089 0.0029785156 0.01173753 0.003571965 0.0021409255 0.0017953726 0.007966496 0.0015963041 0.001945613 0.010836088 0.008961839 0.0014685998 0.0012207031 0.001183143 0.006208684 0.0033128005 0.0009840745 0.0012131911 0.00630634 0.000792518 0.0...
0
820fa2dbb690c7e896c32de7d4a3a1ea6df14a917bb6f1fe035d414f5e1c236c
2018-04
0
nan
train
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-1
540a855ac11ec6a1c9fa14d986e8788c6ba4e59784c7e737c8e2ce9942a9e997
2018-04
-1
filetour
train
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0.21663424 0.013543849 0.005050883 0.005649506 0.008313379 0.0034346003 0.0037862915 0.0030754264 0.0099595925 0.0024393895 0.002170009 0.0014666268 0.0074453754 0.0020876983 0.0012346603 0.0067270277 0.00683927 0.0009952111 0.0007931757 0.0011673152 0.003554325 0.002955702 0.0013843161 0.0009353487 0.0026938042 0.0008...
-1
11b8e26c0fa7fbb186c53c154cf60456f5d43f457e1b48571fc2916fe809fb76
2018-04
-1
nan
train
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0.2537339 0.012005975 0.006318934 0.014188878 0.0065487134 0.0049402574 0.0026424632 0.009650735 0.027630974 0.008559283 0.002757353 0.0021829044 0.005112592 0.0022403493 0.0014361213 0.015567555 0.012408088 0.01361443 0.0033892463 0.003102022 0.0047679227 0.004250919 0.0013786765 0.0009765625 0.0036764706 0.0007467831...
0
83c75dbcf1348562d610d27a1f3e923dcf103dea7c1249f445814b5ae7acdf6f
2018-04
0
nan
train
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0.26760694 0.013073417 0.0064735175 0.007749083 0.011020597 0.007720195 0.002591754 0.0019237297 0.0054443986 0.0019029668 0.0024707874 0.0022550337 0.0033933832 0.0035658057 0.0012277205 0.018440181 0.0041516814 0.0008937083 0.0010778664 0.00069239823 0.004449584 0.0033726203 0.0010191886 0.0007700335 0.0030945777 0.0...
0
f9b09f340b19b147b80c6fb1c2f1dedf20d6eace6dd3610adfa38a1026867263
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 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
-1
d15ca93f7c184c1681b9b09338c3c632ee880ea96a911602bebb1b321ca6f522
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
76cb37d01cf45fb06f63aeb156c3cd8af86087df797c60faa59fa973796fd6f4
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
8124af0b540a9bb400f1fde3acf5aac28cfff302d683799c873186ba1d59cdef
2018-04
1
vtflooder
train
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0
159aa50a2a9d9fa5b61c45f80861743ca0e0ef250786fe8143a325d181087dfb
2018-04
0
nan
train
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0
8d3f06aca2563c9eb25f4fb1b8c7117406fc33b5d115ad7b0456df2fa2ac2ee8
2018-04
0
nan
train
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1
a17aea7a91263eb5bffaa6c29a4bde4a44450b6a2fd53ce525dbfb8c652b53a3
2018-04
1
quant
train
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0.17577039 0.012521296 0.007383901 0.008412262 0.010963306 0.0040781377 0.003941317 0.003800083 0.013412836 0.0022509203 0.0025731109 0.0026349009 0.0076354747 0.0022111982 0.0016374341 0.01658178 0.008672663 0.0017124648 0.0019552112 0.0013946878 0.004082551 0.0036632624 0.0011342872 0.00082092383 0.0029615047 0.00142...
0
bdd06675050c74f6b9fb07bdf848867571c0e1378be54c06a3d0ad58dc951285
2018-04
0
nan
train
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0.066413395 0.0061806734 0.0038072949 0.00403804 0.007425049 0.0032881182 0.0031892275 0.0033046 0.004606662 0.0030820959 0.002983205 0.0032551547 0.004211099 0.0031068185 0.003312841 0.01037529 0.0036671995 0.0030161687 0.0030903367 0.0031150593 0.003312841 0.0033705272 0.0028925552 0.0031892275 0.0033210819 0.0034364...
1
b02b082728795a3d9438ed6186d767086783cb7aa267a4d9e816a0c5b1faac40
2018-04
1
vtflooder
train
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0.2022919 0.02446288 0.021670416 0.013605175 0.013984814 0.007457818 0.007311586 0.0031467942 0.0077924635 0.0016788526 0.0040804273 0.002252531 0.0014426322 0.0024690663 0.0012092239 0.004558493 0.0076068616 0.0016957255 0.0011979752 0.0011445445 0.0015663668 0.006954443 0.0005933633 0.0006777278 0.00496063 0.00273622...
0
9b4205d7636a1750831b815c388f6be619e80845223f9ec3d751eb3b5a225e87
2018-04
0
nan
train
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0.15529962 0.009656585 0.0056643607 0.0061660013 0.007817236 0.003825011 0.0033860754 0.003553289 0.008548795 0.0029680412 0.0028635329 0.0029053362 0.005559852 0.0033442718 0.0021319734 0.007357398 0.00443116 0.002654516 0.0020483665 0.0020065631 0.004326652 0.0080262525 0.0017975462 0.0015467257 0.002988943 0.0018811...
1
53feaed2494a4f6a077f9eda788fa95cccc9183a22860f532a5eea7b2b459eaa
2018-04
1
installmonster
train
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0.10773089 0.0070770555 0.005259334 0.004331396 0.00613996 0.004096359 0.0037529608 0.0032676246 0.005947657 0.005547789 0.0030768479 0.0025045176 0.0037834852 0.0034309297 0.0027807623 0.0035408172 0.0045465925 0.0022847427 0.002342739 0.002593038 0.003980367 0.005592049 0.0022603234 0.0026311935 0.003696491 0.0026891...
-1
98f1460253f79d72163e0dce9e1bd307ff3feb88340b18930e3e5c43b5896d77
2018-04
-1
nan
train
[ 0.18077731132507324, 0.012753641232848167, 0.007510427385568619, 0.00857360940426588, 0.011108890175819397, 0.0040709879249334335, 0.003971030469983816, 0.0037756594829261303, 0.013662343844771385, 0.002185429912060499, 0.002535280305892229, 0.002603433094918728, 0.00776486424729228, 0.002...
0.18077731 0.012753641 0.0075104274 0.008573609 0.01110889 0.004070988 0.0039710305 0.0037756595 0.013662344 0.00218543 0.0025352803 0.002603433 0.0077648642 0.0021945168 0.0015902297 0.016879153 0.00883259 0.0016220342 0.0018810144 0.0013221623 0.004107336 0.0036802457 0.0010677256 0.00074059266 0.0029169356 0.0013448...
0
467003dda28b0ec99faf17cfc9e612bebabf4267858611034781a33905f5719b
2018-04
0
nan
train
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0.34103426 0.0029323436 0.0026868742 0.0026887727 0.0027916685 0.0026948478 0.0024909545 0.0025349983 0.0027869225 0.002503484 0.0024919035 0.0024955107 0.0026251746 0.0025093693 0.002465895 0.0026760532 0.0026842165 0.0025080405 0.0024406456 0.0024442526 0.0026143536 0.002588155 0.0024311533 0.0024425439 0.0025553117 ...
1
495ae1da0b60c1f2b8f042bc5114dd3bb5e33eaa98c0b07fff2216f9d046cef1
2018-04
1
wannacry
train
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0.19636096 0.007924501 0.0050483802 0.0056227953 0.005335588 0.0042272094 0.00481376 0.003482897 0.0044820555 0.0034019935 0.0031875991 0.0031956895 0.0036770655 0.003139057 0.0028356689 0.0041422606 0.003596162 0.002908482 0.0027547653 0.003276593 0.0031795087 0.00400877 0.0026617262 0.0027224037 0.003050063 0.0026900...
1
69d866c5c9c2e89e29b21ed5181c3b7c5c7f83263ea9f2665456014e486a0abb
2018-04
1
downloadshield
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
de8e3f9b596731de75148759d8a439470f4d82cb7b475cecd0dada41c5f0ed20
2018-04
-1
vtflooder
train
[ 0.16774612665176392, 0.012148117646574974, 0.004925127141177654, 0.005160923581570387, 0.006321491673588753, 0.004194720648229122, 0.0030408017337322235, 0.002186870900914073, 0.006220984272658825, 0.0025374966207891703, 0.003642312716692686, 0.0023293206468224525, 0.003941789269447327, 0....
0.16774613 0.012148118 0.004925127 0.0051609236 0.0063214917 0.0041947206 0.0030408017 0.002186871 0.0062209843 0.0025374966 0.0036423127 0.0023293206 0.0039417893 0.0020582315 0.0019682094 0.0036305485 0.004510565 0.0017835619 0.0019922494 0.0015014758 0.002887355 0.0020582315 0.0017889326 0.0016247446 0.0023267632 0....
1
5d6637d7495a625d22ae52b36d6ddaabb3d667b595ca7498bb23195e4c330bee
2018-04
1
dinwod
train
[ 0.060336437076330185, 0.007437644526362419, 0.004859164357185364, 0.005534653551876545, 0.0058905561454594135, 0.0033556560520082712, 0.0032539693638682365, 0.004713897593319416, 0.0037406121846288443, 0.0036897689569741488, 0.003232179442420602, 0.003900405252352357, 0.003493659198284149, ...
0.060336437 0.0074376445 0.0048591644 0.0055346536 0.005890556 0.003355656 0.0032539694 0.0047138976 0.0037406122 0.003689769 0.0032321794 0.0039004053 0.0034936592 0.0031668094 0.0028544865 0.009144526 0.0033629192 0.003021543 0.0029343832 0.0035299757 0.004045672 0.0033266027 0.0027019568 0.0034936592 0.0031159662 0....
1
a6f56a83c689a13e5b4f7aaafee21f1291572b4a9d7d25a6df08095e21a0282d
2018-04
1
byfh
train
[ 0.015147012658417225, 0.002227923134341836, 0.0016720611602067947, 0.0013551930896937847, 0.0010794998379424214, 0.0007465198286809027, 0.0007017644238658249, 0.0006749111926183105, 0.001166325295343995, 0.0006659601349383593, 0.0006677503697574139, 0.0006471628439612687, 0.00094702397473156...
0.015147013 0.0022279231 0.0016720612 0.0013551931 0.0010794998 0.0007465198 0.0007017644 0.0006749112 0.0011663253 0.00066596013 0.00066775037 0.00064716284 0.000947024 0.0007304079 0.0006131488 0.0012629969 0.0016944389 0.0006050928 0.00087810063 0.000764422 0.0007160862 0.00066954055 0.00056391786 0.00057107874 0.00...
-1
929c6d7a89d244ad4db8206efe8831e37c2d84b33ca71c38d26db56ced4cf9dd
2018-04
-1
adposhel
train
[ 0.00934771541506052, 0.005718632601201534, 0.007937700487673283, 0.005879522301256657, 0.005108460783958435, 0.004307754337787628, 0.007596061564981937, 0.006277285050600767, 0.005544503219425678, 0.0039048108737915754, 0.006981860846281052, 0.004340565763413906, 0.0043411413207650185, 0.0...
0.009347715 0.0057186326 0.0079377005 0.0058795223 0.005108461 0.0043077543 0.0075960616 0.006277285 0.005544503 0.0039048109 0.006981861 0.0043405658 0.0043411413 0.0042162286 0.008249981 0.006178564 0.004652847 0.003543025 0.005983424 0.0039997906 0.0036572884 0.003653259 0.005992634 0.0044398624 0.004083545 0.002886...
1
230c2584e3768774754def5dbe1dbac5be20f1f846003e688dd94ecaadfa4dab
2018-04
1
installmonster
train
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0
57176f135c8690b06682109b2a1b8b93965cccc3562aaa75a5ad3da2398079f7
2018-04
0
nan
train
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1
1a6a5cc326a93718525e3841af676e4a75946cfceee96ed2bcede3ec1ab8081e
2018-04
1
vtflooder
train
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-1
f24f6b49509c08fc2ea3a3065cd51786fe66ed08e418b2265f261bfa91ba8d27
2018-04
-1
nan
train
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0
2a220c9f86a34fcfc102dbf0e137e7732107e154a4ba23f37418e2337b32ed9a
2018-04
0
nan
train
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1
f371702379e9d7f75c1c5982868154e559512bbdb72d7273e3c119dad3b4c987
2018-04
1
adposhel
train
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0
f2b504e6ef985bbeefd2098d95ce180342af6ed05e1816a1d810064f3d9ed265
2018-04
0
nan
train
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-1
7611c4ea8b360acdde5c7b6b3d1441e15242aed81de945e5eae1f56bf74cd33a
2018-04
-1
nan
train
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-1
53a078e8fb9fa46599bbd7663b10ee30a961b7ebdb04a9794172bb91ed66593f
2018-04
-1
nan
train
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1
f69c64eee121eef45d2a7ffe48bbb9ef22e7fd2455c6fe5dc308370daab63cf1
2018-04
1
vtflooder
train
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1
117c5c2055a63d1aa968892525a24740e43cc03b4ccf8bd3a44a22f9e117bea2
2018-04
1
gandcrab
train
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0
071ef512bfa30dd3f0c2df023fc233450080fd7652076b363adabee9f0c0783d
2018-04
0
nan
train
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-1
5257321f421af383f8a33d742a128aa9cb35ed3d9523a760c3bdb79416b68e57
2018-04
-1
vtflooder
train
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1
7f6d18f3c5fc258aefe1e1d6f3f0eec747d23910f111be78961025a812c71b52
2018-04
1
high
train
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-1
45dc1992b29a36a748ee03022e8c18a27f1002a68486313b3c08e65e7a3d0018
2018-04
-1
nan
train
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0
2d3b8e90d5ccf13e4e883a06ea3d7b18857d313b16be93799dfbd5b4e492908b
2018-04
0
nan
train
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1
c8a68ca97c2955f4d8c7d3507ad78c143efa484d344326c4f38cd89589d7a24b
2018-04
1
vtflooder
train
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-1
2ae16993adcf3be8797d79746e015adfb538dba38bd2eb051fe7a0f1f78cc89b
2018-04
-1
nan
train
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-1
71ee3946e5fc6749592573a4e26e02172f6f766adeec6be26585e75ed9160dd3
2018-04
-1
nan
train
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1
0e4546c862a2f464fc82f9db2290df0b72a14c767b2d0c6bc4d7878d5d56cb89
2018-04
1
scarsi
train
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0
29aabe5a9aafcdf47525e433a54d5642578f93d0021ec241764108e449721f5e
2018-04
0
nan
train
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0
9598659106f583b12f62d8749017624044cd9e49559c2f199c04dd38627c9d1b
2018-04
0
nan
train
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0
4c99fd329107f5403dcdb54330f87a9eae63a3c122c7088a56a3ce004c3168d7
2018-04
0
nan
train
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-1
63c266990d3d8fa3e26e713aea6121a54a251b71593f15f0f2c323ac5a232bb8
2018-04
-1
vtflooder
train
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0
acf73a82b50347e55787384ecfd1ed11ecceb6da4c6c79e02e6dd36594e1cc89
2018-04
0
nan
train
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1
7d54f580b7c6c8b3b1c704def20254563544f5ec0fd1769aa0d31bc3340c9efd
2018-04
1
byfh
train
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0
5c2e14c647c730f46872e62faca3b16091e58202d7a98cc79a8b0a9294c3ac59
2018-04
0
nan
train
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1
033fa44035b47c8cfc72c65c9be682f517605e108808d527c31ece526e9911ae
2018-04
1
vtflooder
train
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1
668f93f221e0c35f35236e111438c6d03bc55cacc36b511ebe9960532b3fa1d5
2018-04
1
vtflooder
train
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0
46de5e4be82d2ad2dc3727a1991eda44945a9678b58d45f66eb7c3e7b9cc1e9d
2018-04
0
nan
train
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-1
b72bba8f810d3cb3dc1f99376b8bcb59480b6954878f42658fec77afb361a4a6
2018-04
-1
zusy
train
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-1
78365106f832c7331ca50fca1b36e541c3896112e8a9e8b30da68cc594050ee6
2018-04
-1
wannacry
train