x
listlengths
2.38k
2.38k
input
stringlengths
9.84k
15.9k
y
float64
-1
1
sha256
stringlengths
64
64
appeared
stringclasses
50 values
label
stringclasses
3 values
avclass
stringlengths
3
26
subset
stringclasses
1 value
[ 0.1599392294883728, 0.009379109367728233, 0.005263549741357565, 0.004904000088572502, 0.00810912810266018, 0.003162752604112029, 0.002054569311439991, 0.0027595434803515673, 0.00846225768327713, 0.002254889812320471, 0.0020828195847570896, 0.0017784866504371166, 0.004001273773610592, 0.001...
0.15993923 0.009379109 0.0052635497 0.004904 0.008109128 0.0031627526 0.0020545693 0.0027595435 0.008462258 0.0022548898 0.0020828196 0.0017784867 0.004001274 0.0017528045 0.0013316178 0.0038407606 0.006529678 0.00121348 0.001078649 0.0008333847 0.00281476 0.0016192575 0.0007755999 0.0007049741 0.0024205395 0.000702405...
-1
e52d99f82563605f78c29060cc4853a506b8466d673f110764ff5c1efcf43680
2018-04
-1
neshta
train
[ 0.012654967606067657, 0.003364636329934001, 0.003447536379098892, 0.0034895390272140503, 0.0037946111988276243, 0.0035403845831751823, 0.003663076553493738, 0.0035039084032177925, 0.003679656656458974, 0.003865352598950267, 0.003909565974026918, 0.0036984472535550594, 0.0038145072758197784, ...
0.012654968 0.0033646363 0.0034475364 0.003489539 0.0037946112 0.0035403846 0.0036630766 0.0035039084 0.0036796567 0.0038653526 0.003909566 0.0036984473 0.0038145073 0.003810086 0.0036884993 0.0035812818 0.0038045594 0.004145002 0.003949358 0.0039117765 0.004143897 0.0038111913 0.0038111913 0.0037725046 0.0039582006 0....
0
bf7fe72e0c05d5aeecbb84290382e07a6ce8f8e7b46f6633b48d36eb672cf8ef
2018-04
0
nan
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010533851571381092, 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 0.010533852 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
05a5201886e597b32ba93ac83d857608456a35f2117ded53f2fa44fe686090fa
2018-04
-1
vtflooder
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
2eab53e4320cc05a9e687c7367ace1b66494a60abdf4906b17bfde8c83108124
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, 0.004602168221026659, 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 0.004602168 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
4637d607ee2c3e12bdfafeeec6c8b6e482ad1853615c593d8e94a2d984efd8a0
2018-04
1
vtflooder
train
[ 0.16220395267009735, 0.007498106919229031, 0.003992739599198103, 0.0034682173281908035, 0.0064216419123113155, 0.002537698484957218, 0.00213524024002254, 0.0018928806530311704, 0.007125722710043192, 0.0017681628232821822, 0.0015222652582451701, 0.0012834438821300864, 0.005042669363319874, ...
0.16220395 0.007498107 0.0039927396 0.0034682173 0.006421642 0.0025376985 0.0021352402 0.0018928807 0.0071257227 0.0017681628 0.0015222653 0.0012834439 0.0050426694 0.0015337641 0.0010570058 0.0068603656 0.0046428647 0.0015010367 0.0011525344 0.0010490451 0.002594308 0.0024580914 0.00092874985 0.0006129749 0.002068901 ...
-1
deab50e7d152ffcda0bb8069e475da11e9096438f7f9ecbdc3cd810b21f50271
2018-04
-1
zusy
train
[ 0.15536700189113617, 0.009655576199293137, 0.005621969699859619, 0.00616535684093833, 0.007816419005393982, 0.0036992141976952553, 0.0033857214730232954, 0.003573817200958729, 0.008589700795710087, 0.0029050325974822044, 0.002779635600745678, 0.0030095302499830723, 0.005705567542463541, 0....
0.155367 0.009655576 0.0056219697 0.006165357 0.007816419 0.0036992142 0.0033857215 0.0035738172 0.008589701 0.0029050326 0.0027796356 0.0030095302 0.0057055675 0.003239425 0.0020899514 0.00733573 0.004660592 0.0026960375 0.0020063533 0.001943655 0.0044097975 0.0080045145 0.0019018559 0.0014420665 0.0029468315 0.001692...
1
c704c5349707812519f85efaaf339668cb19f99b179304e128763dd806ddd15e
2018-04
1
installmonster
train
[ 0.05452001094818115, 0.0071653700433671474, 0.004530680365860462, 0.003919202834367752, 0.005339144263416529, 0.0037345283199101686, 0.00370990508235991, 0.0038494369946420193, 0.0051011196337640285, 0.0035498538054525852, 0.003714008955284953, 0.003426737617701292, 0.0041941627860069275, ...
0.05452001 0.00716537 0.0045306804 0.003919203 0.0053391443 0.0037345283 0.003709905 0.003849437 0.0051011196 0.0035498538 0.003714009 0.0034267376 0.004194163 0.0035621654 0.0036237238 0.0038740602 0.004280344 0.0035703734 0.003414426 0.0034841918 0.00407515 0.0046332777 0.003352868 0.0032256476 0.0042105783 0.0033733...
0
7c681e930e100281a187709e645586f4978a978e6edab82de6b830cc2779fd88
2018-04
0
nan
train
[ 0.2987109422683716, 0.0183426346629858, 0.021378347650170326, 0.0062053571455180645, 0.008604911155998707, 0.004687500186264515, 0.008470982313156128, 0.0040904018096625805, 0.006439731922000647, 0.003543526865541935, 0.005853794515132904, 0.001830357126891613, 0.003119419561699033, 0.0028...
0.29871094 0.018342635 0.021378348 0.006205357 0.008604911 0.0046875 0.008470982 0.004090402 0.006439732 0.0035435269 0.0058537945 0.0018303571 0.0031194196 0.0028850446 0.0030078124 0.0020424107 0.023800224 0.0040513393 0.004123884 0.002360491 0.0024107143 0.0038783483 0.0017299107 0.0015401785 0.0028404018 0.00202566...
0
c04f1d69fc67a4fe6d368d179781213f4d4301ae7a5a301a2014ea32322b69b4
2018-04
0
nan
train
[ 0.25763386487960815, 0.011653249152004719, 0.005531869363039732, 0.004442168399691582, 0.0070145768113434315, 0.005144817288964987, 0.0022449027746915817, 0.002849299693480134, 0.005320479162037373, 0.0025515672750771046, 0.0020722178742289543, 0.001708984375, 0.0031619188375771046, 0.0024...
0.25763386 0.011653249 0.0055318694 0.0044421684 0.007014577 0.0051448173 0.0022449028 0.0028492997 0.005320479 0.0025515673 0.0020722179 0.0017089844 0.0031619188 0.002494998 0.0022865853 0.0030845085 0.0049244952 0.0018518959 0.0015214129 0.0012028392 0.0055527105 0.0024890434 0.00114627 0.0015809594 0.0022776534 0.0...
-1
012cff853add1812af9727146ac932b1140aff528bc4aa099e60262c1ae531ef
2018-04
-1
nan
train
[ 0.22485513985157013, 0.05900765582919121, 0.0038027730770409107, 0.0022118170745670795, 0.004190811421722174, 0.002871481701731682, 0.0021988824009895325, 0.005264383275061846, 0.006467301398515701, 0.0009959643939509988, 0.0017849751748144627, 0.0008019453380256891, 0.005639486946165562, ...
0.22485514 0.059007656 0.003802773 0.002211817 0.0041908114 0.0028714817 0.0021988824 0.0052643833 0.0064673014 0.0009959644 0.0017849752 0.00080194534 0.005639487 0.001823779 0.0008924876 0.0032077814 0.005471337 0.004643522 0.0036346233 0.0036087541 0.004785803 0.008640314 0.0006467301 0.0005173841 0.0014874793 0.000...
-1
7087faee2ad6dfd61e06effbbbf23c74ae63105649173b30468d145e48fbab81
2018-04
-1
nan
train
[ 0.04225010797381401, 0.003253206145018339, 0.001608912949450314, 0.002865793416276574, 0.0031904063653200865, 0.0007261778810061514, 0.0009663207456469536, 0.0011056301882490516, 0.004580404609441757, 0.0011701988987624645, 0.0009048476931639016, 0.0013227758463472128, 0.0016106819966807961,...
0.042250108 0.0032532061 0.001608913 0.0028657934 0.0031904064 0.0007261779 0.00096632075 0.0011056302 0.0045804046 0.0011701989 0.0009048477 0.0013227758 0.001610682 0.00047188293 0.00035335938 0.0011949651 0.0025615238 0.0004510971 0.0014032657 0.0011958495 0.0031156656 0.0013723081 0.0007407722 0.00075757777 0.00202...
1
37e9c288b92bcaac7c5ec1ada85ffebe35e3d483c215d7950545231e2d69c231
2018-04
1
fareit
train
[ 0.5964519381523132, 0.008173950016498566, 0.007776841055601835, 0.0026533324271440506, 0.004116960801184177, 0.0018104901537299156, 0.0077979122288525105, 0.0019498832989484072, 0.0018558739684522152, 0.0013128890423104167, 0.006745980121195316, 0.0021006225142627954, 0.001455523888580501, ...
0.59645194 0.00817395 0.007776841 0.0026533324 0.004116961 0.0018104902 0.007797912 0.0019498833 0.001855874 0.001312889 0.00674598 0.0021006225 0.0014555239 0.0019790586 0.001432832 0.0014295903 0.0014830783 0.0016127464 0.0011037993 0.0017667272 0.0009092972 0.0009644061 0.0013064056 0.0017618646 0.0010600364 0.00095...
-1
4b0e8f99cc6813b69f7fdadd6f32469fddf3ad6ccf3a1c6f80a80249ef87c2d6
2018-04
-1
nan
train
[ 0.0899701938033104, 0.01212969608604908, 0.006480310577899218, 0.007491871248930693, 0.010655256919562817, 0.004601697903126478, 0.004380418919026852, 0.003136289771646261, 0.013123193755745888, 0.002770502120256424, 0.0024792267940938473, 0.002510838210582733, 0.008936958387494087, 0.0024...
0.089970194 0.012129696 0.0064803106 0.0074918712 0.010655257 0.004601698 0.004380419 0.0031362898 0.013123194 0.0027705021 0.0024792268 0.0025108382 0.008936958 0.002465679 0.00243181 0.010228504 0.006995123 0.0022105312 0.002465679 0.0023143967 0.004644599 0.0045813764 0.0019892522 0.0019689307 0.003391438 0.00184700...
-1
31927125f8de4af581f137a604554ca0b49b7db893589ee2d019d552c81c0e20
2018-04
-1
nan
train
[ 0.1349450796842575, 0.012321798130869865, 0.005295973736792803, 0.0045343381352722645, 0.01839192770421505, 0.011735443025827408, 0.00934620387852192, 0.0015441372524946928, 0.008190187625586987, 0.0015316172502934933, 0.001024555996991694, 0.0007032084395177662, 0.007516192737966776, 0.00...
0.13494508 0.012321798 0.0052959737 0.004534338 0.018391928 0.011735443 0.009346204 0.0015441373 0.008190188 0.0015316173 0.001024556 0.00070320844 0.0075161927 0.0017194177 0.00053418806 0.002437233 0.032564603 0.003601596 0.0021972656 0.0005967882 0.008409288 0.0012666099 0.00087640225 0.0005675748 0.0075412327 0.001...
0
ef9b47d3cfe80e87307d3fca1256e671a9a47046a3b04da705d9ac69dde8fec4
2018-04
0
nan
train
[ 0.1643827259540558, 0.01833346299827099, 0.009147176519036293, 0.009262065403163433, 0.011339858174324036, 0.01638278365135193, 0.004881590139120817, 0.0025789071805775166, 0.007580276113003492, 0.0015913445968180895, 0.0022097935434430838, 0.0017453457694500685, 0.0025666849687695503, 0.0...
0.16438273 0.018333463 0.0091471765 0.009262065 0.011339858 0.016382784 0.00488159 0.0025789072 0.007580276 0.0015913446 0.0022097935 0.0017453458 0.002566685 0.00735783 0.001830902 0.012224753 0.007585165 0.002197571 0.0016671229 0.0015620111 0.0018137906 0.005944931 0.0014006767 0.0011831195 0.0048229233 0.0018040128...
0
29d791e3d43ab872118fc09de593e1822d1bbc39649cd7c5b8e22d154fa3bb41
2018-04
0
nan
train
[ 0.7060546875, 0.0146484375, 0.005859375, 0.001953125, 0.0068359375, 0.0029296875, 0, 0, 0.0009765625, 0.001953125, 0.0009765625, 0.0009765625, 0, 0.0029296875, 0.001953125, 0, 0.01171875, 0.0009765625, 0.0009765625, 0, 0, 0.0009765625, 0, 0, 0, 0, 0, 0, 0.0009...
0.7060547 0.0146484375 0.005859375 0.001953125 0.0068359375 0.0029296875 0.0 0.0 0.0009765625 0.001953125 0.0009765625 0.0009765625 0.0 0.0029296875 0.001953125 0.0 0.01171875 0.0009765625 0.0009765625 0.0 0.0 0.0009765625 0.0 0.0 0.0 0.0 0.0 0.0 0.0009765625 0.0009765625 0.0 0.0009765625 0.009765625 0.001953125 0.0 0....
0
084974412cc7731810e9f283b6cb131de59b119ca3428233885952c68cbdfb92
2018-04
0
nan
train
[ 0.549014151096344, 0.0045572915114462376, 0.0025111606810241938, 0.0007440476329065859, 0.005301339086145163, 0.00009300595411332324, 0.00037202381645329297, 0.00018601190822664648, 0.00037202381645329297, 0.00027901786961592734, 0.0006510416860692203, 0.00018601190822664648, 0.0015811012126...
0.54901415 0.0045572915 0.0025111607 0.00074404763 0.005301339 9.3005954e-05 0.00037202382 0.00018601191 0.00037202382 0.00027901787 0.0006510417 0.00018601191 0.0015811012 0.0006510417 0.0006510417 0.00018601191 0.0017671131 9.3005954e-05 9.3005954e-05 0.00027901787 9.3005954e-05 9.3005954e-05 9.3005954e-05 9.3005954e...
0
5c650a942c9a244392c6518aa92d1e198d1bfd7f112fba2e44cad4c1a04223c2
2018-04
0
nan
train
[ 0.008625385351479053, 0.0036738005001097918, 0.0037480744067579508, 0.00370268477126956, 0.003879428841173649, 0.003930320031940937, 0.00386567460373044, 0.0035995268262922764, 0.0037487621884793043, 0.00392756937071681, 0.003969520330429077, 0.0039420113898813725, 0.0038766779471188784, 0...
0.008625385 0.0036738005 0.0037480744 0.0037026848 0.0038794288 0.00393032 0.0038656746 0.0035995268 0.0037487622 0.0039275694 0.0039695203 0.0039420114 0.003876678 0.0039268816 0.0038560464 0.0037212532 0.0037934638 0.0038753026 0.0039371974 0.0038663622 0.0037886498 0.004105689 0.0039956537 0.003891808 0.0038312885 0...
0
f29e934db83e6b37712e4f35929463d59e03eaa6c20afc7a64476321efbed26f
2018-04
0
nan
train
[ 0.06033092737197876, 0.00743786059319973, 0.004852041602134705, 0.005534814205020666, 0.005890727508813143, 0.0033557533752173185, 0.00325406389310956, 0.004706771112978458, 0.0037407209165394306, 0.0036898760590702295, 0.0032322732731699944, 0.0039005186408758163, 0.0034937607124447823, 0...
0.060330927 0.0074378606 0.0048520416 0.005534814 0.0058907275 0.0033557534 0.003254064 0.004706771 0.003740721 0.003689876 0.0032322733 0.0039005186 0.0034937607 0.003159638 0.0028545696 0.009144791 0.003363017 0.003021631 0.0029344684 0.003537342 0.0040385257 0.0033266994 0.0027020352 0.0034937607 0.0031160568 0.0034...
1
210c207514f18280372946d916fcf03a97488a24c6d448220d6a9e1673b2ce25
2018-04
1
byfh
train
[ 0.016363466158509254, 0.0037915967404842377, 0.003534097922965884, 0.003853078233078122, 0.0037872567772865295, 0.0036939496640115976, 0.003707692725583911, 0.003939875401556492, 0.00412070332095027, 0.003627405036240816, 0.0037185424007475376, 0.0036563375033438206, 0.0038595879450440407, ...
0.016363466 0.0037915967 0.003534098 0.0038530782 0.0037872568 0.0036939497 0.0037076927 0.0039398754 0.0041207033 0.003627405 0.0037185424 0.0036563375 0.003859588 0.0039116666 0.0038096795 0.0041308296 0.004042586 0.0036151088 0.0035254182 0.0034284946 0.0037590477 0.0036346382 0.0037127559 0.0036975662 0.003880564 0...
0
3c21c19a78d0bd214a3964a5b8cbe0663e1ebb78fc53a90d6117b91d6760d28f
2018-04
0
nan
train
[ 0.17594574391841888, 0.0094121303409338, 0.010913271456956863, 0.006685343105345964, 0.009969242848455906, 0.0029324903152883053, 0.0030157510191202164, 0.002513738116249442, 0.009769661352038383, 0.0029312658589333296, 0.005153591278940439, 0.0019651970360428095, 0.00415079016238451, 0.00...
0.17594574 0.00941213 0.010913271 0.006685343 0.009969243 0.0029324903 0.003015751 0.002513738 0.009769661 0.0029312659 0.0051535913 0.001965197 0.00415079 0.0020349892 0.0016615405 0.005671522 0.005503776 0.0019664215 0.0012660521 0.0014839993 0.0028124969 0.0021819198 0.0012342172 0.0011876891 0.0025565927 0.00101382...
0
f25a9c1df4f8a0be82461d779e154f11cc464292ba3566d1c71d9f97517807a0
2018-04
0
nan
train
[ 0.21266332268714905, 0.003305159043520689, 0.0030744881369173527, 0.003175511956214905, 0.003194032935425639, 0.0031889816746115685, 0.003042497206479311, 0.0030054552480578423, 0.003094692947342992, 0.003153623314574361, 0.0030761719681322575, 0.0030744881369173527, 0.0031367861665785313, ...
0.21266332 0.003305159 0.0030744881 0.003175512 0.003194033 0.0031889817 0.0030424972 0.0030054552 0.003094693 0.0031536233 0.003076172 0.0030744881 0.0031367862 0.0029061153 0.0029364224 0.003397764 0.0030744881 0.0030610184 0.002970097 0.00302566 0.0032159213 0.0030340787 0.0028421336 0.002933055 0.0031586746 0.00299...
1
05455bea5360ac32574df272ac3cb4e6605bd68a521f9a11b70e7f283251f8a0
2018-04
1
qbot
train
[ 0.16220395267009735, 0.007498106919229031, 0.003992739599198103, 0.0034682173281908035, 0.0064216419123113155, 0.002537698484957218, 0.00213524024002254, 0.0018928806530311704, 0.007125722710043192, 0.0017681628232821822, 0.0015222652582451701, 0.0012834438821300864, 0.005042669363319874, ...
0.16220395 0.007498107 0.0039927396 0.0034682173 0.006421642 0.0025376985 0.0021352402 0.0018928807 0.0071257227 0.0017681628 0.0015222653 0.0012834439 0.0050426694 0.0015337641 0.0010570058 0.0068603656 0.0046428647 0.0015010367 0.0011525344 0.0010490451 0.002594308 0.0024580914 0.00092874985 0.0006129749 0.002068901 ...
1
93b8e227b9a048562fce2e382911f4b48f25f86f619154869a98fb374d6eb65b
2018-04
1
zusy
train
[ 0.2863517701625824, 0.024298176169395447, 0.028224579989910126, 0.016013426706194878, 0.02008778043091297, 0.008003506809473038, 0.01988898776471615, 0.007342998869717121, 0.008356663398444653, 0.00536834541708231, 0.014547208324074745, 0.0038705221377313137, 0.0031362681183964014, 0.00290...
0.28635177 0.024298176 0.02822458 0.016013427 0.02008778 0.008003507 0.019888988 0.007342999 0.008356663 0.0053683454 0.014547208 0.0038705221 0.0031362681 0.0029017464 0.0040207626 0.0021244357 0.0039099143 0.0077772303 0.0095443865 0.0048571615 0.0028183814 0.0047261594 0.0041609257 0.0038993792 0.0029104494 0.002189...
0
ff483340b902b867054a14de1b77fa66c0b4f9296a3573471106b398ae642e81
2018-04
0
nan
train
[ 0.17308339476585388, 0.012031104415655136, 0.00521570909768343, 0.007491105701774359, 0.010662412270903587, 0.004287416581064463, 0.0034497943706810474, 0.0031389244832098484, 0.01001692470163107, 0.0032576594967395067, 0.0021652965806424618, 0.001558668096549809, 0.0065347482450306416, 0....
0.1730834 0.012031104 0.005215709 0.0074911057 0.010662412 0.0042874166 0.0034497944 0.0031389245 0.010016925 0.0032576595 0.0021652966 0.0015586681 0.0065347482 0.0018544265 0.0017745501 0.011601499 0.0048379158 0.0011851923 0.001163604 0.0015046976 0.0031518773 0.0021760906 0.001977479 0.0010686159 0.0029273601 0.001...
0
9af3f0aab40fe1822a6349a63a8f6f42866a022599b0b46be27659576372f30c
2018-04
0
nan
train
[ 0.17977596819400787, 0.016421224921941757, 0.01765100657939911, 0.0077930623665452, 0.011124680750072002, 0.0036575414706021547, 0.0036963128950446844, 0.003191678086295724, 0.011859823949635029, 0.0020518579985946417, 0.0022953911684453487, 0.001688678516075015, 0.004834315739572048, 0.00...
0.17977597 0.016421225 0.017651007 0.0077930624 0.011124681 0.0036575415 0.003696313 0.003191678 0.011859824 0.002051858 0.0022953912 0.0016886785 0.0048343157 0.0016075008 0.0015996253 0.004208823 0.0074407873 0.0016907989 0.0019864312 0.0010183564 0.0051347944 0.0016359736 0.00088053604 0.0009468716 0.0026237369 0.00...
1
9cc1e9599da879d3af2b31c6a6d85adcc795bd9b968213298c9ee51f94a00829
2018-04
1
delf
train
[ 0.035249534994363785, 0.006716418080031872, 0.00616837665438652, 0.005054804030805826, 0.00504314387217164, 0.004034515004605055, 0.0055037313140928745, 0.004786613862961531, 0.003853777889162302, 0.004600046668201685, 0.0063199629075825214, 0.003947061486542225, 0.004040345083922148, 0.00...
0.035249535 0.006716418 0.0061683767 0.005054804 0.005043144 0.004034515 0.0055037313 0.004786614 0.003853778 0.0046000467 0.006319963 0.0039470615 0.004040345 0.0039004197 0.004640858 0.0045708953 0.0033523787 0.0038421175 0.004582556 0.0041569495 0.003439832 0.0035331156 0.00286264 0.0037313432 0.0041394588 0.0039237...
-1
499fcfaaa37fc3c2c9aebc12fedfe6405276bdc2cf3734092142a36915f251b6
2018-04
-1
nan
train
[ 0.3234606087207794, 0.007065318990498781, 0.0032519183587282896, 0.0036028448957949877, 0.006082725245505571, 0.0027606214862316847, 0.003930376376956701, 0.0014037057990208268, 0.00397716648876667, 0.0016844469355419278, 0.0015674714231863618, 0.001076174434274435, 0.002900992054492235, 0...
0.3234606 0.007065319 0.0032519184 0.003602845 0.0060827252 0.0027606215 0.0039303764 0.0014037058 0.0039771665 0.0016844469 0.0015674714 0.0010761744 0.002900992 0.0020353734 0.00088901364 0.0020119783 0.013756317 0.00081882835 0.00088901364 0.0010527794 0.0013803107 0.0020353734 0.00049129705 0.0005146921 0.001380310...
0
0dcf4f1129161eaf5baa5fcabb4cb71930ea10a3773321573051341b5abac59b
2018-04
0
nan
train
[ 0.72412109375, 0.00341796875, 0.0013671874767169356, 0.0011718750465661287, 0.0024902343284338713, 0.0004394531133584678, 0.0009765625, 0.0015136718284338713, 0.0018554687267169356, 0.0006835937383584678, 0.0004394531133584678, 0.0030761719681322575, 0.0009765625, 0.0003417968691792339, ...
0.7241211 0.0034179688 0.0013671875 0.001171875 0.0024902343 0.0004394531 0.0009765625 0.0015136718 0.0018554687 0.00068359374 0.0004394531 0.003076172 0.0009765625 0.00034179687 0.0005859375 0.0040527345 0.0063964846 0.0007324219 0.00024414062 0.0001953125 0.00029296876 0.0014648438 0.0001953125 0.00024414062 0.000585...
0
73727d2c6be5ff3b3bf870bc6d0c608bb03d364f11fe9833ec34a82a355b3f77
2018-04
0
nan
train
[ 0.266789972782135, 0.004116607829928398, 0.0011395454639568925, 0.0012962330365553498, 0.001505827996879816, 0.000525004870723933, 0.0007162857218645513, 0.0010357653954997659, 0.0007752979290671647, 0.0003723871777765453, 0.0008261704933829606, 0.0106079475954175, 0.0006511688698083162, 0...
0.26678997 0.004116608 0.0011395455 0.001296233 0.001505828 0.00052500487 0.0007162857 0.0010357654 0.0007752979 0.00037238718 0.0008261705 0.010607948 0.00065116887 0.00048023704 0.00040291072 0.00051483035 0.0006796575 0.00027267696 0.00043343427 0.0003744221 0.00034593345 0.00023604871 0.00032558443 0.0043730056 0.0...
0
748a0211f90637a73e2d29f47a3d3d8a7334914127360712e8bb5514f83d17b5
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
485af7b14b9711bba1751412af05d7861da63eb893c5b59811b8acd9b51ec7ed
2018-04
1
vtflooder
train
[ 0.1557256430387497, 0.008815741166472435, 0.0063873156905174255, 0.010759136639535427, 0.01806735433638096, 0.008201261050999165, 0.013862671330571175, 0.005043652839958668, 0.017433209344744682, 0.001499331439845264, 0.001515717594884336, 0.0009766137227416039, 0.006954276002943516, 0.002...
0.15572564 0.008815741 0.0063873157 0.010759137 0.018067354 0.008201261 0.013862671 0.005043653 0.01743321 0.0014993314 0.0015157176 0.0009766137 0.006954276 0.0026365293 0.001233876 0.004003133 0.008116053 0.0024611976 0.0010667375 0.00091598503 0.004689712 0.0047634495 0.0010634603 0.0010667375 0.004368544 0.00110770...
0
b337fa6261f1167c1eef742bc57d6956c759d9972a264499c1597aedfa79fe08
2018-04
0
nan
train
[ 0.21308863162994385, 0.013098088093101978, 0.008282779715955257, 0.009025327861309052, 0.01451005320996046, 0.004325902089476585, 0.0032728344667702913, 0.0031603272072970867, 0.01236791629344225, 0.002394153270870447, 0.0025381625164300203, 0.0031085738446563482, 0.009152460843324661, 0.0...
0.21308863 0.013098088 0.00828278 0.009025328 0.014510053 0.004325902 0.0032728345 0.0031603272 0.012367916 0.0023941533 0.0025381625 0.0031085738 0.009152461 0.0025854155 0.0018766201 0.007018199 0.00836491 0.0019103723 0.0010586928 0.0015762259 0.0053834696 0.0031344506 0.0020532564 0.0010980703 0.0042347712 0.001605...
1
3333970fa130b8caa32d064741ca3ebdfa7148605ea6193629286e6ae7d8ac0e
2018-04
1
ursu
train
[ 0.01358869206160307, 0.008343578316271305, 0.006718105170875788, 0.005682305432856083, 0.004764440469443798, 0.004111034795641899, 0.0038924389518797398, 0.003821559017524123, 0.0039031601045280695, 0.0037596134934574366, 0.003891247557476163, 0.003701241686940193, 0.00380190322175622, 0.0...
0.013588692 0.008343578 0.006718105 0.0056823054 0.0047644405 0.004111035 0.003892439 0.003821559 0.00390316 0.0037596135 0.0038912476 0.0037012417 0.0038019032 0.0038739743 0.0037578265 0.0038191765 0.0038078595 0.0037935644 0.0036649085 0.0038257283 0.003826324 0.003695881 0.0037292363 0.0037423403 0.0036649085 0.003...
1
33b9468f2329b6bd0d2a7b7f9b0d314f26affb66bb73f605ae9a03f2417ae3f0
2018-04
1
installcore
train
[ 0.654296875, 0.01692708395421505, 0.0078125, 0.0032552082557231188, 0.005859375, 0.0022786457557231188, 0.001953125, 0.0016276041278615594, 0.0026041667442768812, 0.0013020833721384406, 0.014973958022892475, 0.0013020833721384406, 0.0016276041278615594, 0.00390625, 0.0022786457557231188,...
0.6542969 0.016927084 0.0078125 0.0032552083 0.005859375 0.0022786458 0.001953125 0.0016276041 0.0026041667 0.0013020834 0.014973958 0.0013020834 0.0016276041 0.00390625 0.0022786458 0.00032552084 0.0035807292 0.0032552083 0.00032552084 0.0029296875 0.0 0.0 0.00032552084 0.0006510417 0.0006510417 0.0009765625 0.0 0.000...
0
0933429caba696f21d24f39f6f320d11d800dec95659eaf9f001d0bc0d22bc22
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
05d2e8c7ae7987112c339a1958f571a3ee7ff9411bd7b5270044c836236b9f21
2018-04
1
vtflooder
train
[ 0.181282177567482, 0.012780790217220783, 0.0074998862110078335, 0.008561534807085991, 0.011131362058222294, 0.004064336884766817, 0.0039732083678245544, 0.003777281614020467, 0.013705745339393616, 0.00219164346344769, 0.0025379322469234467, 0.0026199480053037405, 0.007782384753227234, 0.00...
0.18128218 0.01278079 0.007499886 0.008561535 0.011131362 0.004064337 0.0039732084 0.0037772816 0.013705745 0.0021916435 0.0025379322 0.002619948 0.0077823848 0.0021734177 0.0015993074 0.016949926 0.008862259 0.0016220895 0.001890919 0.001298583 0.004119014 0.0036679273 0.001066205 0.0007108033 0.0029343418 0.001325921...
0
3fe2c38fd718548e6934fbbc9c91834750663d12d1e839c1741a0d968136f557
2018-04
0
nan
train
[ 0.10663177073001862, 0.004751456435769796, 0.004061712883412838, 0.0046156723983585835, 0.0045418767258524895, 0.0035156249068677425, 0.00396135076880455, 0.005109610967338085, 0.004035146441310644, 0.0039052660576999187, 0.0033581943716853857, 0.004135508555918932, 0.003980045672506094, 0...
0.10663177 0.0047514564 0.004061713 0.0046156724 0.0045418767 0.003515625 0.003961351 0.005109611 0.0040351464 0.003905266 0.0033581944 0.0041355086 0.0039800457 0.0035097213 0.004638303 0.003857053 0.0033345798 0.003313917 0.0035294 0.0029360831 0.0028465444 0.0030384131 0.003380825 0.0026773063 0.00394364 0.003656328...
-1
0b1fd1a74fd9cc7268fb37e177b790d5b3e77b7aff5988cbf84e1a19a668fa89
2018-04
-1
nan
train
[ 0.4070407748222351, 0.008009685203433037, 0.006132067646831274, 0.00690211309120059, 0.009137468412518501, 0.006944556720554829, 0.002281840657815337, 0.004517195746302605, 0.007783320266753435, 0.0017401814693585038, 0.0015744498232379556, 0.0015704076504334807, 0.004915355704724789, 0.00...
0.40704077 0.008009685 0.0061320676 0.006902113 0.009137468 0.0069445567 0.0022818407 0.0045171957 0.0077833203 0.0017401815 0.0015744498 0.0015704077 0.0049153557 0.00161083 0.0012328811 0.0077348133 0.019370383 0.0008003622 0.0007417498 0.0009155658 0.0027628664 0.0015097741 0.0017947516 0.00072355976 0.0020817502 0....
0
ca28d102cf1b790fd4c91c75c10b19d8954bba22a18fb479a36caa6826f3ec0d
2018-04
0
nan
train
[ 0.218684121966362, 0.025869641453027725, 0.015196767635643482, 0.012693253345787525, 0.015504216775298119, 0.006500351242721081, 0.015987351536750793, 0.005841531790792942, 0.006632115226238966, 0.0071152495220303535, 0.011287772096693516, 0.0053144763223826885, 0.0038211524952203035, 0.00...
0.21868412 0.025869641 0.015196768 0.012693253 0.015504217 0.0065003512 0.015987352 0.005841532 0.006632115 0.0071152495 0.011287772 0.0053144763 0.0038211525 0.005050949 0.0034697822 0.0016250878 0.003294097 0.002547435 0.0047434997 0.004040759 0.0027231202 0.0018886155 0.0035576248 0.0031184119 0.0016690091 0.0013615...
0
a718fbafacbbcc96f7f6a7111e8a93580ccb1ac7d72a020b7b980e5da766c5e8
2018-04
0
nan
train
[ 0.20947295427322388, 0.014050206169486046, 0.007103159558027983, 0.00772761320695281, 0.010241039097309113, 0.004137005191296339, 0.006166479550302029, 0.0031847134232521057, 0.011521168984472752, 0.0032315473072230816, 0.003247158834710717, 0.0018577494192868471, 0.00654115155339241, 0.00...
0.20947295 0.014050206 0.0071031596 0.007727613 0.010241039 0.004137005 0.0061664796 0.0031847134 0.011521169 0.0032315473 0.0032471588 0.0018577494 0.0065411516 0.0033408268 0.001607968 0.00629137 0.007602723 0.0012489072 0.0009835145 0.0018733608 0.0037311104 0.0036530537 0.0016391907 0.0013269639 0.0022636442 0.0013...
-1
5d06d6b92d406d388814bd033f0f37d71bccb3655396ebfe3a5064a7fb5b3a5c
2018-04
-1
nan
train
[ 0.12093403935432434, 0.01424497365951538, 0.008400158025324345, 0.006960131227970123, 0.008456629700958729, 0.0066495370119810104, 0.01139315590262413, 0.0046165576204657555, 0.004771854728460312, 0.004362435080111027, 0.01776033453643322, 0.0024565167259424925, 0.0019623897969722748, 0.01...
0.12093404 0.014244974 0.008400158 0.006960131 0.00845663 0.006649537 0.011393156 0.0046165576 0.0047718547 0.004362435 0.017760335 0.0024565167 0.0019623898 0.010856675 0.0038118365 0.0011859047 0.0023294557 0.0048142085 0.0055624577 0.0046447935 0.0023435736 0.002767111 0.0021882765 0.0018918003 0.0015388525 0.001171...
0
04ebde7dd9d0c8da6bf9c21845372664fefe9f49559c2b6aae45dc41edc760b0
2018-04
0
nan
train
[ 0.0450606569647789, 0.004864195361733437, 0.0043022907339036465, 0.003391735255718231, 0.0047084866091609, 0.0035609835758805275, 0.0042481315322220325, 0.0033578856382519007, 0.004529083613306284, 0.00351020903326571, 0.004065343178808689, 0.0035406737588346004, 0.0032969561871141195, 0.0...
0.045060657 0.0048641954 0.0043022907 0.0033917353 0.0047084866 0.0035609836 0.0042481315 0.0033578856 0.0045290836 0.003510209 0.004065343 0.0035406738 0.0032969562 0.0031683275 0.0033883504 0.0031107832 0.004028109 0.0038047011 0.0038419357 0.0031175532 0.0030735484 0.0030701635 0.003513594 0.003124323 0.0036422226 0...
0
768ddc7f05af22a69d64399aed8b0a183632c20f3850a6d758cb55f167757a2b
2018-04
0
nan
train
[ 0.21446502208709717, 0.015206602402031422, 0.008137119002640247, 0.006189404521137476, 0.008468952029943466, 0.006117267068475485, 0.009132618084549904, 0.003376038745045662, 0.005294898524880409, 0.004256117157638073, 0.004862072877585888, 0.002972068265080452, 0.001890004612505436, 0.004...
0.21446502 0.015206602 0.008137119 0.0061894045 0.008468952 0.006117267 0.009132618 0.0033760387 0.0052948985 0.004256117 0.004862073 0.0029720683 0.0018900046 0.004559095 0.0020198522 0.0060739843 0.004501385 0.0015725993 0.001341759 0.0045735226 0.002293975 0.005814289 0.0017168744 0.001370614 0.0026979456 0.00154374...
0
a63990797c775c0e3c32339140f71c5b3afc34257af6f2f830a36627ed0eff2c
2018-04
0
nan
train
[ 0.2604111135005951, 0.0174675602465868, 0.009568498469889164, 0.004329546354711056, 0.0063759032636880875, 0.002709836233407259, 0.002147939521819353, 0.002385545987635851, 0.00596647709608078, 0.001400678651407361, 0.002348782727494836, 0.001704652444459498, 0.003851430956274271, 0.002520...
0.2604111 0.01746756 0.0095684985 0.0043295464 0.0063759033 0.0027098362 0.0021479395 0.002385546 0.005966477 0.0014006787 0.0023487827 0.0017046524 0.003851431 0.002520022 0.001815716 0.0061982786 0.0050158575 0.004945814 0.002342591 0.0021148527 0.002930222 0.0045421924 0.0016150663 0.0011841627 0.003022904 0.0010549...
1
d10dd9071ddde4777628ce7acba91baffaf36d0c49c9f8bf19fc2b93f9a90238
2018-04
1
memery
train
[ 0.12749166786670685, 0.0023229261860251427, 0.0016371783567592502, 0.0015797334490343928, 0.0016264073783531785, 0.0010842715855687857, 0.0009873333619907498, 0.0006067612557671964, 0.0017197552369907498, 0.00067138671875, 0.0007826861110515893, 0.0003698012442328036, 0.0008042279514484107, ...
0.12749167 0.0023229262 0.0016371784 0.0015797334 0.0016264074 0.0010842716 0.0009873334 0.00060676126 0.0017197552 0.0006713867 0.0007826861 0.00036980124 0.00080422795 0.0005529067 0.0006211225 0.0008544922 0.002416274 0.0014361213 0.0011488971 0.0005098231 0.00047032975 0.0016299977 0.00080063764 0.00017233456 0.000...
-1
31e92ac3bbd3bfb9b1052df203943ab4bba8c2af476c996d066e5cf17b499c46
2018-04
-1
sysn
train
[ 0.007309819106012583, 0.004079906735569239, 0.00395435094833374, 0.004034733399748802, 0.004012478515505791, 0.003999524284154177, 0.004062966909259558, 0.0039643156342208385, 0.003990888129919767, 0.0039609940722584724, 0.0039410642348229885, 0.0039091771468520164, 0.003868321655318141, 0...
0.007309819 0.0040799067 0.003954351 0.0040347334 0.0040124785 0.0039995243 0.004062967 0.0039643156 0.003990888 0.003960994 0.0039410642 0.003909177 0.0038683217 0.003856696 0.0038706467 0.003955015 0.003854039 0.0037809638 0.0038729717 0.0039599976 0.0039031983 0.0038131832 0.0038952264 0.0038487243 0.0038972194 0.00...
0
49c4bae993b7b060ed522e9d7e423245f0f350ef34f4a7f00e6d9239f96c992b
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 0.0049089794 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056...
1
bb492631ca6039b4527a7871e6ed19d1dd4f875ce79f829b1f3626f4cc39c110
2018-04
1
vtflooder
train
[ 0.13611282408237457, 0.011699412018060684, 0.03231358155608177, 0.0025074773002415895, 0.004795792046934366, 0.002720193937420845, 0.003867574268952012, 0.0019660168327391148, 0.007593337446451187, 0.0009411097271367908, 0.0010700288694351912, 0.0008702041814103723, 0.0058916048146784306, ...
0.13611282 0.011699412 0.03231358 0.0025074773 0.004795792 0.002720194 0.0038675743 0.0019660168 0.0075933374 0.0009411097 0.0010700289 0.0008702042 0.005891605 0.004041615 0.00086375827 0.010075031 0.041686006 0.0009926774 0.0010571369 0.0018951114 0.011499587 0.006155889 0.0041189664 0.00087665016 0.0051180897 0.0115...
0
ebd23efbc07ce1eaa9bb04333ba3e167434b07bc9899c7f272abc7833caf2abd
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
b316c51c4790644ae14cfa64fda6cd86b0d8b6eaa609dcf97954d744832c14b9
2018-04
1
vtflooder
train
[ 0.48206302523612976, 0.007571571972221136, 0.004225263837724924, 0.0036099948920309544, 0.02230663038790226, 0.004218985326588154, 0.0015507282223552465, 0.004526619799435139, 0.001217980869114399, 0.003459316911175847, 0.0018269714200869203, 0.0005273731658235192, 0.0016700150445103645, 0...
0.48206303 0.007571572 0.004225264 0.003609995 0.02230663 0.0042189853 0.0015507282 0.00452662 0.0012179809 0.003459317 0.0018269714 0.00052737317 0.001670015 0.0014628328 0.00060899043 0.0036225514 0.0018771974 0.0011489202 0.0015821195 0.00052737317 0.0020529884 0.00097312906 0.0010359116 0.0009166248 0.0008726771 0....
-1
048bee79180afe9f8f35f4edc2c251118f7ebbeffaca44c5d0d302e458e3ac75
2018-04
-1
nan
train
[ 0.1741618514060974, 0.01209818385541439, 0.006965687032788992, 0.006758114788681269, 0.011219825595617294, 0.0043000224977731705, 0.005265779793262482, 0.0029366009403020144, 0.011700519360601902, 0.002401283010840416, 0.0019358842400833964, 0.002062612446025014, 0.008071282878518105, 0.00...
0.17416185 0.012098184 0.006965687 0.006758115 0.011219826 0.0043000225 0.00526578 0.002936601 0.011700519 0.002401283 0.0019358842 0.0020626124 0.008071283 0.0028164275 0.0016015837 0.008801063 0.008252635 0.0012585432 0.0011689594 0.0014464507 0.0043808664 0.002704994 0.0013809016 0.0010837456 0.002707179 0.001601583...
1
64a60383cc3071b6757a9b894b22316fb76369064385ccd992e66fbf5ff56f40
2018-04
1
chindo
train
[ 0.04381643980741501, 0.007234008517116308, 0.011953582987189293, 0.006420683581382036, 0.00813324749469757, 0.003969253972172737, 0.0038890670984983444, 0.0032704819459468126, 0.009387601166963577, 0.0028409091755747795, 0.0030814700294286013, 0.003035648725926876, 0.006621151231229305, 0....
0.04381644 0.0072340085 0.011953583 0.0064206836 0.0081332475 0.003969254 0.003889067 0.003270482 0.009387601 0.0028409092 0.00308147 0.0030356487 0.006621151 0.003367852 0.0027492668 0.0058536474 0.0058364645 0.0029039131 0.0027492668 0.0027034457 0.0040838066 0.0064378665 0.0030528319 0.0028466368 0.0041009896 0.0028...
0
96dc0b9b5fe6c0793b74e1c0954fa7ec37f068c5a67e1e0e9758b7fbe3b6c7b2
2018-04
0
nan
train
[ 0.598388671875, 0.015869140625, 0.005126953125, 0.001953125, 0.003662109375, 0.001953125, 0.00390625, 0.000732421875, 0.00341796875, 0.001220703125, 0.005126953125, 0.0009765625, 0.001708984375, 0.00341796875, 0.001708984375, 0, 0.00244140625, 0.001220703125, 0.00146484375, 0.0...
0.5983887 0.01586914 0.005126953 0.001953125 0.0036621094 0.001953125 0.00390625 0.0007324219 0.0034179688 0.0012207031 0.005126953 0.0009765625 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 0.001708984...
0
b8b67aa35068340f053e644bcff397c40cf017d86e5cb10255913035aed78c64
2018-04
0
nan
train
[ 0.017023153603076935, 0.004711897112429142, 0.0039035689551383257, 0.003946465440094471, 0.003916974179446697, 0.003874077694490552, 0.004051025025546551, 0.003957189619541168, 0.003624742617830634, 0.0036595959682017565, 0.003805711632594466, 0.003804371226578951, 0.0036032944917678833, 0...
0.017023154 0.004711897 0.003903569 0.0039464654 0.003916974 0.0038740777 0.004051025 0.0039571896 0.0036247426 0.003659596 0.0038057116 0.0038043712 0.0036032945 0.0036555743 0.0038848019 0.003945125 0.0043767695 0.0042159082 0.0038298408 0.0045631006 0.003918315 0.0037628154 0.00406309 0.0037735393 0.0039236764 0.003...
1
8e23c6e078500c720f6e8a1aab6531b15f8f5476b9d18a9362e08c51114355ce
2018-04
1
ircbot
train
[ 0.07504294067621231, 0.003878546180203557, 0.003953000530600548, 0.004129612818360329, 0.003611895954236388, 0.0036984707694500685, 0.0036534518003463745, 0.003639600006863475, 0.004212724510580301, 0.0036707669496536255, 0.00356168276630342, 0.0035928497090935707, 0.0038456476759165525, 0...
0.07504294 0.0038785462 0.0039530005 0.004129613 0.003611896 0.0036984708 0.0036534518 0.0036396 0.0042127245 0.003670767 0.0035616828 0.0035928497 0.0038456477 0.003482034 0.0034837655 0.003475108 0.0041019088 0.0033885334 0.0034993489 0.0036776927 0.003506275 0.0034924229 0.0034976176 0.0034439412 0.0035668772 0.0034...
1
cd3059d040675714fd5f016009af62049c188f0e40c9e0cec33857142866e0b3
2018-04
1
khalesi
train
[ 0.15983887016773224, 0.009217534214258194, 0.008995629847049713, 0.008534753695130348, 0.012443671002984047, 0.0048648095689713955, 0.006452273577451706, 0.0026457735802978277, 0.010361190885305405, 0.002116618910804391, 0.006059675011783838, 0.0028335382230579853, 0.010190495289862156, 0....
0.15983887 0.009217534 0.00899563 0.008534754 0.012443671 0.0048648096 0.0064522736 0.0026457736 0.010361191 0.002116619 0.006059675 0.0028335382 0.010190495 0.004199099 0.0015533251 0.010241704 0.004216168 0.0008022668 0.0013655606 0.0015703946 0.0038235695 0.0025774955 0.0029530248 0.0007339888 0.0032944148 0.0020654...
-1
f9388324685894f5a4c2b7bafd59e21d6aba13eadd9a92257daf98fdf8d53b1e
2018-04
-1
nan
train
[ 0.18053148686885834, 0.012733361683785915, 0.0074875433929264545, 0.008553951047360897, 0.011113329790532589, 0.0040750387124717236, 0.003979742992669344, 0.0037573855370283127, 0.01367270853370428, 0.002200884046033025, 0.0025548406410962343, 0.0026183712761849165, 0.007768893614411354, 0...
0.18053149 0.012733362 0.0074875434 0.008553951 0.01111333 0.0040750387 0.003979743 0.0037573855 0.0136727085 0.002200884 0.0025548406 0.0026183713 0.0077688936 0.0021827323 0.0016064184 0.016867394 0.00888068 0.0016336459 0.0018968444 0.0013069167 0.0040841145 0.0036893168 0.0010800214 0.00073514064 0.002917873 0.0013...
-1
25e2b8360d33c448e48ff58d1bb08b7205c220434121e30c11c68947bf8b8665
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
9c27d0855018a3cdb30d2c823120ace95c9abcd7048e8cc6cc24694b13941779
2018-04
1
vtflooder
train
[ 0.21204201877117157, 0.0033455684315413237, 0.003039129776880145, 0.0031856142450124025, 0.0031687768641859293, 0.003204135224223137, 0.00304081360809505, 0.0029987203888595104, 0.0031031116377562284, 0.003175511956214905, 0.003086274256929755, 0.003066069446504116, 0.003146888455376029, 0...
0.21204202 0.0033455684 0.0030391298 0.0031856142 0.0031687769 0.0032041352 0.0030408136 0.0029987204 0.0031031116 0.003175512 0.0030862743 0.0030660694 0.0031468885 0.0029162178 0.0029246362 0.0034078665 0.0030660694 0.0030475485 0.0029970366 0.0030408136 0.0032378098 0.0030172414 0.0028387662 0.002944841 0.0031603584...
1
537a9b480eef0bcb19379d19a259edfd1511707175bca46643a0bac90faa8db5
2018-04
1
qbot
train
[ 0.014273444190621376, 0.003914390224963427, 0.0038605323061347008, 0.0037873133551329374, 0.0040970854461193085, 0.003713742597028613, 0.003813714487478137, 0.003943959251046181, 0.003951703663915396, 0.0037313431967049837, 0.003582089440897107, 0.0038647563196718693, 0.004116798285394907, ...
0.014273444 0.00391439 0.0038605323 0.0037873134 0.0040970854 0.0037137426 0.0038137145 0.0039439593 0.0039517037 0.0037313432 0.0035820894 0.0038647563 0.0041167983 0.0037996338 0.0038387075 0.004610321 0.0038045621 0.0035609687 0.003696494 0.0037246551 0.0037415517 0.0037672487 0.0037045903 0.0037612645 0.0038950297 ...
0
1c3b85a66ae7c42349ce4025dc4d6ae4020c12f63b3ab80170fb40079ccd33e2
2018-04
0
nan
train
[ 0.02912287414073944, 0.004595834296196699, 0.00400343956425786, 0.004245493561029434, 0.004328301176428795, 0.0038537485525012016, 0.0038441938813775778, 0.004105356987565756, 0.004583094269037247, 0.00364035926759243, 0.003573476104065776, 0.0036435441579669714, 0.004102172330021858, 0.00...
0.029122874 0.0045958343 0.0040034396 0.0042454936 0.004328301 0.0038537486 0.0038441939 0.004105357 0.0045830943 0.0036403593 0.003573476 0.0036435442 0.0041021723 0.003729537 0.0037040575 0.004777374 0.004025734 0.0035511816 0.0033728264 0.0037327218 0.0040098093 0.0043474105 0.0035129627 0.0035193325 0.0036722084 0....
1
46ea2bcc80ecf75dec3be881ddd205bc7c7378310d866eff65093891a216a102
2018-04
1
high
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
18397c2798d0402be7a02060a2ba058f9183e9fa5153d1ff608e308480a3a400
2018-04
1
vtflooder
train
[ 0.06546089798212051, 0.049556881189346313, 0.007449776865541935, 0.0033600369933992624, 0.006604683585464954, 0.003596965689212084, 0.0028871253598481417, 0.0031637786887586117, 0.004181957338005304, 0.00348299415782094, 0.008264603093266487, 0.0031656704377382994, 0.0025390624068677425, 0...
0.0654609 0.04955688 0.007449777 0.003360037 0.0066046836 0.0035969657 0.0028871254 0.0031637787 0.0041819573 0.0034829942 0.008264603 0.0031656704 0.0025390624 0.0026454676 0.00229504 0.0029457666 0.0036253405 0.0036470944 0.0030739256 0.00316236 0.0027584934 0.0029731954 0.0030734527 0.0030360925 0.0026885027 0.00296...
-1
abc6364639f8994c468498bf58efc91279dfe362e62beb61b0263a07211cedca
2018-04
-1
nan
train
[ 0.162203848361969, 0.00749826617538929, 0.00399282481521368, 0.003468290902674198, 0.006421778351068497, 0.002537752268835902, 0.002135285409167409, 0.0018929208163172007, 0.007125874049961567, 0.0017682003090158105, 0.0015222975052893162, 0.001283471123315394, 0.005042776465415955, 0.0015...
0.16220385 0.007498266 0.003992825 0.003468291 0.0064217784 0.0025377523 0.0021352854 0.0018929208 0.007125874 0.0017682003 0.0015222975 0.0012834711 0.0050427765 0.0015337965 0.0010570282 0.0068605114 0.0046429634 0.0015010685 0.0011525588 0.0010490674 0.002594363 0.0024581435 0.0009287696 0.0006129879 0.0020689447 0....
-1
729157b4d958b81870c415c896e629a67fbedebc193cbed6cbfd1906c3bbe249
2018-04
-1
zusy
train
[ 0.18143178522586823, 0.012782860547304153, 0.007520134095102549, 0.008591833524405956, 0.011145669035613537, 0.004086137283593416, 0.0039721266366541386, 0.0037760285194963217, 0.01370406523346901, 0.002189001999795437, 0.002526473253965378, 0.002608560724183917, 0.007780078332871199, 0.00...
0.18143179 0.012782861 0.007520134 0.0085918335 0.011145669 0.0040861373 0.0039721266 0.0037760285 0.013704065 0.002189002 0.0025264733 0.0026085607 0.0077800783 0.0021662 0.0015961473 0.016941965 0.008874579 0.001614389 0.001874333 0.0012951596 0.004095258 0.003671139 0.0010580177 0.0007114257 0.0029095486 0.001322522...
0
1927bbd70da7a18cedfdc53271543570ca3c9d96a5bc193e6f74de0d78e019be
2018-04
0
nan
train
[ 0.22158700227737427, 0.008492977358400822, 0.0055520436726510525, 0.005029821768403053, 0.007998241111636162, 0.0041502900421619415, 0.003023389959707856, 0.0020888876169919968, 0.013028062880039215, 0.0015391804045066237, 0.0020888876169919968, 0.0021988290827721357, 0.007146194577217102, ...
0.221587 0.008492977 0.0055520437 0.005029822 0.007998241 0.00415029 0.00302339 0.0020888876 0.013028063 0.0015391804 0.0020888876 0.002198829 0.0071461946 0.002336256 0.0012368414 0.010774262 0.005964324 0.0015391804 0.0006871341 0.0010719292 0.0042602313 0.011049116 0.0010444438 0.0007695902 0.002638595 0.0009894731 ...
0
783f2f7564627ca11e1d7fdda4c9dc15fc2005bd3eb429adae840d5eb77cf533
2018-04
0
nan
train
[ 0.2901213765144348, 0.032239627093076706, 0.005708439275622368, 0.004840530455112457, 0.004170194733887911, 0.006152977701276541, 0.0037468248046934605, 0.00273779290728271, 0.006858594249933958, 0.001651143073104322, 0.002850691555067897, 0.0017287608934566379, 0.002864803886041045, 0.003...
0.29012138 0.032239627 0.0057084393 0.0048405305 0.0041701947 0.0061529777 0.0037468248 0.002737793 0.0068585942 0.0016511431 0.0028506916 0.0017287609 0.002864804 0.0032034998 0.0014112334 0.007557155 0.006893875 0.002067457 0.0011289867 0.0016652554 0.0018910528 0.00889077 0.0012066045 0.0009525826 0.0041560824 0.002...
0
7c85b0f9fad1c4de40f0cce10c7e561193bc49be53f0b46e5b8d945818b94ee8
2018-04
0
nan
train
[ 0.12165551632642746, 0.007956293411552906, 0.005728531163185835, 0.004303975962102413, 0.005736108869314194, 0.0032052495516836643, 0.003371953032910824, 0.0031597851775586605, 0.006122557446360588, 0.0033795302733778954, 0.0031597851775586605, 0.002970349509268999, 0.003743246663361788, 0...
0.12165552 0.007956293 0.005728531 0.004303976 0.005736109 0.0032052496 0.003371953 0.0031597852 0.0061225574 0.0033795303 0.0031597852 0.0029703495 0.0037432467 0.0030233916 0.0027733366 0.0044782567 0.004470679 0.0031370528 0.0029021527 0.0025157041 0.0032582916 0.0048722825 0.0026445205 0.0025535913 0.0032507142 0.0...
0
df4185c9f995bc01485f35dd48cb16e53431ce08a62f9cf48f314359d4d0777e
2018-04
0
nan
train
[ 0.015394449234008789, 0.005321422126144171, 0.0045660389587283134, 0.0047572278417646885, 0.005422639660537243, 0.004254888277500868, 0.00480221351608634, 0.004069322720170021, 0.005248320754617453, 0.00419490784406662, 0.0045098066329956055, 0.0042848787270486355, 0.004867817275226116, 0....
0.015394449 0.005321422 0.004566039 0.004757228 0.0054226397 0.0042548883 0.0048022135 0.0040693227 0.0052483208 0.004194908 0.0045098066 0.0042848787 0.0048678173 0.00411056 0.004168666 0.004146173 0.005021518 0.0039643566 0.004018714 0.00381253 0.0045979037 0.003943738 0.0040674484 0.0043523572 0.0043767244 0.0035801...
1
8f5728bc0a43b02d213dd547f9b84a8cd102a64e72a8ba35d683d4f3a064078e
2018-04
1
truew
train
[ 0.13397422432899475, 0.01421558577567339, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.0037...
0.13397422 0.014215586 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
f9725ea8e34b02b9712f364f82a918dbdcff2259e2826f147f63df9659ee509a
2018-04
1
vtflooder
train
[ 0.1720373034477234, 0.007231284864246845, 0.010219525545835495, 0.005497846286743879, 0.007347709499299526, 0.0029364966321736574, 0.001487652538344264, 0.0015911413356661797, 0.005653079599142075, 0.0012030580546706915, 0.003428068710491061, 0.0011771859135478735, 0.003635046537965536, 0....
0.1720373 0.007231285 0.010219526 0.0054978463 0.0073477095 0.0029364966 0.0014876525 0.0015911413 0.0056530796 0.001203058 0.0034280687 0.0011771859 0.0036350465 0.0020439052 0.0011125053 0.0031434745 0.0044888295 0.00081497483 0.0008925915 0.0008020387 0.0018369274 0.001073697 0.00067267765 0.0004527638 0.001306547 0...
-1
ce5f81da4bb038b58499ea00cbf1dec03406a7a2c308b1434de93dd9572d2eec
2018-04
-1
nan
train
[ 0.02275192178785801, 0.004964727908372879, 0.004151643253862858, 0.004247783217579126, 0.004764549434185028, 0.0039510359056293964, 0.0038947605062276125, 0.003866347251459956, 0.004896634258329868, 0.003662065602838993, 0.0037800665013492107, 0.0036847840528935194, 0.004451880697160959, 0...
0.022751922 0.004964728 0.0041516433 0.004247783 0.0047645494 0.003951036 0.0038947605 0.0038663473 0.0048966343 0.0036620656 0.0037800665 0.003684784 0.0044518807 0.003698317 0.0036344484 0.0046940674 0.0044931537 0.0036316928 0.003605729 0.0035825206 0.003922745 0.0037842917 0.003672843 0.003567273 0.003873083 0.0035...
-1
cfdba60e9a1f06f3dae65560226ce29919d10fea35f83ec4e82f1eb498567394
2018-04
-1
nan
train
[ 0.11826452612876892, 0.006303808651864529, 0.009834588505327702, 0.013473497703671455, 0.017905917018651962, 0.009738380089402199, 0.007536644581705332, 0.0034916154108941555, 0.00213873153552413, 0.001953125, 0.008144548162817955, 0.0019045948283746839, 0.0020186833571642637, 0.0020612536...
0.118264526 0.0063038087 0.0098345885 0.013473498 0.017905917 0.00973838 0.0075366446 0.0034916154 0.0021387315 0.001953125 0.008144548 0.0019045948 0.0020186834 0.0020612536 0.0020655105 0.003950523 0.0017019602 0.002811342 0.0018747956 0.0022102497 0.0020799844 0.002119149 0.002297093 0.0022085467 0.0018296712 0.0015...
-1
e8e7d0cd4c691c5f964e7d9c7769cca43e6ec896f3af4aae317b3a85b175938d
2018-04
-1
nan
train
[ 0.23964935541152954, 0.004569575656205416, 0.002294000703841448, 0.003339659422636032, 0.002584205474704504, 0.002961932448670268, 0.00296653900295496, 0.00458339462056756, 0.003754237899556756, 0.0033719043713063, 0.003537735901772976, 0.002561173401772976, 0.003404149552807212, 0.0030586...
0.23964936 0.0045695757 0.0022940007 0.0033396594 0.0025842055 0.0029619324 0.002966539 0.0045833946 0.003754238 0.0033719044 0.003537736 0.0025611734 0.0034041496 0.0030586675 0.0030678804 0.003975346 0.00371278 0.0026072375 0.0027914946 0.002547354 0.002828346 0.0023769164 0.0035791937 0.0032935953 0.002860591 0.0036...
-1
c1e96c5332db3e4ec85b61451d6861b16a97efd4d148080d625c1811975f985b
2018-04
-1
emotet
train
[ 0.12011300027370453, 0.011676120571792126, 0.006948946509510279, 0.0043490007519721985, 0.00932603981345892, 0.004558346699923277, 0.014823068864643574, 0.0048239692114293575, 0.00784260779619217, 0.0014474157942458987, 0.0019066270906478167, 0.0015352062182500958, 0.005625337827950716, 0....
0.120113 0.011676121 0.0069489465 0.0043490008 0.00932604 0.0045583467 0.014823069 0.004823969 0.007842608 0.0014474158 0.0019066271 0.0015352062 0.005625338 0.0016162435 0.0015577165 0.008628219 0.024232397 0.0008801549 0.0008801549 0.0014969386 0.0031987214 0.00839186 0.0010309742 0.0009859535 0.0026202053 0.00128083...
0
043e4c7c77af6dc714dc0bb2fa23c8d5c99282b246cbcb4c781966255b73acb1
2018-04
0
nan
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010533851571381092, 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 0.010533852 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
c251910c88f2fb8195b08991b752a90ccb08ca34cfc5f0fe6996ee9dac3ddb05
2018-04
1
vtflooder
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
20fc36748520a66459e464a8a201063db867c66c98b2e5c94cb718ee83beef32
2018-04
1
vtflooder
train
[ 0.26783832907676697, 0.013297597877681255, 0.010020628571510315, 0.009107328951358795, 0.0096592390909791, 0.008218896575272083, 0.006876021157950163, 0.009418179281055927, 0.011580097489058971, 0.003944396506994963, 0.006598461419343948, 0.0031915358267724514, 0.00783544685691595, 0.00202...
0.26783833 0.013297598 0.010020629 0.009107329 0.009659239 0.008218897 0.006876021 0.009418179 0.0115800975 0.0039443965 0.0065984614 0.0031915358 0.007835447 0.0020295554 0.0014198865 0.0038365012 0.012469732 0.0010580962 0.0009879041 0.0006196962 0.0022818458 0.001839836 0.0012217441 0.00080019026 0.0021502858 0.0008...
0
964c5076e259bb16d6d740b283a7102cf61439f95a78486702b2d6484a69908e
2018-04
0
nan
train
[ 0.3931578993797302, 0.011743420735001564, 0.0025986842811107635, 0.004671052563935518, 0.004802631679922342, 0.002664473606273532, 0.005493421107530594, 0.0016118420753628016, 0.0011842105304822326, 0.002302631502971053, 0.011710526421666145, 0.0011842105304822326, 0.0007565789273940027, 0...
0.3931579 0.011743421 0.0025986843 0.0046710526 0.0048026317 0.0026644736 0.005493421 0.0016118421 0.0011842105 0.0023026315 0.011710526 0.0011842105 0.0007565789 0.011710526 0.0011513158 0.0007236842 0.0014144736 0.0011842105 0.0003618421 0.0028947368 0.0009868421 0.00092105265 0.00095394737 0.0008223684 0.00085526315...
0
1d8f6b84dc00e1f780feb55fe69f890810cd3166acf341c574aea6720d41b940
2018-04
0
nan
train
[ 0.09792696684598923, 0.014876559376716614, 0.02152372896671295, 0.011172411032021046, 0.011850505135953426, 0.0022926046513020992, 0.0027815706562250853, 0.0019697025418281555, 0.01251937448978424, 0.0015314783668145537, 0.0019143478712067008, 0.0009687061537988484, 0.010268285870552063, 0...
0.09792697 0.014876559 0.021523729 0.011172411 0.011850505 0.0022926047 0.0027815707 0.0019697025 0.0125193745 0.0015314784 0.0019143479 0.00096870615 0.010268286 0.0014438335 0.001176286 0.0074774893 0.03170898 0.0014991881 0.00073344895 0.0013331242 0.0055216253 0.00086722267 0.00067809434 0.0006181268 0.003985534 0....
0
857944d5007205aa79b61aad8449ccf722f35495ce623103ebb621b3dfa3d4cc
2018-04
0
nan
train
[ 0.15316368639469147, 0.014182191342115402, 0.009508351795375347, 0.005435931496322155, 0.006751679349690676, 0.003453925484791398, 0.003453271696344018, 0.0032369159162044525, 0.006987071130424738, 0.0028332388028502464, 0.0036078281700611115, 0.002974066184833646, 0.003996314946562052, 0....
0.15316369 0.014182191 0.009508352 0.0054359315 0.0067516793 0.0034539255 0.0034532717 0.003236916 0.006987071 0.0028332388 0.0036078282 0.0029740662 0.003996315 0.0032268018 0.0028655422 0.0037626538 0.0053564035 0.002337766 0.0025579678 0.0021460608 0.0028998838 0.0023613016 0.0021846327 0.0020990288 0.0030107922 0.0...
-1
d9e8a69ab0ab09ee8e62cf0e2a1de3e5e3a30a4f79ab90f9c7af2042e4522337
2018-04
-1
nan
train
[ 0.046033039689064026, 0.007819036021828651, 0.005320513620972633, 0.00557705806568265, 0.007607107516378164, 0.0042274100705981255, 0.006157072260975838, 0.004026636015623808, 0.006235151086002588, 0.0034243138507008553, 0.004294334910809994, 0.0034577760379761457, 0.006926706526428461, 0....
0.04603304 0.007819036 0.0053205136 0.005577058 0.0076071075 0.00422741 0.0061570723 0.004026636 0.006235151 0.0034243139 0.004294335 0.003457776 0.0069267065 0.0054878253 0.0064024627 0.0039708656 0.0050639687 0.00517551 0.0037477831 0.0043612598 0.0038704784 0.004093561 0.0034912385 0.004684729 0.0036027797 0.0037254...
0
800b3b010045e2852cfefa78713e3721fa30f52422b6dd8ee30f6871689dea3b
2018-04
0
nan
train
[ 0.2257646769285202, 0.027061017230153084, 0.03766346350312233, 0.015625, 0.04642977938055992, 0.012974794954061508, 0.020052840933203697, 0.016151465475559235, 0.01425196323543787, 0.006220101844519377, 0.05315359681844711, 0.0042978497222065926, 0.005696885287761688, 0.004135360475629568,...
0.22576468 0.027061017 0.037663464 0.015625 0.04642978 0.012974795 0.020052841 0.016151465 0.014251963 0.006220102 0.053153597 0.0042978497 0.0056968853 0.0041353605 0.009575512 0.0021432377 0.0030434302 0.037765834 0.011307651 0.019641742 0.003188046 0.0048438148 0.008902805 0.01241583 0.0038867511 0.0020181208 0.0019...
0
685e2106ad0607b7bed944548bd24ff4cfaadac59430e887113fdd1f06e5fa7a
2018-04
0
nan
train
[ 0.042837344110012054, 0.004855530336499214, 0.0040329815819859505, 0.004521525930613279, 0.005022532772272825, 0.003968175034970045, 0.0038036650512367487, 0.004047937225550413, 0.004244850482791662, 0.003674051258713007, 0.0037837245035916567, 0.0035120341926813126, 0.003975652623921633, ...
0.042837344 0.0048555303 0.0040329816 0.004521526 0.005022533 0.003968175 0.003803665 0.004047937 0.0042448505 0.0036740513 0.0037837245 0.0035120342 0.0039756526 0.003908353 0.0035120342 0.003838561 0.0040105483 0.0033400466 0.0035369599 0.003616722 0.0035120342 0.003629185 0.0032179106 0.0032528066 0.0035319747 0.003...
1
c6300d68feb30bc35701958c13f7018ff837de0001d7bec5c7ed36ec9c1a2ed2
2018-04
1
filetour
train
[ 0.5390411019325256, 0.006849315017461777, 0.012328767217695713, 0.008219177834689617, 0.008904109708964825, 0.012328767217695713, 0.004109588917344809, 0.001369863050058484, 0.000684931525029242, 0.001369863050058484, 0.001369863050058484, 0.001369863050058484, 0, 0.0034246575087308884, ...
0.5390411 0.006849315 0.012328767 0.008219178 0.00890411 0.012328767 0.004109589 0.001369863 0.0006849315 0.001369863 0.001369863 0.001369863 0.0 0.0034246575 0.0020547945 0.001369863 0.00890411 0.0006849315 0.0 0.0006849315 0.0006849315 0.002739726 0.0 0.002739726 0.0006849315 0.0 0.0006849315 0.0006849315 0.001369863...
0
eabeba52011dfafbf8b4ae40d5e76245f99de05f35d29e6ad78f5d39cda1df52
2018-04
0
nan
train
[ 0.2183321863412857, 0.017237510532140732, 0.006463676691055298, 0.006296942476183176, 0.006868825294077396, 0.009206220507621765, 0.004303923808038235, 0.0045088352635502815, 0.010431015864014626, 0.0040616136975586414, 0.005166422575712204, 0.006259544286876917, 0.004980989266186953, 0.00...
0.21833219 0.01723751 0.0064636767 0.0062969425 0.0068688253 0.0092062205 0.004303924 0.0045088353 0.010431016 0.0040616137 0.0051664226 0.0062595443 0.0049809893 0.0055692336 0.00463038 0.011124443 0.009482034 0.0028594134 0.0009606694 0.0010806557 0.0016018949 0.008622651 0.0008617197 0.0010635149 0.0036253 0.0029303...
-1
3ca61ab5ce755b842edfed9ffaebf4f0248e3ffcbb543c2e8e776646e7e23314
2018-04
-1
nan
train
[ 0.18918009102344513, 0.010312932543456554, 0.005618574097752571, 0.003432160709053278, 0.007251654285937548, 0.002558791544288397, 0.002075746888294816, 0.002639548387378454, 0.010280031710863113, 0.0017601974541321397, 0.00195909827016294, 0.001713837031275034, 0.004410214256495237, 0.001...
0.18918009 0.010312933 0.005618574 0.0034321607 0.0072516543 0.0025587915 0.002075747 0.0026395484 0.010280032 0.0017601975 0.0019590983 0.001713837 0.0044102143 0.0018020712 0.0014222156 0.0036893857 0.0075417804 0.0012008824 0.0010797472 0.0008015852 0.0027517104 0.0015373686 0.0007447564 0.00076419784 0.0031450256 0...
0
78dd8eb72e94ea152d11226d09d388d4a0b81467ac12088beb80dbde0ef36c86
2018-04
0
nan
train
[ 0.19548124074935913, 0.004364650696516037, 0.0035453413147479296, 0.002105456544086337, 0.003708453383296728, 0.0014698824379593134, 0.003138498868793249, 0.001874850015155971, 0.001574874040670693, 0.0009318004595115781, 0.002536672167479992, 0.0008736801100894809, 0.0008230591774918139, ...
0.19548124 0.0043646507 0.0035453413 0.0021054565 0.0037084534 0.0014698824 0.0031384989 0.00187485 0.001574874 0.00093180046 0.0025366722 0.0008736801 0.0008230592 0.0011549076 0.0007611891 0.0008343083 0.000875555 0.0017886069 0.0013742651 0.0013011459 0.0006449484 0.0006318244 0.0012299016 0.0009880459 0.00066182204...
-1
11ad4d1f0c37a6782a75a09d668c6be8fdf683313aafe98815f902a6392f2803
2018-04
-1
nan
train
[ 0.1794000118970871, 0.012682253494858742, 0.0074569666758179665, 0.008516451343894005, 0.011072739027440548, 0.004035057500004768, 0.003967430908232927, 0.003769059432670474, 0.013588450849056244, 0.0022361883893609047, 0.00256530474871397, 0.0026419484056532383, 0.007727473508566618, 0.00...
0.17940001 0.0126822535 0.0074569667 0.008516451 0.011072739 0.0040350575 0.003967431 0.0037690594 0.013588451 0.0022361884 0.0025653047 0.0026419484 0.0077274735 0.0021956123 0.0016050062 0.016789448 0.008814009 0.0016500906 0.0019025635 0.0013570418 0.0041162097 0.0036608567 0.0011045688 0.00073036796 0.0029079465 0....
0
1bb0090c6fb7b8bc79a1eb16b5ceb7b27728887118c75747a9026aa92508abf2
2018-04
0
nan
train
[ 0.14013579487800598, 0.0157029889523983, 0.005234329495579004, 0.0067819408141076565, 0.009617878124117851, 0.003962208982557058, 0.006158034782856703, 0.0039054902736097574, 0.012162118218839169, 0.003346405690535903, 0.0020094639621675014, 0.0026981914415955544, 0.006490244530141354, 0.0...
0.1401358 0.015702989 0.0052343295 0.006781941 0.009617878 0.003962209 0.006158035 0.0039054903 0.012162118 0.0033464057 0.002009464 0.0026981914 0.0064902445 0.002835937 0.0020661827 0.007178972 0.0074463603 0.0016286381 0.0016610489 0.00217962 0.0053801774 0.0075597977 0.0016853568 0.0015638167 0.0030709147 0.0017339...
0
a162a0264db47d72001e1799956c26211b03b620b26e8d1519d515da28af9ef6
2018-04
0
nan
train
[ 0.015229362063109875, 0.0022297133691608906, 0.001627305755391717, 0.0013032768620178103, 0.0010669684270396829, 0.0007393589476123452, 0.0007447295938618481, 0.0006856524851173162, 0.0013041718630120158, 0.0006382117862813175, 0.0006104634376242757, 0.0005728689138777554, 0.0009586603264324...
0.015229362 0.0022297134 0.0016273058 0.0013032769 0.0010669684 0.00073935895 0.0007447296 0.0006856525 0.0013041719 0.0006382118 0.00061046344 0.0005728689 0.0009586603 0.00075010024 0.0005764494 0.0011215699 0.0017230823 0.0006623797 0.000781429 0.00064447755 0.0007223519 0.00070713507 0.00063731667 0.00050573586 0.0...
1
507f879e82efd024795348db91e463d34c841737cd0628ab2ae214b81007b666
2018-04
1
adposhel
train
[ 0.3309818208217621, 0.02224230393767357, 0.03546719625592232, 0.011116293258965015, 0.018345771357417107, 0.00472248112782836, 0.023952502757310867, 0.006296641658991575, 0.006490982603281736, 0.00290539488196373, 0.028772154822945595, 0.004877953790128231, 0.003264925442636013, 0.00315803...
0.33098182 0.022242304 0.035467196 0.011116293 0.018345771 0.004722481 0.023952503 0.0062966417 0.0064909826 0.0029053949 0.028772155 0.004877954 0.0032649254 0.003158038 0.0029151118 0.0013701026 0.0018365205 0.008482976 0.005849658 0.0059662624 0.001700482 0.001719916 0.006578436 0.0038382306 0.0021183146 0.001962842...
0
87ea6269490e10e0052e685db5edae9a361064c2b58f42266669f69225d7330b
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 0.008795255 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 0...
1
d49a8e0638015097dacc9857b5e6544798598dbf50f39bf02caf5508e623a1f6
2018-04
1
vtflooder
train
[ 0.022847233340144157, 0.005632048472762108, 0.004872296005487442, 0.004205968696624041, 0.004655119031667709, 0.004167204722762108, 0.003831778885796666, 0.003792647970840335, 0.00470684515312314, 0.0036788012366741896, 0.0037288153544068336, 0.0038081780076026917, 0.004440387710928917, 0....
0.022847233 0.0056320485 0.004872296 0.0042059687 0.004655119 0.0041672047 0.003831779 0.003792648 0.004706845 0.0036788012 0.0037288154 0.003808178 0.0044403877 0.003716098 0.0036693853 0.0049291584 0.004130275 0.0036418713 0.0036399148 0.0040324475 0.0038436404 0.003914321 0.0036995895 0.0036729316 0.0037774846 0.003...
1
4b9fd263a96c7f4566aefc6c31e5996bd890376427578a77860d8af266b84907
2018-04
1
nymeria
train
[ 0.1473231315612793, 0.0026141346897929907, 0.0022212222684174776, 0.0028644578997045755, 0.0023257876746356487, 0.004610382951796055, 0.0025159067008644342, 0.0020279348827898502, 0.0019487185636535287, 0.002103982260450721, 0.00200892286375165, 0.001989911077544093, 0.0021483434829860926, ...
0.14732313 0.0026141347 0.0022212223 0.002864458 0.0023257877 0.004610383 0.0025159067 0.0020279349 0.0019487186 0.0021039823 0.0020089229 0.001989911 0.0021483435 0.0021768613 0.0019677305 0.0019265381 0.0045755277 0.004410758 0.0021008137 0.002088139 0.0020215975 0.0018441532 0.0018948516 0.0019328754 0.0020025857 0....
-1
27b57cb9e8e8ce1ba887a9c6d140ef21980aea7a2c20c69c0899c38862d4d692
2018-04
-1
emotet
train
[ 0.08217675238847733, 0.011937007308006287, 0.009869157336652279, 0.0038069149013608694, 0.006662450730800629, 0.0029506736900657415, 0.004955565091222525, 0.0045890044420957565, 0.003875470021739602, 0.0021322080865502357, 0.010160167701542377, 0.004295195918530226, 0.0029674628749489784, ...
0.08217675 0.011937007 0.009869157 0.003806915 0.0066624507 0.0029506737 0.004955565 0.0045890044 0.00387547 0.002132208 0.010160168 0.004295196 0.0029674629 0.0019489278 0.003711777 0.0061433897 0.0019097533 0.0057040765 0.003275262 0.0030947798 0.002209158 0.0010954848 0.0021923687 0.0016886976 0.0015445917 0.0009849...
-1
5780360e920a2d41d5791201b429b5e9222a0347d2aa406c8a594f7ef3fb67bb
2018-04
-1
nan
train
[ 0.05984879285097122, 0.007378219161182642, 0.004850833211094141, 0.005491784308105707, 0.005877811461687088, 0.0033140077721327543, 0.0032338888850063086, 0.00469787884503603, 0.0037218856159597635, 0.003707318566739559, 0.00321203819476068, 0.0038966904394328594, 0.0035033796448260546, 0....
0.059848793 0.007378219 0.004850833 0.0054917843 0.0058778115 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 0.00346...
1
bc1708d91d866dacd92574f62248a37a65cd466290c6caee7be19296e632ec0d
2018-04
1
byfh
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
5e017843f4e36b024b945379e4cbd472ee1ac3f5dc79e6cf96de439582a2a5c1
2018-04
1
vtflooder
train