Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- Test/grambedding_features.csv +3 -0
- Test/grambeddings_test.csv +3 -0
- Test/mendeley_features.csv +3 -0
- Test/mendeley_test.csv +3 -0
- Test/webpage_phishing.csv +0 -0
- Test/webpage_phishing_features.csv +0 -0
- Train/PhiUSIIL_Phishing_URL_Dataset.csv +3 -0
- Train/grambeddings_train.csv +3 -0
- Train/kaggle_binary.csv +3 -0
- Train/malicious_phish.csv +3 -0
- Train/mendeley_train.csv +3 -0
- Train/new_data_urls.csv +3 -0
- Train/train_features.csv +3 -0
- Train/train_merged.csv +3 -0
- allbrands.txt +257 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
Test/grambedding_features.csv filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
Test/grambeddings_test.csv filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
Test/mendeley_features.csv filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
Test/mendeley_test.csv filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
Train/grambeddings_train.csv filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
Train/kaggle_binary.csv filter=lfs diff=lfs merge=lfs -text
|
| 42 |
+
Train/malicious_phish.csv filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
Train/mendeley_train.csv filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
Train/new_data_urls.csv filter=lfs diff=lfs merge=lfs -text
|
| 45 |
+
Train/PhiUSIIL_Phishing_URL_Dataset.csv filter=lfs diff=lfs merge=lfs -text
|
| 46 |
+
Train/train_features.csv filter=lfs diff=lfs merge=lfs -text
|
| 47 |
+
Train/train_merged.csv filter=lfs diff=lfs merge=lfs -text
|
Test/grambedding_features.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:03b41241ee67991f95bf38632f03fdab11ce5339c3c9f7f9295fd9c680a3b260
|
| 3 |
+
size 23508445
|
Test/grambeddings_test.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8cd0d00300073ca1027747674eeab4fce4da3592f9093636bc9d04b15c813cdc
|
| 3 |
+
size 11898168
|
Test/mendeley_features.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5d1d497688a1999c1aba8c3eda01b114f780eb5088c524ee075944a1de41b5f2
|
| 3 |
+
size 50624235
|
Test/mendeley_test.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40a7e00771e054e1e2104a5ee03209ed34a07dd842ee04da4dd2564c9e64166a
|
| 3 |
+
size 15499921
|
Test/webpage_phishing.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Test/webpage_phishing_features.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Train/PhiUSIIL_Phishing_URL_Dataset.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a236549cd369cd80bd478ff8e1779cbf44c58d5c3f79f7a51a1adbed7d06d1c6
|
| 3 |
+
size 56854345
|
Train/grambeddings_train.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3d8173fa4b13da255097cb9c40ff89b3d2d9833835b9719b984341777974b187
|
| 3 |
+
size 47559430
|
Train/kaggle_binary.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d3641af5da06f6a323cccba21240d80b90987944daf926fcd46d56854514fc9c
|
| 3 |
+
size 44923623
|
Train/malicious_phish.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d83ce942075dd63ed4d11560cfdcd9d512caa3d680e292f22cab484e8f074d01
|
| 3 |
+
size 45664439
|
Train/mendeley_train.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:68146078297314f0bd4a7ba8e38e50ed8fa2b48350680839b5346638a67f50b7
|
| 3 |
+
size 50196820
|
Train/new_data_urls.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:330901bb4fbb63ffc25d371cf0bed919c1ca031ea1c809bfc9a154a2d79e4a29
|
| 3 |
+
size 42004106
|
Train/train_features.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:138faa5c35c69c823bb34a95f2c427d917f8a7b943287b3a91bf047089e34483
|
| 3 |
+
size 570470921
|
Train/train_merged.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4c6da00fd4f90f4fa4c432f4ceb670d7076d76bc2b872444f1d4351a8c77c444
|
| 3 |
+
size 275017297
|
allbrands.txt
ADDED
|
@@ -0,0 +1,257 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
accenture
|
| 2 |
+
activisionblizzard
|
| 3 |
+
adidas
|
| 4 |
+
adobe
|
| 5 |
+
adultfriendfinder
|
| 6 |
+
agriculturalbankofchina
|
| 7 |
+
akamai
|
| 8 |
+
alibaba
|
| 9 |
+
aliexpress
|
| 10 |
+
alipay
|
| 11 |
+
alliance
|
| 12 |
+
alliancedata
|
| 13 |
+
allianceone
|
| 14 |
+
allianz
|
| 15 |
+
alphabet
|
| 16 |
+
amazon
|
| 17 |
+
americanairlines
|
| 18 |
+
americanexpress
|
| 19 |
+
americantower
|
| 20 |
+
andersons
|
| 21 |
+
apache
|
| 22 |
+
apple
|
| 23 |
+
arrow
|
| 24 |
+
ashleymadison
|
| 25 |
+
audi
|
| 26 |
+
autodesk
|
| 27 |
+
avaya
|
| 28 |
+
avisbudget
|
| 29 |
+
avon
|
| 30 |
+
axa
|
| 31 |
+
badoo
|
| 32 |
+
baidu
|
| 33 |
+
bankofamerica
|
| 34 |
+
bankofchina
|
| 35 |
+
bankofnewyorkmellon
|
| 36 |
+
barclays
|
| 37 |
+
barnes
|
| 38 |
+
bbc
|
| 39 |
+
bbt
|
| 40 |
+
bbva
|
| 41 |
+
bebo
|
| 42 |
+
benchmark
|
| 43 |
+
bestbuy
|
| 44 |
+
bim
|
| 45 |
+
bing
|
| 46 |
+
biogen
|
| 47 |
+
blackstone
|
| 48 |
+
blogger
|
| 49 |
+
blogspot
|
| 50 |
+
bmw
|
| 51 |
+
bnpparibas
|
| 52 |
+
boeing
|
| 53 |
+
booking
|
| 54 |
+
broadcom
|
| 55 |
+
burberry
|
| 56 |
+
caesars
|
| 57 |
+
canon
|
| 58 |
+
cardinalhealth
|
| 59 |
+
carmax
|
| 60 |
+
carters
|
| 61 |
+
caterpillar
|
| 62 |
+
cheesecakefactory
|
| 63 |
+
chinaconstructionbank
|
| 64 |
+
cinemark
|
| 65 |
+
cintas
|
| 66 |
+
cisco
|
| 67 |
+
citi
|
| 68 |
+
citigroup
|
| 69 |
+
cnet
|
| 70 |
+
coca-cola
|
| 71 |
+
colgate
|
| 72 |
+
colgate-palmolive
|
| 73 |
+
columbiasportswear
|
| 74 |
+
commonwealth
|
| 75 |
+
communityhealth
|
| 76 |
+
continental
|
| 77 |
+
dell
|
| 78 |
+
deltaairlines
|
| 79 |
+
deutschebank
|
| 80 |
+
disney
|
| 81 |
+
dolby
|
| 82 |
+
dominos
|
| 83 |
+
donaldson
|
| 84 |
+
dreamworks
|
| 85 |
+
dropbox
|
| 86 |
+
eastman
|
| 87 |
+
eastmankodak
|
| 88 |
+
ebay
|
| 89 |
+
edison
|
| 90 |
+
electronicarts
|
| 91 |
+
equifax
|
| 92 |
+
equinix
|
| 93 |
+
expedia
|
| 94 |
+
express
|
| 95 |
+
facebook
|
| 96 |
+
fedex
|
| 97 |
+
flickr
|
| 98 |
+
footlocker
|
| 99 |
+
ford
|
| 100 |
+
fordmotor
|
| 101 |
+
fossil
|
| 102 |
+
fosterwheeler
|
| 103 |
+
foxconn
|
| 104 |
+
fujitsu
|
| 105 |
+
gap
|
| 106 |
+
gartner
|
| 107 |
+
genesis
|
| 108 |
+
genuine
|
| 109 |
+
genworth
|
| 110 |
+
gigamedia
|
| 111 |
+
gillette
|
| 112 |
+
github
|
| 113 |
+
global
|
| 114 |
+
globalpayments
|
| 115 |
+
goodyeartire
|
| 116 |
+
google
|
| 117 |
+
gucci
|
| 118 |
+
harley-davidson
|
| 119 |
+
harris
|
| 120 |
+
hewlettpackard
|
| 121 |
+
hilton
|
| 122 |
+
hiltonworldwide
|
| 123 |
+
hmstatil
|
| 124 |
+
honda
|
| 125 |
+
hsbc
|
| 126 |
+
huawei
|
| 127 |
+
huntingtonbancshares
|
| 128 |
+
hyundai
|
| 129 |
+
ibm
|
| 130 |
+
ikea
|
| 131 |
+
imdb
|
| 132 |
+
imgur
|
| 133 |
+
ingbank
|
| 134 |
+
insight
|
| 135 |
+
instagram
|
| 136 |
+
intel
|
| 137 |
+
jackdaniels
|
| 138 |
+
jnj
|
| 139 |
+
jpmorgan
|
| 140 |
+
jpmorganchase
|
| 141 |
+
kelly
|
| 142 |
+
kfc
|
| 143 |
+
kindermorgan
|
| 144 |
+
lbrands
|
| 145 |
+
lego
|
| 146 |
+
lennox
|
| 147 |
+
lenovo
|
| 148 |
+
lindsay
|
| 149 |
+
linkedin
|
| 150 |
+
livejasmin
|
| 151 |
+
loreal
|
| 152 |
+
louisvuitton
|
| 153 |
+
mastercard
|
| 154 |
+
mcdonalds
|
| 155 |
+
mckesson
|
| 156 |
+
mckinsey
|
| 157 |
+
mercedes-benz
|
| 158 |
+
microsoft
|
| 159 |
+
microsoftonline
|
| 160 |
+
mini
|
| 161 |
+
mitsubishi
|
| 162 |
+
morganstanley
|
| 163 |
+
motorola
|
| 164 |
+
mrcglobal
|
| 165 |
+
mtv
|
| 166 |
+
myspace
|
| 167 |
+
nescafe
|
| 168 |
+
nestle
|
| 169 |
+
netflix
|
| 170 |
+
nike
|
| 171 |
+
nintendo
|
| 172 |
+
nissan
|
| 173 |
+
nissanmotor
|
| 174 |
+
nvidia
|
| 175 |
+
nytimes
|
| 176 |
+
oracle
|
| 177 |
+
panasonic
|
| 178 |
+
paypal
|
| 179 |
+
pepsi
|
| 180 |
+
pepsico
|
| 181 |
+
philips
|
| 182 |
+
pinterest
|
| 183 |
+
pocket
|
| 184 |
+
pornhub
|
| 185 |
+
porsche
|
| 186 |
+
prada
|
| 187 |
+
rabobank
|
| 188 |
+
reddit
|
| 189 |
+
regal
|
| 190 |
+
royalbankofcanada
|
| 191 |
+
samsung
|
| 192 |
+
scotiabank
|
| 193 |
+
shell
|
| 194 |
+
siemens
|
| 195 |
+
skype
|
| 196 |
+
snapchat
|
| 197 |
+
sony
|
| 198 |
+
soundcloud
|
| 199 |
+
spiritairlines
|
| 200 |
+
spotify
|
| 201 |
+
sprite
|
| 202 |
+
stackexchange
|
| 203 |
+
stackoverflow
|
| 204 |
+
starbucks
|
| 205 |
+
swatch
|
| 206 |
+
swift
|
| 207 |
+
symantec
|
| 208 |
+
synaptics
|
| 209 |
+
target
|
| 210 |
+
telegram
|
| 211 |
+
tesla
|
| 212 |
+
teslamotors
|
| 213 |
+
theguardian
|
| 214 |
+
homedepot
|
| 215 |
+
piratebay
|
| 216 |
+
tiffany
|
| 217 |
+
tinder
|
| 218 |
+
tmall
|
| 219 |
+
toyota
|
| 220 |
+
tripadvisor
|
| 221 |
+
tumblr
|
| 222 |
+
twitch
|
| 223 |
+
twitter
|
| 224 |
+
underarmour
|
| 225 |
+
unilever
|
| 226 |
+
universal
|
| 227 |
+
ups
|
| 228 |
+
verizon
|
| 229 |
+
viber
|
| 230 |
+
visa
|
| 231 |
+
volkswagen
|
| 232 |
+
volvocars
|
| 233 |
+
walmart
|
| 234 |
+
wechat
|
| 235 |
+
weibo
|
| 236 |
+
whatsapp
|
| 237 |
+
wikipedia
|
| 238 |
+
wordpress
|
| 239 |
+
yahoo
|
| 240 |
+
yamaha
|
| 241 |
+
yandex
|
| 242 |
+
youtube
|
| 243 |
+
zara
|
| 244 |
+
zebra
|
| 245 |
+
iphone
|
| 246 |
+
icloud
|
| 247 |
+
itunes
|
| 248 |
+
sinara
|
| 249 |
+
normshield
|
| 250 |
+
bga
|
| 251 |
+
sinaralabs
|
| 252 |
+
roksit
|
| 253 |
+
cybrml
|
| 254 |
+
turkcell
|
| 255 |
+
n11
|
| 256 |
+
hepsiburada
|
| 257 |
+
migros
|