Is there a list of the most popular Runet passwords?

Question

Passwords

We want to add a password check to our application according to the list of the most popular ones. The network is full of lists of at least top 15, at least top 10 million - but the problem is that they have English-language specifics. It is unlikely that the passwords jessica, soccer and sunshine are popular in Runet.
Is there a list of the most popular Runet passwords for at least 10 thousand passwords?

Answer 1

Passwords 123456, love, god, sex and admin - will be in any top :D Jokes apart, I also put the password 123456 in some places - where you need "at least some" password, where there is nothing interesting... :D

Answer 2

I saw it somewhere, but I don't remember. Try "top 100 runet passwords". Here is the first link from Google on request: vkblog.ru/bezopasnost/200-samykh-populyarnykh-paro...

Answer 3

TOP-100 (format - "password: number of_boxes"):

123456             : 39177
123456789          : 13892
111111             : 9826
qwerty             : 7926
1234567890         : 5853
1234567            : 4668
7777777            : 4606
123321             : 4324
000000             : 3304
123123             : 3031
666666             : 2807
12345678           : 2570
555555             : 2416
654321             : 2299
gfhjkm             : 1804
777777             : 1500
112233             : 1482
121212             : 1432
12345              : 1431
987654321          : 1385
159753             : 1172
qwertyuiop         : 1120
qazwsx             : 1109
222222             : 967
1q2w3e             : 939
0987654321         : 874
1q2w3e4r           : 872
1111111            : 832
123qwe             : 804
zxcvbnm            : 772
88888888           : 762
123654             : 724
333333             : 707
131313             : 697
999999             : 690
4815162342         : 661
12344321           : 639
1qaz2wsx           : 633
11111111           : 615
asdfgh             : 609
qweasdzxc          : 583
123123123          : 578
159357             : 574
zxcvbn             : 571
qazwsxedc          : 545
ghbdtn             : 533
1234554321         : 524
1111111111         : 523
1q2w3e4r5t         : 500
1029384756         : 465
qwe123             : 455
789456123          : 448
147258369          : 444
1234qwer           : 439
135790             : 428
098765             : 426
999999999          : 422
888888             : 408
12341234           : 408
12345qwert         : 401
qweasd             : 395
987654             : 392
111222             : 391
147852369          : 380
asdfghjkl          : 375
789456             : 375
samsung            : 373
159951             : 365
101010             : 357
vfhbyf             : 355
444444             : 353
qwerty123          : 348
nikita             : 348
qweqwe             : 335
q1w2e3             : 331
fyfcnfcbz          : 328
00000000           : 325
qwaszx             : 325
qazxsw             : 322
010203             : 321
marina             : 319
9379992            : 316
123789             : 316
zzzzzz             : 308
qqqqqq             : 308
11223344           : 307
dbrnjhbz           : 306
qwertyu            : 303
147258             : 299
12345678910        : 298
232323             : 296
yfnfif             : 294
55555              : 292
aaaaaa             : 291
147852             : 289
fylhtq             : 287
fktrcfylh          : 284
1qazxsw2           : 279
q1w2e3r4           : 278
7654321            : 277

The script that built the top:

import re
import collections

regex = re.compile(r'^([a-zA-Z0-9_.+-]+)@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+:(.+)$')

counter = collections.Counter()

with open('yandex.txt', encoding='ascii', errors='ignore') as file:
    for line in file:
        match = regex.match(line)
        if match:
            # login = match.group(1)
            pass_ = match.group(2)
            counter[pass_] += 1

for pass_, count in counter.most_common(100):
    print('%-19s: %i' % (pass_, count))

Source: Yandex database leak in September 2014 (exact number of mailboxes == 1.261.810)