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import math
import timeit
import hashlib
from django.utils import unittest
from django.utils.crypto import pbkdf2
class TestUtilsCryptoPBKDF2(unittest.TestCase):
# http://tools.ietf.org/html/draft-josefsson-pbkdf2-test-vectors-06
rfc_vectors = [
{
"args": {
"password": "password",
"salt": "salt",
"iterations": 1,
"dklen": 20,
"digest": hashlib.sha1,
},
"result": "0c60c80f961f0e71f3a9b524af6012062fe037a6",
},
{
"args": {
"password": "password",
"salt": "salt",
"iterations": 2,
"dklen": 20,
"digest": hashlib.sha1,
},
"result": "ea6c014dc72d6f8ccd1ed92ace1d41f0d8de8957",
},
{
"args": {
"password": "password",
"salt": "salt",
"iterations": 4096,
"dklen": 20,
"digest": hashlib.sha1,
},
"result": "4b007901b765489abead49d926f721d065a429c1",
},
# # this takes way too long :(
# {
# "args": {
# "password": "password",
# "salt": "salt",
# "iterations": 16777216,
# "dklen": 20,
# "digest": hashlib.sha1,
# },
# "result": "eefe3d61cd4da4e4e9945b3d6ba2158c2634e984",
# },
{
"args": {
"password": "passwordPASSWORDpassword",
"salt": "saltSALTsaltSALTsaltSALTsaltSALTsalt",
"iterations": 4096,
"dklen": 25,
"digest": hashlib.sha1,
},
"result": "3d2eec4fe41c849b80c8d83662c0e44a8b291a964cf2f07038",
},
{
"args": {
"password": "pass\0word",
"salt": "sa\0lt",
"iterations": 4096,
"dklen": 16,
"digest": hashlib.sha1,
},
"result": "56fa6aa75548099dcc37d7f03425e0c3",
},
]
regression_vectors = [
{
"args": {
"password": "password",
"salt": "salt",
"iterations": 1,
"dklen": 20,
"digest": hashlib.sha256,
},
"result": "120fb6cffcf8b32c43e7225256c4f837a86548c9",
},
{
"args": {
"password": "password",
"salt": "salt",
"iterations": 1,
"dklen": 20,
"digest": hashlib.sha512,
},
"result": "867f70cf1ade02cff3752599a3a53dc4af34c7a6",
},
{
"args": {
"password": "password",
"salt": "salt",
"iterations": 1000,
"dklen": 0,
"digest": hashlib.sha512,
},
"result": ("afe6c5530785b6cc6b1c6453384731bd5ee432ee"
"549fd42fb6695779ad8a1c5bf59de69c48f774ef"
"c4007d5298f9033c0241d5ab69305e7b64eceeb8d"
"834cfec"),
},
]
def test_public_vectors(self):
for vector in self.rfc_vectors:
result = pbkdf2(**vector['args'])
self.assertEqual(result.encode('hex'), vector['result'])
def test_regression_vectors(self):
for vector in self.regression_vectors:
result = pbkdf2(**vector['args'])
self.assertEqual(result.encode('hex'), vector['result'])
def test_performance_scalability(self):
"""
Theory: If you run with 100 iterations, it should take 100
times as long as running with 1 iteration.
"""
n1, n2 = 1000, 100000
elapsed = lambda f: timeit.Timer(f, 'from django.utils.crypto import pbkdf2').timeit(number=1)
t1 = elapsed('pbkdf2("password", "salt", iterations=%d)' % n1)
t2 = elapsed('pbkdf2("password", "salt", iterations=%d)' % n2)
measured_scale_exponent = math.log(t2 / t1, n2 / n1)
# This should be less than 1. We allow up to 1.1 so that tests don't
# fail nondeterministically too often.
self.assertLess(measured_scale_exponent, 1.1)
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