def _relative_distance(self, a, b):
"""
Calculates the distance between two responses based on the levenshtein
distance
:return: The distance
"""
return 1 - relative_distance(a.get_body(), b.get_body())
def _analyze_responses(self, orig_resp, limit_response, error_response,
mutant):
"""
Analyze responses; if error_response doesn't look like orig_resp nor
limit_response, then we have a vuln.
:return: None
"""
original_to_error = relative_distance(orig_resp.get_body(),
error_response.get_body())
limit_to_error = relative_distance(limit_response.get_body(),
error_response.get_body())
original_to_limit = relative_distance(limit_response.get_body(),
orig_resp.get_body())
ratio = self._diff_ratio + (1 - original_to_limit)
#om.out.debug('original_to_error: ' + str(original_to_error) )
#om.out.debug('limit_to_error: ' + str(limit_to_error) )
#om.out.debug('original_to_limit: ' + str(original_to_limit) )
#om.out.debug('ratio: ' + str(ratio) )
if original_to_error < ratio and limit_to_error < ratio:
# Maybe the limit I requested wasn't really a non-existant one
# (and the error page really found the limit),
# let's request a new limit (one that hopefully doesn't exist)
# in order to remove some false positives
limit_response2 = self._get_limit_response(mutant)
id_list = [orig_resp.id, limit_response.id, error_response.id]
if relative_distance(limit_response2.get_body(), limit_response.get_body()) > \
1 - self._diff_ratio:
# The two limits are "equal"; It's safe to suppose that we have found the
# limit here and that the error string really produced an error
self._potential_vulns.append(
(mutant.get_url(), mutant.get_var(), mutant, id_list))
def test_all(self):
acceptance_tests = []
acceptance_tests.append(('a', 'a', 1.0))
acceptance_tests.append(('a', 'a', 0.1))
acceptance_tests.append(('a', 'a', 0.0))
acceptance_tests.append(('a', 'b', 1.0))
acceptance_tests.append(('a', 'b', 0.1))
acceptance_tests.append(('a', 'b', 0.0))
acceptance_tests.append(('a', 'ab', 1.0))
acceptance_tests.append(('a', 'ab', 0.1))
acceptance_tests.append(('a', 'b', 0.0000000000000000001))
acceptance_tests.append(('a', 'b' * 100, 1.0))
acceptance_tests.append(('a', 'ab', 0.66666666666))
acceptance_tests.append(('a', 'aab', 0.5))
acceptance_tests.append(('a', 'aaab', 0.4))
acceptance_tests.append(
('a', 'aaaab',
0.33333333333333333333333333333333333333333333333333333333))
acceptance_tests.append(('a' * 25, 'a', 1.0))
acceptance_tests.append(('aaa', 'aa', 1.0))
acceptance_tests.append(('a', 'a', 1.0))
acceptance_tests.append(('a' * 25, 'a', 0.076923076923076927))
acceptance_tests.append(('aaa', 'aa', 0.8))
acceptance_tests.append(('a', 'a', 0.0))
for e, d, f in acceptance_tests:
res1 = relative_distance_boolean(e, d, f)
res2 = relative_distance(e, d) >= f
msg = 'relative_distance_boolean and relative_distance returned'\
' different results for the same parameters:\n'\
' - %s\n'\
' - %s\n'\
' - Threshold: %s\n'\
self.assertEqual(res1, res2, msg % (e, d, f))
def test_all(self):
acceptance_tests = []
acceptance_tests.append(('a', 'a', 1.0))
acceptance_tests.append(('a', 'a', 0.1))
acceptance_tests.append(('a', 'a', 0.0))
acceptance_tests.append(('a', 'b', 1.0))
acceptance_tests.append(('a', 'b', 0.1))
acceptance_tests.append(('a', 'b', 0.0))
acceptance_tests.append(('a', 'ab', 1.0))
acceptance_tests.append(('a', 'ab', 0.1))
acceptance_tests.append(('a', 'b', 0.0000000000000000001))
acceptance_tests.append(('a', 'b' * 100, 1.0))
acceptance_tests.append(('a', 'ab', 0.66666666666))
acceptance_tests.append(('a', 'aab', 0.5))
acceptance_tests.append(('a', 'aaab', 0.4))
acceptance_tests.append(('a', 'aaaab', 0.33333333333333333333333333333333333333333333333333333333))
acceptance_tests.append(('a' * 25, 'a', 1.0))
acceptance_tests.append(('aaa', 'aa', 1.0))
acceptance_tests.append(('a', 'a', 1.0))
acceptance_tests.append(('a' * 25, 'a', 0.076923076923076927))
acceptance_tests.append(('aaa', 'aa', 0.8))
acceptance_tests.append(('a', 'a', 0.0))
for e, d, f in acceptance_tests:
res1 = relative_distance_boolean(e, d, f)
res2 = relative_distance(e, d) >= f
msg = 'relative_distance_boolean and relative_distance returned'\
' different results for the same parameters:\n'\
' - %s\n'\
' - %s\n'\
' - Threshold: %s\n'\
self.assertEqual(res1, res2, msg % (e, d, f))