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wangshub / wechat_jump_game

微信《跳一跳》Python 辅助
https://zhuanlan.zhihu.com/p/32452473
Apache License 2.0
13.84k stars 4.31k forks source link

抓了个通过随机的脚本，最后提交的包，供大神分析，如果用得上 #961

Closed BMlovePanda closed 6 years ago

BMlovePanda commented 6 years ago

分数1536，提交提示成功，settlement反馈的errcode为0，但是退出重新登陆查看分数还是之前的。 另外，我应该没有彻底黑名单ban掉，因为今天提交了四次分数，第一次不成功、第二次不成功、第三次次成功、第四次不成功（最近这次） {"score":1536,"times":440,"game_data":"{\"seed\":1515147625961,\"action\":[[0.707,1.53,false],[0.455,1.9,false],[0.733,1.39,false],[0.887,1.06,false],[0.59,1.67,false],[0.821,1.23,false],[0.728,1.36,false],[0.406,2,false],[0.681,1.46,false],[0.37,2.04,false],[0.797,1.29,false],[0.393,1.97,false],[0.595,1.6,false],[0.923,1.02,false],[0.445,1.9,false],[0.558,1.7,false],[0.879,1.12,false],[0.954,0.99,false],[0.385,2,false],[0.569,1.63,false],[0.581,1.67,false],[0.591,1.63,false],[0.754,1.33,false],[0.697,1.43,false],[0.587,1.67,false],[0.684,1.56,false],[0.545,1.73,false],[0.39,2,false],[0.429,1.94,false],[0.858,1.19,false],[0.649,1.56,false],[0.577,1.67,false],[0.925,1.02,false],[0.628,1.53,false],[0.505,1.8,false],[0.801,1.23,false],[0.429,1.94,false],[0.876,1.12,false],[0.454,1.87,false],[0.651,1.56,false],[0.395,1.97,false],[0.52,1.73,false],[0.635,1.53,false],[0.318,2.14,false],[0.385,2.04,false],[0.438,1.94,false],[0.685,1.5,false],[0.707,1.39,false],[0.658,1.6,false],[0.82,1.16,false],[0.812,1.26,false],[0.703,1.39,false],[0.772,1.26,false],[0.594,1.63,false],[0.507,1.77,false],[0.514,1.77,false],[0.279,2.21,false],[0.688,1.46,false],[0.63,1.56,false],[0.382,2,false],[0.732,1.36,false],[0.624,1.63,false],[0.875,1.12,false],[0.506,1.77,false],[0.322,2.14,false],[0.555,1.7,false],[0.737,1.39,false],[0.428,1.9,false],[0.611,1.6,false],[0.754,1.33,false],[0.398,1.97,false],[0.49,1.8,false],[0.559,1.7,false],[0.784,1.33,false],[0.803,1.33,false],[0.777,1.26,false],[0.295,2.17,false],[0.772,1.36,false]],\"musicList\":[null,false,false,false,false,false,false,false,false,false,false,false,false,false,false,true,false,false,false,false,true,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,true,false,false,false,false,false,false,false,false,false,false,false,false,false,false,true,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false],\"touchList\":[[206.69121,362.3312],[208.72528,363.26785],[223.68202,353.98312],[204.86922,356.3976],[225.93945,356.1293],[219.39447,363.07495],[232.65764,349.15503],[215.54433,344.13565],[207.41035,345.33154],[234.09882,364.5212],[215.44185,343.52],[208.68092,359.4423],[219.48792,353.77127],[209.10664,351.426],[217.29639,345.87366],[221.12706,349.1848],[201.11714,363.8059],[206.83553,343.01035],[212.92393,357.33133],[219.11717,340.89185],[231.2589,367.88437],[215.11578,348.3467],[207.51312,365.0652],[211.26294,337.31406],[222.6604,360.88147],[225.11462,342.16513],[224.16951,354.70386],[213.71532,360.87216],[222.60144,344.07764],[217.31226,353.97574],[218.7622,346.44315],[202.48592,349.00186],[219.91368,349.0909],[208.14055,354.17728],[205.83893,343.19473],[227.09633,350.99292],[221.6042,342.95837],[203.90797,337.70477],[204.06714,361.1177],[215.2454,361.15012],[217.08852,344.55838],[224.6343,349.88086],[200.55086,344.67188],[228.23584,341.5729],[230.39136,345.56808],[205.37665,346.54153],[232.6204,342.8578],[222.5069,343.33328],[224.45363,353.25418],[221.9276,338.731],[210.65837,354.4144],[202.34709,351.23364],[216.72224,350.13306],[201.58362,356.8707],[211.17683,348.90158],[210.08636,345.28952],[207.54604,366.29102],[203.41228,366.3837],[215.89851,356.9127],[206.89806,341.0892],[204.12611,341.85278],[208.55023,355.494],[223.59853,355.83243],[207.66875,354.75424],[229.14703,357.16504],[221.96419,346.6836],[218.42232,358.56454],[233.01973,361.03683],[224.09868,364.24942],[213.32549,361.42728],[207.70483,357.6683],[232.45667,356.16885],[203.28021,366.83618],[202.27509,356.4326],[232.7104,349.92545],[217.3457,340.34494],[224.29222,361.90247],[270.33334,521]],\"steps\":[[207.19923,354.65176,207.18152,354.91968,207.16945,355.10184,207.15741,355.28403,207.14537,355.4662],[232.33955,411.62027,230.82997,408.52927,229.53603,405.8798,228.5656,403.89273,227.64905,402.01602],[209.91457,362.66415,210.41554,362.34827,210.89796,362.04407,211.19484,361.8569,211.4917,361.66968],[193.1869,523.14233,193.56628,517.72736,193.90643,512.8725,194.09612,510.165,194.32506,506.8973],[210.6855,341.75552,211.50726,342.52988,212.1236,343.1106,212.61151,343.57043,212.98389,343.92126],[217.49812,473.3201,217.55843,469.81418,217.61641,466.44302,217.65584,464.15067,217.69295,461.99326],[218.95361,448.58755,219.41487,445.24057,219.74165,442.86987,220.0684,440.4991,220.3759,438.26773],[194.96461,475.31552,196.19405,467.4788,197.5304,458.9606,198.49257,452.8275,199.26764,447.88705],[183.78468,437.29123,184.54457,434.33347,185.4081,430.97232,185.96074,428.8213,186.58247,426.40125],[171.51616,417.3895,175.10695,414.35608,179.55272,410.60037,182.45955,408.14474,184.93892,406.0503],[196.554,449.1394,197.26854,445.1437,197.8402,441.94717,198.29268,439.41672,198.6381,437.48526],[228.34688,505.85034,227.22096,497.46817,226.34526,490.94876,225.5446,484.98813,224.6439,478.28244],[168.24915,510.0007,170.32114,503.68307,171.78882,499.2081,173.25645,494.73312,174.72414,490.25815],[209.40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BMlovePanda commented 6 years ago

我不是很明白那个musicList的true是什么意思，因为跳的时候我也没注意看。。。

yangfangqun commented 6 years ago

这个touchList的小数点精度太夸张，现在系统第一关是判断你提交的数据，第二关是再次检查服务器里面分数异常高的数据，我的就是第二步给ban掉了。希望你能抓一个手点的数据给大家看一看正常的数据长什么样子，好有个对策。

F-loat commented 6 years ago

手动玩一局抓下包，对比下

wadekun commented 6 years ago

今天刚在知乎看到一位大神的分析，说是小程序内部加了按压点的检测，如果是辅助的话按压点坐标是恒定的。。所以分数不会被统计。

def jump(distance):
    press_time = distance * time_coefficient / 1000
    print('press time: {}'.format(press_time))
    s.tap_hold(hold_x, hold_y, press_time)

简单修改下：

def jump(distance):
    press_time = distance * time_coefficient / 1000
    print('press time: {}'.format(press_time))

    # hold coordinate
    hold_x = random.randint(180, 200)
    hold_y = random.randint(180, 200)
    s.tap_hold(hold_x, hold_y, press_time)

我这里测试了两次成功了。各位不妨再测试下。

mousehaow commented 6 years ago

steps是什么意思？有哪位大神能看懂？

wangshub commented 6 years ago

@wadekun 求分析文章

mousehaow commented 6 years ago

@BMlovePanda 这个数据怎么解得密？

Misakio commented 6 years ago

@wangshub https://zhuanlan.zhihu.com/p/32594563

wadekun commented 6 years ago

@wangshub 抱歉。。电脑端没有手机端的浏览记录。翻了半天没找到。。 就是 @Misakio 发的链接

JChunIC commented 6 years ago

脚本是通过ADB截图实现的，微信会不会检测手机截图行为来判断是否机器跳？ 学生，纯属猜想，今晚发现记录被清了

BMlovePanda commented 6 years ago

我现在跳一跳的分数是1200多分，没有小号，所以没发手动玩到超过这个分数，刚才抓包看了，没有超过最高记录，是没有提交动作的。 另外，上面里说修改随机的，我这个本来就是随机的。

whg517 commented 6 years ago

个人感觉，没啥事别自己玩，每次就玩个几十分，用程序跑个几千几万的，异常数据，肯定引起注意。 还有，USB开启调试，微信会不会也能使用这个，然后做些辅助检测啥的。

BMlovePanda commented 6 years ago

这个是我刚刚用程序跑的1900多分，提交的时候显示成功，但是实际排行榜没有更新。 touch lists中的头三五步，都是手动点击的，通过对比，我觉得程序和手动的小数点精度好像没太大区别。 另外，今天的情况是，提交分数五六次，成功一次，其余均未刷新。

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BMlovePanda commented 6 years ago

谨慎猜测，腾讯还是会根据命中红心的次数来判断是否作弊了。大家可以对比一下我第一份数据和上份数据，相差500份，但是点击次数仅相差6次，一次440，一次446

TTBinary commented 6 years ago

@BMlovePanda 赞同你的说法,我准备把代码名字红心的逻辑修改以下,尽量少命中,然后测试

TTBinary commented 6 years ago

@BMlovePanda 想请教一下怎么抓的包？数据怎么解密，很感兴趣。

mousehaow commented 6 years ago

@BMlovePanda 从数据来看体现不出来中心命中的是否连续以及具体的次数，如果说是单纯来看分数和跳跃步数的关系。。那我对鹅厂的开发人员也是呵呵了。。

HarryDean2010 commented 6 years ago

@wadekun 请问用windows版EXE文件那种脚本的，你说的改动该添加到哪？

BMlovePanda commented 6 years ago

@hj7020580 抓包用的fiddler，解密通过这个地址http://tool.chacuo.net/cryptaes AES加密模式CBC，填充pkcs7，密码和偏移量都选择你抓到数据包的session id的前16位，其他不变。另外，抓包的话，去看settlement这个url里面的action_data

BMlovePanda commented 6 years ago

@mousehaow 提交的数据是看不出来命中红心的次数，我只是猜测，因为我遇到的情况是这样的，有两次1100和1200多分提交成功了，但是都不是立即刷新的，都是延迟了大约几分钟，所以我怀疑他有异常高分检测，至于检测是否关联命中红心次数之类的，就不得而知了。抑或，后台根据你的高分和跳跃次数做关联，如果你之后几次跳跃次数增加的有限，但是分数上涨很多，会判定你作弊，上述都是猜测，我觉得也没法通过抓包或者其他方式验证。当然，如果有人改了代码，每次都避免中心（或者最多连续命中三到五次中心），然后提交一个很高的分数，如果能刷新，我觉得就可以排除我的猜测。

BMlovePanda commented 6 years ago

另外我的跳一跳已经彻底凉了，周末没事干刷了个1900，然后直接被清零，现在只能在自己的排行榜看到分数，其他人都是0.。。。。所以估计也没法做一些验证了。