Cat app data decryption check prices

By recent study of enterprise search cat a few days, has been successfully checked the prices respond cat data encryption and decryption of data encryption is complete.
And data before Kai Xinbao APP decryption operation is basically the same, but check prices cat requests and responses are encrypted using aes, get caught when you can see that specific packet capture can own try.
Cats enterprise search request is a request for data encryption form "{\"ad_search_type\":0,\"ad_state\":false,\"option\":4,\"u_id\":\59277\",\"u_name\":\"qcm_002004\"}")similar to this has now been tested with the relevant hook tool, before the test machine is not in the body, temporarily unable to put the map,
the final encrypted data is similar to this:
64af8lcj1Qn9ka60xMMrkixPwolAAjCUF0SEvArlWPBTEJmDLlnqw/0BkQE5HcM6hfQhaIwytc5XKmcQV/RpN1AH/wfP9eeLXfXRoNoGocnVCbKoNasiknMH1HLoPRU(Data that has been modified Can not decrypt)

对于响应数据的解密也是使用aes:
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```解密之后是:
{"oc_list":[{"ex_contacts_count":0,"ex_contacts":[],"cu_name":null,"cu_id":0,"brand_remark":"","brand":"","div_creditcode":"9144 0300 MA5F RE9J 8......太长了
响应分别是b和h,分表代表了body数据和head数据,上边是b数据,h是下面的解密数据:
{"ver":"1.0.0.0","txt":"","act":0,"code":0,"img_ver":"V33.10","qcm_img_ver":"V17.8","act_type":2,"act_title":"提示","act_img_url":null,"act_pager_url":null}

By looking at the source code, it is possible later in the app use secret key in the form of tape inside aes h, the decryption of the data b.
Finally, put a picture of it
Lastly, I hope the company can do to be able to offset aes encryption time of the complex, and now the latest version of the app you can really see a direct offset.
The above analysis only for learning exchanges, please do not reprint and dissemination.

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Origin www.cnblogs.com/xbjss/p/11479839.html
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