Python各种加密逻辑

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Python各种加密逻辑

2023-03-13 06:23| 来源: 网络整理| 查看: 265

Python各种加密逻辑

在我们进行js逆向的时候. 总会遇见一些我们人类无法直接能理解的东西出现. 此时你看到的大多数是被加密过的密文.

一. 一切从MD5开始

MD5是一个非常常见的摘要(hash)算法.. 其特点就是小巧. 速度快. 极难被破解(王小云女士). 所以, md5依然是国内非常多的互联网公司选择的密码摘要算法.

这玩意不可逆. 所以. 摘要算法就不是一个加密逻辑.

相同的内容计算出来的摘要应该是一样的

不同的内容(哪怕是一丢丢丢丢丢不一样) 计算出来的结果差别非常大

在数学上. 摘要其实计算逻辑就是hash.

hash(数据) => 数字

1. 密码 2. 一致性检测

md5的python实现:

from hashlib import md5 obj = md5() obj.update("alex".encode("utf-8")) # obj.update("wusir".encode('utf-8')) # 可以添加多个被加密的内容 bs = obj.hexdigest() print(bs)

我们把密文丢到网页里. 发现有些网站可以直接解密. 但其实不然. 这里并不是直接解密MD5. 而是"撞库".

就是它网站里存储了大量的MD5的值. 就像这样:

而需要进行查询的时候. 只需要一条select语句就可以查询到了. 这就是传说中的撞库.

如何避免撞库: md5在进行计算的时候可以加盐. 加盐之后. 就很难撞库了.

from hashlib import md5 salt = "我是盐.把我加进去就没人能破解了" obj = md5(salt.encode("utf-8")) # 加盐 obj.update("alex".encode("utf-8")) bs = obj.hexdigest() print(bs)

扩展; sha256

from hashlib import sha1, sha256 sha = sha256(b'salt') sha.update(b'alex') print(sha.hexdigest())

不论是sha1, sha256, md5都属于摘要算法. 都是在计算hash值. 只是散列的程度不同而已. 这种算法有一个特性. 他们是散列. 不是加密. 而且, 由于hash算法是不可逆的, 所以不存在解密的逻辑.

二. URLEncode和Base64

在我们访问一个url的时候总能看到这样的一种url

https://www.sogou.com/web?query=%E5%90%83%E9%A5%AD%E7%9D%A1%E8%A7%89%E6%89%93%E8%B1%86%E8%B1%86&_asf=www.sogou.com&_ast=&w=01019900&p=40040100&ie=utf8&from=index-nologin&s_from=index&sut=3119&sst0=1630994614300&lkt=0%2C0%2C0&sugsuv=1606978591882752&sugtime=1630994614300

此时会发现, 在浏览器上明明是能看到中文的. 但是一旦复制出来. 或者在抓包工具里看到的. 都是这种%. 那么这个%是什么鬼? 也是加密么?

非也, 其实我们在访问一个url的时候. 浏览器会自动的进行urlencode操作. 会对我们请求的url进行编码. 这种编码规则被称为百分号编码. 是专门为url(统一资源定位符)准备的一套编码规则.

一个url的完整组成:

scheme://host:port/dir/file?p1=v1&p2=v2#anchor http ://www.baidu.com/tieba/index.html?name=alex&age=18 参数: key=value 服务器可以通过key拿value

此时. 如果参数中出现一些特殊符号. 比如'=' 我想给服务器传递a=b=c这样的参数. 必然会让整个URL产生歧义.

所以, 把url中的参数部分转化成字节. 每字节的再转化成2个16进制的数字. 前面补%.

看着很复杂. 在python里. 直接一步到位

from urllib.parse import urlencode, unquote, quote # 单独编码字符串 wq = "米饭怎么吃" print(quote(wq)) # %E7%B1%B3%E9%A5%AD%E6%80%8E%E4%B9%88%E5%90%83 print(quote(wq, encoding="gbk")) # %C3%D7%B7%B9%D4%F5%C3%B4%B3%D4 # 多个数据统一进行编码 dic = { "wq": "米饭怎么吃", "new_wq": "想怎么吃就怎么吃" } print(urlencode(dic)) # wq=%E7%B1%B3%E9%A5%AD%E6%80%8E%E4%B9%88%E5%90%83&new_wq=%E6%83%B3%E6%80%8E%E4%B9%88%E5%90%83%E5%B0%B1%E6%80%8E%E4%B9%88%E5%90%83 print(urlencode(dic, encoding="utf-8")) # 也可以指定字符集 # 一个完整的url编码过程 base_url = "http://www.baidu.com/s?" params = { "wd": "大王" } url = base_url + urlencode(params) print(url) # http://www.baidu.com/s?wd=%E5%A4%A7%E7%8E%8B

解码

s = "http://www.baidu.com/s?wd=%E5%A4%A7%E7%8E%8B" print(unquote(s)) # http://www.baidu.com/s?wd=大王 """ www.baidu.com -> dns服务器 -> ip地址 http协议.默认的端口是80 https协议. 默认的端口是443 ip地址 -> 200.158.104.39 协议://域名(ip+端口)/虚拟路径/..../资源?参数1=参数1&参数2=值2#锚点协议://域名(ip+端口)/虚拟路径/..../小红.html?username=sylar&mima=123456#锚点 http://www.baidu.com -> ip: 80 https://www.baidu.com -> ip: 443 https://wx3.sinaimg.cn/mw690/decc1dc3ly1hbc9ojq0ucj21hc0u07wh.jpg urlencode是什么 ???? https://qiaofu.com/videos/小红.html?username=sylar&mima=123456#锚点不正常的: 用户名 &fuck=123 %EAfuck%EA123 https://qiaofu.com/videos/小红.html?username=%EAfuck%EA123&mima=123456#锚点把用户输入的一些特殊符号. 进行编码处理 %EA """ # from urllib.parse import urlencode # # urlencode可以帮你完成url的处理. 但是. 请注意, 它只能处理字典.... # data = { # "username": "&fuck=123", # "password": "123456" # } # # r = urlencode(data) # # print(r) # print(urlencode("&fuck=123")) # 报错 # # # 只能处理字典 -> 处理的结果应该和url拼接 # # 我们所使用的requests模块. 可以自动帮我们完成urlencode的过程. # # 所以, 我们并不需要去单独处理urlencode # import requests # requests.get("xxxx", params=data) # 它内部已经完成了urlencode的过程 # 在逆向的过程中. 有可能需要我们在处理cookie的时候. 需要进行手动的urlencode # urlencode没办法帮我们完成一个字符串的处理. # # quote和quote_plus 可以帮你完成字符串的处理取值范围 -> 0-63 -> 64个取值的可能 # 38 37 52 61 # 数组[38]+数组[37] + 数组[52] + 数组[61] # aZ9+ # 111111 # python直接提供base64模块. 可以直接使用 import base64 s = "我爱上天".encode("utf-8") print(s) # b'\xe6\x88\x91\xe7\x88\xb1\xe4\xb8\x8a\xe5\xa4\xa9' bs = b'\xe6\x88\x91\xe7\x88\xb1\xe4\xb8\x8a\xe5\xa4\xa9' s = base64.b64encode(bs) # 字节 -> base64方向走 # b'5oiR54ix5LiK5aSp' print(s.decode("utf-8")) # 5oiR54ix5LiK5aSp # 需要你记住的一句话把字节处理成base64字符串 base64_str = base64.b64encode(bs).decode() print(base64_str) # 5oiR54ix5LiK5aSp # import base64 # # s = "5oiR54ix5LiK5aSp" # # # 还原成字节 # bs = base64.b64decode(s) # print(bs) import base64 # # 另类的问题, base64的末尾有可能是= 作为填充的. s = "2i1ohdkljfkldasjflkdasjfdalsz" bs = s.encode("utf-8") bs_64 = base64.b64encode(bs).decode() print(bs_64) # Mmkxb2hka2xqZmtsZGFzamZsa2Rhc2pmZGFsc3o= print(len(bs_64) % 4) # 另类的问题, base64 既然可以把字节处理成字符串. # 有的网站就会把一些小的图片(头像, 图标) -> base64 # s = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAcAAAAFCAYAAACJmvbYAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QAAAAAAAD5Q7t/AAAACXBIWXMAABYlAAAWJQFJUiTwAAAAJklEQVQI12NgwAEsuv/8xy9h3vX7P6oEKp/BHCqA0yhzdB0MDAwAFXkTK5la4mAAAAAASUVORK5CYII=" # # 如何保存成图片 # s = s.split(",")[1] # bs = base64.b64decode(s) # with open("xxx.png", mode="wb") as f: # f.write(bs) # # 特殊情況。有的网站会把base64进行特殊的处理. 把+替换成- 把/替换成_ # # 应对方案一. replace("-", "+").replace("_", "/") # # 应对方案二. 用base64 自动处理 # s = "Z21kD9ZK1ke6ugku2ccWu-MeDWh3z252xRTQv-wZ6jddVo3tJLe7gIXz4PyxGl73nSfLAADyElSjjvrYdCvEP4pfohVVEX1DxoI0yhm36ytQNvu-WLU94qULZQ72aml6cYBVU_O5b4O-ND0rEWbfEEp-CNsPQEwjRV-iM008hyg4psnuxT9hhBXjpzH8uzBxqR9VBh9v2T35qVb4ipPvX70IaGcbG17rvXyras-RWT24bdytS47IgDmQVMfd1cQrTyDVZo1ByopBhc63S3QOKtcY7Aip1m9eLirsRpmecA4zC-0 Pn2FSpsOJi3Gw6g2Cy8ryt-pnNGsoO2wf_9lWV4Y7LHqAeQfAMcFERawC1PVDQzouFE2Xvyw20H4XCtJMvcdMgnQgmpo42vaU4Uj6SbNLQbWjrCEXEtcrKu9AVGU03oJeo_Stun9oboBASa5gzP7pecQ8NPIB9xciY5O_jk_QuNG-vZVRdTecK1qSEHMpuSgM5dRMN9iTCD93qAwQYE5qOMCuOfeNnWhUewho3XJfMewpsDstvjSesdXfR5rtrrydSw76xvqQotdSH7J0RAUGjj5Wv-WVxelEFbDYQpPvOWHg3wXOa1pORzELoEG6v8_WR5_5C-buAoAC4d9xa1O76dd1nj1e_NzvdicnBPNj0HSt_APXvtqDzmBLEZUwa9b5_ZhgyJldGwdWHzLwxx8xPM34M_YlW28J8msT5RBMgPv9ahAJSsKQReQD4pboP2cwxWC9yPeloFc68TOLIeSrMvXrT8aJw8S5MpAX0C3-2 yN8g0RY80n9QjzsnHIgwXERlrw66hMOHch4DIp-AvbPZl9WTncFPL_A2x-Y4EVkUtvV_JNzDJsVgoITdkekhKHkFmAyMwvKbYvW9-4 pFisyOozkh83rko35YZSqDvvIXEWZyWVpGld2SI_xESEP82gtzgrplZzUuVq_WVDegypnD5DZmZsidnHkau-j5FSYwpivm-96 QgVDIBuYTjvV9Lv9GatSYyZBCjjx0Xi8I-JuH3x12GITyiXmmn5xjbvpLQSBVly_urZpNy1SnH2XCVrZOOauAy_ZgAByrlGlhzxBuGL_fBd2r6Lv4kERgaD6tnGVlBk2inBiPbW8Sex90bE7g0T5ps6w4_jzVmcmQZ-M2cX7u1y7mlV_vF-puzU81na5nvQIaJmWQn0_9-466 JGALXEaW7CHb-BqNZTCdLYJgj6n-DbX9sZs8raeEeJsE3aK1P4YmnUgn6wQHQCYLKmDzTC79KoL-6 eCpHe2VD-P48bDfCKLOrqSeLYiWKnZyTAq42h-f9zZtd-fapb4sHO8O0IUF_6DBQ987P9-dvJhghTj8_UIpMjFqBrGDJbnhbGy5Yjn_G1uUtT1usUGwFoBuEJ96r_VPKlxXYjqrgaW3w3ElKr2pEfkKhTKDSLL_inlWGYhTogPsRX8kJubNsZ5V9FcmU2tlGFh5dlDwA-fTTQunsrLt_G40RrK0iWqSvyEjMZi7DqzdeITNK_sk1OlYMguTK6z12P4tzKgV3Ynq6Xo9ToRQE_g9oSH1OEo8mUw7AQ8dNi7FxXjpAJHbfdbKwIjAqUeOfCUJ3UVBMGGR5Um4w80nDvf-gLaxdCePHELy_ev8E-s3K5kADoaE9iFcM5Kz8N_4bfZ_trx6-LufqiDUcT4rNKa42o3pEOUeS9m61MLyRLp2O1YwxypYPNUbl8yK8Q_gTBrTQK3bfo3hs0vDYTpIL1CBLjMNTfip6nv_mE7mZzhOweBpGyoYl1k3kOPSc_0fviR0jdaeYPsaHx-R1V1erV0okwp8kexYr_5FqyFXEnJxGATUoCY5Tc6OfgOh7grXUnVhf2aTG6Uc1ODQk2_h0DkxlFcwUXJf45N3LadYQDs6nN10tiyh6yTL5aZADP1JGgAFAWpXW4GFzIWf4DmjQ3VQKhulLeUEFHOuJgUmzWQtrV831E4EYBVhWAH5050MrhsPbcd1tvYDnvdEOmSi-pUmu7MWoxK95rzfo71bgUHdEbFN3IDSVbYtUYYwegifnjFS17dcyP2q6HTIygor00eEarvj32vWH7TENiqonqGLOuWYcLeRtjRtblY6MAlDvSSxEDeg4cO5PD-MtsgIMvUnGxYUafUp8uAKR1E4LKwA9VLYM5Bl5RMVDLtYyqsUn5zBOZU" # # bs = base64.b64decode(s, b"-_") # print(bs) # # 如果上述转化后. 进行解密操作后. 发现数据不对. 或者根本无法解密, 调换一下顺序即可 # binascii # 所有的东西. 到了内存层面都是字节 -> 8个二进制 -> 数字 -> 十六进制 bs = "abcd我喜欢吃黄瓜".encode("utf-8") # 打印出来的东西b'\xe6\x88\x91\xe5\x96\x9c\xe6\xac\xa2\xe5\x90\x83\xe9\xbb\x84\xe7\x93\x9c' # 组成:每个字节的十六进制. bs = str(bs)[1:].strip("'").replace("\\x", "") print(bs) # abcde68891e5969ce6aca2e59083e9bb84e7939c # 字符串可以转化成十六进制的数字. # 上述只是为了理解. 真正的转化逻辑对每个字节: 字节 -> 8个二进制 -> 数字 -> 十六进制 s = "b" # => 1100001 print(hex(ord(s))) # 0x62 # 61626364e68891e5969ce6aca2e59083e9bb84e7939c # 字节可以表示成十六进制 -> 7 import binascii # 十六进制(ascii)和字节(byte)之间转化 bs = "abcd我喜欢吃黄瓜".encode("utf-8") result = binascii.b2a_hex(bs) print(result) # b'61626364e68891e5969ce6aca2e59083e9bb84e7939c' s = "61626364e68891e5969ce6aca2e59083e9bb84e7939c" print(binascii.a2b_hex(s)) # b'abcd\xe6\x88\x91\xe5\x96\x9c\xe6\xac\xa2\xe5\x90\x83\xe9\xbb\x84\xe7\x93\x9c' # # 转化关系. 两个数字 -> 一个字节. # # '08149da73c59ce62555b01e92f34e838' => 加密或者解密需要的是16位 key = binascii.a2b_hex('08149da73c59ce62555b01e92f34e838') print(key) # b'\x08\x14\x9d\xa7 两位十六进制的数字 s2 = binascii.b2a_hex(mi).decode() print(s2) # 9799f58ac4e6cee12a0dfc8ebbe4c943c59b4e9f595a46cff3d52a18d704eba338e7ecfbe2b0e04366d450e3ef876f80 # # # # # \x97 -> 97 -> 151 # # # 97 => 十六进制数字 => 十进制在任何地方可以认为 151 -> 一个字节 \x97 # # # 前端没有bytes... [151, 152, 69, 38, 57, 63, 172, 213] # # # 有时候看到一个数组. 莫名其妙的一堆数字. 数字不会大于255 大概率这个数组是一个bytes

AES解密

mi = 'l5n1isTmzuEqDfyOu+TJQ8WbTp9ZWkbP89UqGNcE66M45+z74rDgQ2bUUOPvh2+A' # 解密逻辑 (对称加密里)加密和解密逻辑几乎一样.. aes = AES.new(key=b'1234567890123456', IV=b'1234567890123456', mode=AES.MODE_CBC) mi = base64.b64decode(mi) ming = aes.decrypt(mi) print(ming.decode('utf-8')) # 威海龙王和东海龙王谁更猛!!!!! ming = unpad(ming, 16) # 干掉填充即可 print(ming.decode("utf-8")) # 威海龙王和东海龙王谁更猛!!!!! 3.2 DES

old

# DES加密解密 from Crypto.Cipher import DES # key: 8个字节 des = DES.new(b"alexissb", mode=DES.MODE_CBC, IV=b"01020304") data = "我要吃饭".encode("utf-8") # # 需要加密的数据必须是16的倍数 # # 填充规则: 缺少数据量的个数 * chr(缺少数据量个数) pad_len = 8 - len(data) % 8 data += (pad_len * chr(pad_len)).encode("utf-8") bs = des.encrypt(data) print(bs) # 解密 des = DES.new(key=b'alexissb', mode=DES.MODE_CBC, IV=b"01020304") data = b'6HX\xfa\xb2R\xa8\r\xa3\xed\xbd\x00\xdb}\xb0\xb9' result = des.decrypt(data) print(result.decode("utf-8"))

new

from Crypto.Cipher import DES from Crypto.Util.Padding import pad, unpad # 填充 import base64 s = "我爱吃鱼" ming = s.encode("utf-8") des = DES.new(key=b'12345678', iv=b'12345678', mode=DES.MODE_CBC) ming = pad(ming, 8) # 填充到8位 mi = des.encrypt(ming) mi_s = base64.b64encode(mi).decode() print(mi_s) # bXZ8WcOzh/SW0yuFPTTZog== mi_s = "bXZ8WcOzh/SW0yuFPTTZog==" des = DES.new(key=b'12345678', iv=b'12345678', mode=DES.MODE_CBC) ming = des.decrypt(base64.b64decode(mi_s)) ming = unpad(ming, 8) print(ming.decode("utf-8")) 四.非对称加密

非对称加密. 加密和解密的秘钥不是同一个秘钥. 这里需要两把钥匙. 一个公钥, 一个私钥. 公钥发送给客户端. 发送端用公钥对数据进行加密. 再发送给接收端, 接收端使用私钥来对数据解密. 由于私钥只存放在接受端这边. 所以即使数据被截获了. 也是无法进行解密的.

常见的非对称加密算法: RSA, DSA等等, 我们就介绍一个. RSA加密, 也是最常见的一种加密方案

4.1 RSA加密解密 4.1.1 创建公钥和私钥 from Crypto.PublicKey import RSA from Crypto.Cipher import PKCS1_v1_5 from Crypto import Random import base64 # 随机 gen_random = Random.new # 生成秘钥 rsakey = RSA.generate(1024) with open("rsa.public.pem", mode="wb") as f: f.write(rsakey.publickey().exportKey()) with open("rsa.private.pem", mode="wb") as f: f.write(rsakey.exportKey()) 4.1.2 加密 # 加密 data = "我要吃饭了" with open("rsa.public.pem", mode="r") as f: pk = f.read() rsa_pk = RSA.importKey(pk) rsa = PKCS1_v1_5.new(rsa_pk) result = rsa.encrypt(data.encode("utf-8")) # 处理成b64方便传输 b64_result = base64.b64encode(result).decode("utf-8") print(b64_result) 4.1.3 解密 data = "e/spTGg3roda+iqLK4e2bckNMSgXSNosOVLtWN+ArgaIDgYONPIU9i0rIeTj0ywwXnTIPU734EIoKRFQsLmPpJK4Htte+QlcgRFbuj/hCW1uWiB3mCbyU3ZHKo/Y9UjYMuMfk+H6m8OWHtr+tWjiinMNURQpxbsTiT/1cfifWo4=" # 解密 with open("rsa.private.pem", mode="r") as f: prikey = f.read() rsa_pk = RSA.importKey(prikey) rsa = PKCS1_v1_5.new(rsa_pk) result = rsa.decrypt(base64.b64decode(data), gen_random) print(result.decode("utf-8")) 五. 肝个案例看看

我们以https://www.endata.com.cn/BoxOffice/BO/Year/index.html为案例. 来完成该网站数据解密

分析:

很明显, 该网站的数据是经过加密的. 接下来. 我们到Initiator里看看.

接下来就是逆向的过程了... 各位..还是看视频吧. 视频里有详细的分析过程.

给出完整破解代码

import binascii # 二进制和ascii之间转换 from Crypto.Cipher import DES def func(a, b, c): if b == 0: return a[c:] d = a[:b] + a[b+c:] return d def process(data): e = int(data[len(data)-1], base=16) + 9 f = int(data[e], base=16) data = func(data, e, 1) e = data[f:f+8] data = func(data, f, 8) jiemi(data, str(e), str(e)) def jiemi(data, key, iv): des = DES.new(key.encode("utf-8"), mode=DES.MODE_ECB) # de_text = base64.standard_b64decode(data) # 十六进制表示的二进制数据 -> 十六进制 -> 二进制 print(binascii.a2b_hex(data)) ee = des.decrypt(binascii.a2b_hex(data)) print(ee.decode("utf-8")) if __name__ == '__main__': data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process(data)

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Python各种加密逻辑

Python各种加密逻辑

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