Python之hmac模块的使用,,hmac模块的作用:


hmac模块的作用:

  用于验证信息的完整性。

1、hmac消息签名(默认使用MD5加算法)

技术图片
#!/usr/bin/env python# -*- coding: utf-8 -*-import hmac#默认使用是md5算法digest_maker = hmac.new(‘secret-shared-key‘.encode(‘utf-8‘))with open(‘content.txt‘, ‘rb‘) as f:    while True:        block = f.read(1024)        if not block:            break        digest_maker.update(block)digest = digest_maker.hexdigest()print(digest)
hmac_md5.py技术图片
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content.txt

运行效果

[root@ mnt]# python3 hmac_md5.py 79cbf5942e8f67be558bc28610c02117

2、hmac消息签名摘要(使用SHA1加算法)

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#!/usr/bin/env python# -*- coding: utf-8 -*-import hmacdigest_maker = hmac.new(‘secret-shared-key‘.encode(‘utf-8‘), b‘‘, digestmod=‘sha1‘)# hmac.new(key,msg,digestmod)#  key:加盐的key,#  msg:加密的内容,#  digestmod:加密的方式with open(‘hmac_sha1.py‘, ‘rb‘) as f:    while True:        block = f.read(1024)        if not block:            break        digest_maker.update(block)digest = digest_maker.hexdigest()print(digest)
hmac_sha1.py

运行效果

[root@ mnt]# python3 hmac_sha1.py e5c012eac5fa76a274f77ee678e6cc98cad8fff9

3、hmac二进制消息签名摘要(使用SHA1加算法)

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#!/usr/bin/env python# -*- coding: utf-8 -*-import hmacimport base64import hashlibwith open(‘test.py‘, ‘rb‘) as f:    body = f.read()# 默认使用是md5算法digest_maker = hmac.new(‘secret-shared-key‘.encode(‘utf-8‘), body, hashlib.sha1)# hmac.new(key,msg,digestmod)#  key:加盐的key,# msg:加密的内容,# digestmod:加密的方式digest = digest_maker.digest()  # 默认内容是字节类型,所以需要base64print(base64.encodebytes(digest)) #注意base64结果是以\n结束,所以Http头部或其它传输时,需要去除\n
hmac_base64.py

运行效果

[root@ mnt]# python3 hmac_base64.py b‘Y9a4OMRqU4DB6Ks/hGfru+MNXAw=\n‘

4、hmac摘要数据比较示例

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#!/usr/bin/env python# -*- coding: utf-8 -*-import hashlibimport hmacimport ioimport pickledef make_digest(message):    "返消息摘要,加密码后的结果"    hash = hmac.new(        ‘secret-shared-key‘.encode(‘utf-8‘),        message,        hashlib.sha1    )    return hash.hexdigest().encode(‘utf-8‘)class SimpleObject(object):    def __init__(self, name):        self.name = name    def __str__(self):        return self.name# 输出缓冲区out_s = io.BytesIO()o = SimpleObject(‘digest matches‘)pickle_data = pickle.dumps(o)  # 序列化digest = make_digest(pickle_data)  # 使用sha1加密算法header = b‘%s   %d\n‘ % (digest, len(pickle_data))print(‘提示:{}‘.format(header))out_s.write(header)  # 将消息头写入缓冲区out_s.write(pickle_data)  # 将序列化内容写入缓冲区o = SimpleObject(‘digest does not matches‘)pickle_data = pickle.dumps(o)digest = make_digest(b‘not the pickled data at all‘)header = b‘%s   %d\n‘ % (digest, len(pickle_data))print(‘提示:{}‘.format(header))out_s.write(header)  # 将消息头写入缓冲区out_s.write(pickle_data)  # 将序列化内容写入缓冲区out_s.flush()  # 刷新缓冲区# 输入缓冲区in_s = io.BytesIO(out_s.getvalue())while True:    first_line = in_s.readline()    if not first_line:        break    incoming_digest, incoming_length = first_line.split(b‘   ‘)    incoming_length = int(incoming_length.decode(‘utf-8‘))    print(‘读取到:‘, incoming_digest, incoming_length)    incoming_pickled_data = in_s.read(incoming_length)    actual_digest = make_digest(incoming_pickled_data)  # 实际的摘要    print(‘实际值:‘, actual_digest)    if hmac.compare_digest(actual_digest, incoming_digest):  # 比较两个摘要是否相等        obj = pickle.loads(incoming_pickled_data)        print(‘OK:‘, obj)    else:        print(‘数据不完整‘)
hmac_pickle.py

运行效果

[root@ mnt]# python3 hmac_pickle.py 提示:b‘00e080735a8de379e19fe2aa731c92fc9253a6e2   69\n‘提示:b‘1d147690f94ea374f6f8c3767bd5a5f9a8989a53   78\n‘读取到: b‘00e080735a8de379e19fe2aa731c92fc9253a6e2‘ 69实际值: b‘00e080735a8de379e19fe2aa731c92fc9253a6e2‘OK: digest matches读取到: b‘1d147690f94ea374f6f8c3767bd5a5f9a8989a53‘ 78实际值: b‘4dcaad9b05bbb67b571a64defa52e8960a27c45d‘数据不完整

Python之hmac模块的使用

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