Python之hmac模块的使用
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)
#!/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)
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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)
#!/usr/bin/env python # -*- coding: utf-8 -*- import hmac digest_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)
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)
#!/usr/bin/env python # -*- coding: utf-8 -*- import hmac import base64 import hashlib with 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base64 print(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
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
#!/usr/bin/env python # -*- coding: utf-8 -*- import hashlib import hmac import io import pickle def 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')
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