How to use the padding.PKCS1_v15.HEADER function in Padding
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alexmgr / pybleach / padding.py View on Github 
>>> m.startswith("\x00\x02")
True
>>> "\x00" not in m[2:10]
True
>>> "\x00" in m[10:]
True
>>> m[-6] == "\x00"
True
>>> m[-5:] == "12345"
True
"""
padding_len = self.k - len(data) - len(PKCS1_v15.HEADER) - len(PKCS1_v15.DELIMITER)
if padding_len < PKCS1_v15.MIN_PAD_LEN:
raise ValueError("Cleartext too long to be conforming: max => %i bytes, provided => %i bytes" % (self.k - PKCS1_v15.MIN_LEN, len(data)))
random_padding = self.get_random_padding(padding_len)
return PKCS1_v15.HEADER + random_padding + PKCS1_v15.DELIMITER + data
>>> m = pad.conforming_message("123456")
Traceback (most recent call last):
ValueError: Cleartext too long to be conforming: max => 5 bytes, provided => 6 bytes
>>> m = pad.conforming_message("12345")
>>> m.startswith("\x00\x02")
True
>>> "\x00" not in m[2:10]
True
>>> "\x00" in m[10:]
True
>>> m[-6] == "\x00"
True
>>> m[-5:] == "12345"
True
"""
padding_len = self.k - len(data) - len(PKCS1_v15.HEADER) - len(PKCS1_v15.DELIMITER)
if padding_len < PKCS1_v15.MIN_PAD_LEN:
raise ValueError("Cleartext too long to be conforming: max => %i bytes, provided => %i bytes" % (self.k - PKCS1_v15.MIN_LEN, len(data)))
random_padding = self.get_random_padding(padding_len)
return PKCS1_v15.HEADER + random_padding + PKCS1_v15.DELIMITER + data
Padding
Padding methods for password based encryption
Public-Domain
Latest version published 5 years ago