14.2. hmac — Keyed-Hashing for Message Authentication — Python 2.7.18 documentation

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# 14.2. `hmac` — Keyed-Hashing for Message Authentication

New in version 2.2.

Source code: Lib/hmac.py

This module implements the HMAC algorithm as described by RFC 2104.

`hmac.` `new`(key[, msg[, digestmod]])

  Return a new hmac object. If msg is present, the method call `update(msg)` is made. digestmod is the digest constructor or module for the HMAC object to use. It defaults to the `hashlib.md5` constructor.

An HMAC object has the following methods:

`HMAC.` `update`(msg)

  Update the hmac object with the string msg. Repeated calls are equivalent to a single call with the concatenation of all the arguments: `m.update(a); m.update(b)` is equivalent to `m.update(a + b)`.

`HMAC.` `digest`()

  Return the digest of the strings passed to the `update()` method so far. This string will be the same length as the digest_size of the digest given to the constructor. It may contain non-ASCII characters, including NUL bytes.

  Warning

  When comparing the output of `digest()` to an externally-supplied digest during a verification routine, it is recommended to use the `compare_digest()` function instead of the `==` operator to reduce the vulnerability to timing attacks.

`HMAC.` `hexdigest`()

  Like `digest()` except the digest is returned as a string twice the length containing only hexadecimal digits. This may be used to exchange the value safely in email or other non-binary environments.

  Warning

  When comparing the output of `hexdigest()` to an externally-supplied digest during a verification routine, it is recommended to use the `compare_digest()` function instead of the `==` operator to reduce the vulnerability to timing attacks.

`HMAC.` `copy`()

  Return a copy (“clone”) of the hmac object. This can be used to efficiently compute the digests of strings that share a common initial substring.

This module also provides the following helper function:

`hmac.` `compare_digest`(a, b)

  Return `a == b`. This function uses an approach designed to prevent timing analysis by avoiding content-based short circuiting behaviour, making it appropriate for cryptography. a and b must both be of the same type: either `unicode` or a bytes-like object.

  Note

  If a and b are of different lengths, or if an error occurs, a timing attack could theoretically reveal information about the types and lengths of a and b—but not their values.

  New in version 2.7.7.

See also

Module `hashlib`

  The Python module providing secure hash functions.