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rand(3)




     rand(3)                0.9.6h (2001-07-09)                rand(3)

     NAME
          rand - pseudo-random number generator

     SYNOPSIS
           #include <openssl/rand.h>

           int  RAND_bytes(unsigned char *buf, int num);
           int  RAND_pseudo_bytes(unsigned char *buf, int num);

           void RAND_seed(const void *buf, int num);
           void RAND_add(const void *buf, int num, int entropy);
           int  RAND_status(void);
           void RAND_screen(void);

           int  RAND_load_file(const char *file, long max_bytes);
           int  RAND_write_file(const char *file);
           const char *RAND_file_name(char *file, size_t num);

           int  RAND_egd(const char *path);

           void RAND_set_rand_method(RAND_METHOD *meth);
           RAND_METHOD *RAND_get_rand_method(void);
           RAND_METHOD *RAND_SSLeay(void);

           void RAND_cleanup(void);

     DESCRIPTION
          These functions implement a cryptographically secure pseudo-
          random number generator (PRNG). It is used by other library
          functions for example to generate random keys, and
          applications can use it when they need randomness.

          A cryptographic PRNG must be seeded with unpredictable data
          such as mouse movements or keys pressed at random by the
          user. This is described in RAND_add(3). Its state can be
          saved in a seed file (see RAND_load_file(3)) to avoid having
          to go through the seeding process whenever the application
          is started.

          RAND_bytes(3) describes how to obtain random data from the
          PRNG.

     INTERNALS
          The RAND_SSLeay() method implements a PRNG based on a
          cryptographic hash function.

          The following description of its design is based on the
          SSLeay documentation:

          First up I will state the things I believe I need for a good
          RNG.

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     rand(3)                0.9.6h (2001-07-09)                rand(3)

          1   A good hashing algorithm to mix things up and to convert
              the RNG 'state' to random numbers.

          2   An initial source of random 'state'.

          3   The state should be very large.  If the RNG is being
              used to generate 4096 bit RSA keys, 2 2048 bit random
              strings are required (at a minimum).  If your RNG state
              only has 128 bits, you are obviously limiting the search
              space to 128 bits, not 2048.  I'm probably getting a
              little carried away on this last point but it does
              indicate that it may not be a bad idea to keep quite a
              lot of RNG state.  It should be easier to break a cipher
              than guess the RNG seed data.

          4   Any RNG seed data should influence all subsequent random
              numbers generated.  This implies that any random seed
              data entered will have an influence on all subsequent
              random numbers generated.

          5   When using data to seed the RNG state, the data used
              should not be extractable from the RNG state.  I believe
              this should be a requirement because one possible source
              of 'secret' semi random data would be a private key or a
              password.  This data must not be disclosed by either
              subsequent random numbers or a 'core' dump left by a
              program crash.

          6   Given the same initial 'state', 2 systems should deviate
              in their RNG state (and hence the random numbers
              generated) over time if at all possible.

          7   Given the random number output stream, it should not be
              possible to determine the RNG state or the next random
              number.

          The algorithm is as follows.

          There is global state made up of a 1023 byte buffer (the
          'state'), a working hash value ('md'), and a counter
          ('count').

          Whenever seed data is added, it is inserted into the 'state'
          as follows.

          The input is chopped up into units of 20 bytes (or less for
          the last block).  Each of these blocks is run through the
          hash function as follows:  The data passed to the hash
          function is the current 'md', the same number of bytes from
          the 'state' (the location determined by in incremented
          looping index) as the current 'block', the new key data
          'block', and 'count' (which is incremented after each use).

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     rand(3)                0.9.6h (2001-07-09)                rand(3)

          The result of this is kept in 'md' and also xored into the
          'state' at the same locations that were used as input into
          the hash function. I believe this system addresses points 1
          (hash function; currently SHA-1), 3 (the 'state'), 4 (via
          the 'md'), 5 (by the use of a hash function and xor).

          When bytes are extracted from the RNG, the following process
          is used.  For each group of 10 bytes (or less), we do the
          following:

          Input into the hash function the local 'md' (which is
          initialized from the global 'md' before any bytes are
          generated), the bytes that are to be overwritten by the
          random bytes, and bytes from the 'state' (incrementing
          looping index). From this digest output (which is kept in
          'md'), the top (up to) 10 bytes are returned to the caller
          and the bottom 10 bytes are xored into the 'state'.

          Finally, after we have finished 'num' random bytes for the
          caller, 'count' (which is incremented) and the local and
          global 'md' are fed into the hash function and the results
          are kept in the global 'md'.

          I believe the above addressed points 1 (use of SHA-1), 6 (by
          hashing into the 'state' the 'old' data from the caller that
          is about to be overwritten) and 7 (by not using the 10 bytes
          given to the caller to update the 'state', but they are used
          to update 'md').

          So of the points raised, only 2 is not addressed (but see
          RAND_add(3)).

     SEE ALSO
          BN_rand(3), RAND_add(3), RAND_load_file(3), RAND_egd(3),
          RAND_bytes(3), RAND_set_rand_method(3), RAND_cleanup(3)

     Page 3                                         (printed 1/19/103)


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