1=pod 2 3=head1 NAME 4 5rand - pseudo-random number generator 6 7=head1 SYNOPSIS 8 9 #include <openssl/rand.h> 10 11 int RAND_set_rand_engine(ENGINE *engine); 12 13 int RAND_bytes(unsigned char *buf, int num); 14 int RAND_pseudo_bytes(unsigned char *buf, int num); 15 16 void RAND_seed(const void *buf, int num); 17 void RAND_add(const void *buf, int num, int entropy); 18 int RAND_status(void); 19 20 int RAND_load_file(const char *file, long max_bytes); 21 int RAND_write_file(const char *file); 22 const char *RAND_file_name(char *file, size_t num); 23 24 int RAND_egd(const char *path); 25 26 void RAND_set_rand_method(const RAND_METHOD *meth); 27 const RAND_METHOD *RAND_get_rand_method(void); 28 RAND_METHOD *RAND_SSLeay(void); 29 30 void RAND_cleanup(void); 31 32 /* For Win32 only */ 33 void RAND_screen(void); 34 int RAND_event(UINT, WPARAM, LPARAM); 35 36=head1 DESCRIPTION 37 38Since the introduction of the ENGINE API, the recommended way of controlling 39default implementations is by using the ENGINE API functions. The default 40B<RAND_METHOD>, as set by RAND_set_rand_method() and returned by 41RAND_get_rand_method(), is only used if no ENGINE has been set as the default 42"rand" implementation. Hence, these two functions are no longer the recommened 43way to control defaults. 44 45If an alternative B<RAND_METHOD> implementation is being used (either set 46directly or as provided by an ENGINE module), then it is entirely responsible 47for the generation and management of a cryptographically secure PRNG stream. The 48mechanisms described below relate solely to the software PRNG implementation 49built in to OpenSSL and used by default. 50 51These functions implement a cryptographically secure pseudo-random 52number generator (PRNG). It is used by other library functions for 53example to generate random keys, and applications can use it when they 54need randomness. 55 56A cryptographic PRNG must be seeded with unpredictable data such as 57mouse movements or keys pressed at random by the user. This is 58described in L<RAND_add(3)|RAND_add(3)>. Its state can be saved in a seed file 59(see L<RAND_load_file(3)|RAND_load_file(3)>) to avoid having to go through the 60seeding process whenever the application is started. 61 62L<RAND_bytes(3)|RAND_bytes(3)> describes how to obtain random data from the 63PRNG. 64 65=head1 INTERNALS 66 67The RAND_SSLeay() method implements a PRNG based on a cryptographic 68hash function. 69 70The following description of its design is based on the SSLeay 71documentation: 72 73First up I will state the things I believe I need for a good RNG. 74 75=over 4 76 77=item 1 78 79A good hashing algorithm to mix things up and to convert the RNG 'state' 80to random numbers. 81 82=item 2 83 84An initial source of random 'state'. 85 86=item 3 87 88The state should be very large. If the RNG is being used to generate 894096 bit RSA keys, 2 2048 bit random strings are required (at a minimum). 90If your RNG state only has 128 bits, you are obviously limiting the 91search space to 128 bits, not 2048. I'm probably getting a little 92carried away on this last point but it does indicate that it may not be 93a bad idea to keep quite a lot of RNG state. It should be easier to 94break a cipher than guess the RNG seed data. 95 96=item 4 97 98Any RNG seed data should influence all subsequent random numbers 99generated. This implies that any random seed data entered will have 100an influence on all subsequent random numbers generated. 101 102=item 5 103 104When using data to seed the RNG state, the data used should not be 105extractable from the RNG state. I believe this should be a 106requirement because one possible source of 'secret' semi random 107data would be a private key or a password. This data must 108not be disclosed by either subsequent random numbers or a 109'core' dump left by a program crash. 110 111=item 6 112 113Given the same initial 'state', 2 systems should deviate in their RNG state 114(and hence the random numbers generated) over time if at all possible. 115 116=item 7 117 118Given the random number output stream, it should not be possible to determine 119the RNG state or the next random number. 120 121=back 122 123The algorithm is as follows. 124 125There is global state made up of a 1023 byte buffer (the 'state'), a 126working hash value ('md'), and a counter ('count'). 127 128Whenever seed data is added, it is inserted into the 'state' as 129follows. 130 131The input is chopped up into units of 20 bytes (or less for 132the last block). Each of these blocks is run through the hash 133function as follows: The data passed to the hash function 134is the current 'md', the same number of bytes from the 'state' 135(the location determined by in incremented looping index) as 136the current 'block', the new key data 'block', and 'count' 137(which is incremented after each use). 138The result of this is kept in 'md' and also xored into the 139'state' at the same locations that were used as input into the 140hash function. I 141believe this system addresses points 1 (hash function; currently 142SHA-1), 3 (the 'state'), 4 (via the 'md'), 5 (by the use of a hash 143function and xor). 144 145When bytes are extracted from the RNG, the following process is used. 146For each group of 10 bytes (or less), we do the following: 147 148Input into the hash function the local 'md' (which is initialized from 149the global 'md' before any bytes are generated), the bytes that are to 150be overwritten by the random bytes, and bytes from the 'state' 151(incrementing looping index). From this digest output (which is kept 152in 'md'), the top (up to) 10 bytes are returned to the caller and the 153bottom 10 bytes are xored into the 'state'. 154 155Finally, after we have finished 'num' random bytes for the caller, 156'count' (which is incremented) and the local and global 'md' are fed 157into the hash function and the results are kept in the global 'md'. 158 159I believe the above addressed points 1 (use of SHA-1), 6 (by hashing 160into the 'state' the 'old' data from the caller that is about to be 161overwritten) and 7 (by not using the 10 bytes given to the caller to 162update the 'state', but they are used to update 'md'). 163 164So of the points raised, only 2 is not addressed (but see 165L<RAND_add(3)|RAND_add(3)>). 166 167=head1 SEE ALSO 168 169L<BN_rand(3)|BN_rand(3)>, L<RAND_add(3)|RAND_add(3)>, 170L<RAND_load_file(3)|RAND_load_file(3)>, L<RAND_egd(3)|RAND_egd(3)>, 171L<RAND_bytes(3)|RAND_bytes(3)>, 172L<RAND_set_rand_method(3)|RAND_set_rand_method(3)>, 173L<RAND_cleanup(3)|RAND_cleanup(3)> 174 175=cut 176