xref: /freebsd/lib/libc/gen/arc4random.3 (revision 1d386b48a555f61cb7325543adbbb5c3f3407a66)
1.\" $OpenBSD: arc4random.3,v 1.37 2019/09/29 16:30:35 jmc Exp $
2.\"
3.\" Copyright 1997 Niels Provos <provos@physnet.uni-hamburg.de>
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31.\" Manual page, using -mandoc macros
32.\" $FreeBSD$
33.\"
34.Dd April 13, 2020
35.Dt ARC4RANDOM 3
36.Os
37.Sh NAME
38.Nm arc4random ,
39.Nm arc4random_buf ,
40.Nm arc4random_uniform
41.Nd random number generator
42.Sh LIBRARY
43.Lb libc
44.Sh SYNOPSIS
45.In stdlib.h
46.Ft uint32_t
47.Fn arc4random "void"
48.Ft void
49.Fn arc4random_buf "void *buf" "size_t nbytes"
50.Ft uint32_t
51.Fn arc4random_uniform "uint32_t upper_bound"
52.Sh DESCRIPTION
53This family of functions provides higher quality data than those
54described in
55.Xr rand 3 ,
56.Xr random 3 ,
57and
58.Xr rand48 3 .
59.Pp
60Use of these functions is encouraged for almost all random number
61consumption because the other interfaces are deficient in either
62quality, portability, standardization, or availability.
63These functions can be called in almost all coding environments,
64including
65.Xr pthread 3
66and
67.Xr chroot 2 .
68.Pp
69High quality 32-bit pseudo-random numbers are generated very quickly.
70On each call, a cryptographic pseudo-random number generator is used
71to generate a new result.
72One data pool is used for all consumers in a process, so that consumption
73under program flow can act as additional stirring.
74The subsystem is re-seeded from the kernel
75.Xr random 4
76subsystem using
77.Xr getentropy 3
78on a regular basis, and also upon
79.Xr fork 2 .
80.Pp
81The
82.Fn arc4random
83function returns a single 32-bit value.
84The
85.Fn arc4random
86function returns pseudo-random numbers in the range of 0 to
87.if t 2\u\s731\s10\d\(mi1,
88.if n (2**32)\(mi1,
89and therefore has twice the range of
90.Xr rand 3
91and
92.Xr random 3 .
93.Pp
94.Fn arc4random_buf
95fills the region
96.Fa buf
97of length
98.Fa nbytes
99with random data.
100.Pp
101.Fn arc4random_uniform
102will return a single 32-bit value, uniformly distributed but less than
103.Fa upper_bound .
104This is recommended over constructions like
105.Dq Li arc4random() % upper_bound
106as it avoids "modulo bias" when the upper bound is not a power of two.
107In the worst case, this function may consume multiple iterations
108to ensure uniformity; see the source code to understand the problem
109and solution.
110.Sh RETURN VALUES
111These functions are always successful, and no return value is
112reserved to indicate an error.
113.Sh EXAMPLES
114The following produces a drop-in replacement for the traditional
115.Fn rand
116and
117.Fn random
118functions using
119.Fn arc4random :
120.Pp
121.Dl "#define foo4random() (arc4random_uniform(RAND_MAX + 1))"
122.Sh SEE ALSO
123.Xr rand 3 ,
124.Xr rand48 3 ,
125.Xr random 3
126.Rs
127.%A Daniel J. Bernstein
128.%T ChaCha, a variant of Salsa20
129.%D 2008-01-28
130.%O Document ID: 4027b5256e17b9796842e6d0f68b0b5e
131.%U http://cr.yp.to/papers.html#chacha
132.Re
133.Sh HISTORY
134These functions first appeared in
135.Ox 2.1 .
136.Pp
137The original version of this random number generator used the
138RC4 (also known as ARC4) algorithm.
139In
140.Ox 5.5
141it was replaced with the ChaCha20 cipher, and it may be replaced
142again in the future as cryptographic techniques advance.
143A good mnemonic is
144.Dq A Replacement Call for Random .
145.Pp
146The
147.Fn arc4random
148random number generator was first introduced in
149.Fx 2.2.6 .
150The ChaCha20 based implementation was introduced in
151.Fx 12.0 ,
152with obsolete stir and addrandom interfaces removed at the same time.
153