xref: /freebsd/lib/libc/gen/arc4random.3 (revision a90b9d0159070121c221b966469c3e36d912bf82)
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.\"
33.Dd April 13, 2020
34.Dt ARC4RANDOM 3
35.Os
36.Sh NAME
37.Nm arc4random ,
38.Nm arc4random_buf ,
39.Nm arc4random_uniform
40.Nd random number generator
41.Sh LIBRARY
42.Lb libc
43.Sh SYNOPSIS
44.In stdlib.h
45.Ft uint32_t
46.Fn arc4random "void"
47.Ft void
48.Fn arc4random_buf "void *buf" "size_t nbytes"
49.Ft uint32_t
50.Fn arc4random_uniform "uint32_t upper_bound"
51.Sh DESCRIPTION
52This family of functions provides higher quality data than those
53described in
54.Xr rand 3 ,
55.Xr random 3 ,
56and
57.Xr rand48 3 .
58.Pp
59Use of these functions is encouraged for almost all random number
60consumption because the other interfaces are deficient in either
61quality, portability, standardization, or availability.
62These functions can be called in almost all coding environments,
63including
64.Xr pthread 3
65and
66.Xr chroot 2 .
67.Pp
68High quality 32-bit pseudo-random numbers are generated very quickly.
69On each call, a cryptographic pseudo-random number generator is used
70to generate a new result.
71One data pool is used for all consumers in a process, so that consumption
72under program flow can act as additional stirring.
73The subsystem is re-seeded from the kernel
74.Xr random 4
75subsystem using
76.Xr getentropy 3
77on a regular basis, and also upon
78.Xr fork 2 .
79.Pp
80The
81.Fn arc4random
82function returns a single 32-bit value.
83The
84.Fn arc4random
85function returns pseudo-random numbers in the range of 0 to
86.if t 2\u\s731\s10\d\(mi1,
87.if n (2**32)\(mi1,
88and therefore has twice the range of
89.Xr rand 3
90and
91.Xr random 3 .
92.Pp
93.Fn arc4random_buf
94fills the region
95.Fa buf
96of length
97.Fa nbytes
98with random data.
99.Pp
100.Fn arc4random_uniform
101will return a single 32-bit value, uniformly distributed but less than
102.Fa upper_bound .
103This is recommended over constructions like
104.Dq Li arc4random() % upper_bound
105as it avoids "modulo bias" when the upper bound is not a power of two.
106In the worst case, this function may consume multiple iterations
107to ensure uniformity; see the source code to understand the problem
108and solution.
109.Sh RETURN VALUES
110These functions are always successful, and no return value is
111reserved to indicate an error.
112.Sh EXAMPLES
113The following produces a drop-in replacement for the traditional
114.Fn rand
115and
116.Fn random
117functions using
118.Fn arc4random :
119.Pp
120.Dl "#define foo4random() (arc4random_uniform(RAND_MAX + 1))"
121.Sh SEE ALSO
122.Xr rand 3 ,
123.Xr rand48 3 ,
124.Xr random 3
125.Rs
126.%A Daniel J. Bernstein
127.%T ChaCha, a variant of Salsa20
128.%D 2008-01-28
129.%O Document ID: 4027b5256e17b9796842e6d0f68b0b5e
130.%U http://cr.yp.to/papers.html#chacha
131.Re
132.Sh HISTORY
133These functions first appeared in
134.Ox 2.1 .
135.Fn arc4random
136first appeared in
137.Fx 3.0 .
138.Fn arc4random_buf
139and
140.Fn arc4random_uniform
141first appeared in
142.Fx 8.0 .
143.Fn arc4random_stir
144was removed in
145.Fx 12.0 .
146.Pp
147The original version of this random number generator used the
148RC4 (also known as ARC4) algorithm.
149In
150.Ox 5.5
151it was replaced with the ChaCha20 cipher, and it may be replaced
152again in the future as cryptographic techniques advance.
153A good mnemonic is
154.Dq A Replacement Call for Random .
155.Pp
156The
157.Fn arc4random
158random number generator was first introduced in
159.Fx 2.2.6 .
160The ChaCha20 based implementation was introduced in
161.Fx 12.0 ,
162with obsolete stir and addrandom interfaces removed at the same time.
163