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|
/* $OpenBSD: rnd.c,v 1.38 2000/04/18 15:11:28 hugh Exp $ */
/*
* random.c -- A strong random number generator
*
* Copyright (c) 1996, 1997, 2000 Michael Shalayeff.
*
* Version 1.89, last modified 19-Sep-99
*
* Copyright Theodore Ts'o, 1994, 1995, 1996, 1997, 1998, 1999.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, and the entire permission notice in its entirety,
* including the disclaimer of warranties.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* 3. The name of the author may not be used to endorse or promote
* products derived from this software without specific prior
* written permission.
*
* ALTERNATIVELY, this product may be distributed under the terms of
* the GNU Public License, in which case the provisions of the GPL are
* required INSTEAD OF the above restrictions. (This clause is
* necessary due to a potential bad interaction between the GPL and
* the restrictions contained in a BSD-style copyright.)
*
* THIS SOFTWARE IS PROVIDED ``AS IS'' AND ANY EXPRESS OR IMPLIED
* WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT,
* INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
* STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
* OF THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
* (now, with legal B.S. out of the way.....)
*
* This routine gathers environmental noise from device drivers, etc.,
* and returns good random numbers, suitable for cryptographic use.
* Besides the obvious cryptographic uses, these numbers are also good
* for seeding TCP sequence numbers, and other places where it is
* desirable to have numbers which are not only random, but hard to
* predict by an attacker.
*
* Theory of operation
* ===================
*
* Computers are very predictable devices. Hence it is extremely hard
* to produce truly random numbers on a computer --- as opposed to
* pseudo-random numbers, which can easily generated by using a
* algorithm. Unfortunately, it is very easy for attackers to guess
* the sequence of pseudo-random number generators, and for some
* applications this is not acceptable. So instead, we must try to
* gather "environmental noise" from the computer's environment, which
* must be hard for outside attackers to observe, and use that to
* generate random numbers. In a Unix environment, this is best done
* from inside the kernel.
*
* Sources of randomness from the environment include inter-keyboard
* timings, inter-interrupt timings from some interrupts, and other
* events which are both (a) non-deterministic and (b) hard for an
* outside observer to measure. Randomness from these sources are
* added to an "entropy pool", which is mixed using a CRC-like function.
* This is not cryptographically strong, but it is adequate assuming
* the randomness is not chosen maliciously, and it is fast enough that
* the overhead of doing it on every interrupt is very reasonable.
* As random bytes are mixed into the entropy pool, the routines keep
* an *estimate* of how many bits of randomness have been stored into
* the random number generator's internal state.
*
* When random bytes are desired, they are obtained by taking the MD5
* hash of the contents of the "entropy pool". The MD5 hash avoids
* exposing the internal state of the entropy pool. It is believed to
* be computationally infeasible to derive any useful information
* about the input of MD5 from its output. Even if it is possible to
* analyze MD5 in some clever way, as long as the amount of data
* returned from the generator is less than the inherent entropy in
* the pool, the output data is totally unpredictable. For this
* reason, the routine decreases its internal estimate of how many
* bits of "true randomness" are contained in the entropy pool as it
* outputs random numbers.
*
* If this estimate goes to zero, the routine can still generate
* random numbers; however, an attacker may (at least in theory) be
* able to infer the future output of the generator from prior
* outputs. This requires successful cryptanalysis of MD5, which is
* not believed to be feasible, but there is a remote possibility.
* Nonetheless, these numbers should be useful for the vast majority
* of purposes.
*
* Exported interfaces ---- output
* ===============================
*
* There are three exported interfaces; the first is one designed to
* be used from within the kernel:
*
* void get_random_bytes(void *buf, int nbytes);
*
* This interface will return the requested number of random bytes,
* and place it in the requested buffer.
*
* The two other interfaces are two character devices /dev/random and
* /dev/urandom. /dev/random is suitable for use when very high
* quality randomness is desired (for example, for key generation or
* one-time pads), as it will only return a maximum of the number of
* bits of randomness (as estimated by the random number generator)
* contained in the entropy pool.
*
* The /dev/urandom device does not have this limit, and will return
* as many bytes as are requested. As more and more random bytes are
* requested without giving time for the entropy pool to recharge,
* this will result in random numbers that are merely cryptographically
* strong. For many applications, however, this is acceptable.
*
* Exported interfaces ---- input
* ==============================
*
* The current exported interfaces for gathering environmental noise
* from the devices are:
*
* void add_true_randomness(int data);
* void add_timer_randomness(int data);
* void add_mouse_randomness(int mouse_data);
* void add_net_randomness(int isr);
* void add_tty_randomness(int c);
* void add_disk_randomness(int n);
* void add_audio_randomness(int n);
*
* add_true_randomness() uses true random number generators present
* on some cryptographic and system chipsets. entropy accounting
* is not quitable, no timing is done, supplied 32 bits of pure entropy
* are hashed into the pool plain and blindly, increasing the counter.
*
* add_timer_randomness() uses the random driver itselves timing,
* measuring extract_entropy() and rndioctl() execution times.
*
* add_mouse_randomness() uses the mouse interrupt timing, as well as
* the reported position of the mouse from the hardware.
*
* add_net_randomness() times the finishing time of net input.
*
* add_tty_randomness() uses the inter-keypress timing, as well as the
* character as random inputs into the "entropy pool".
*
* add_disk_randomness() times the finishing time of disk requests as well
* as feeding both xfer size & time into the entropy pool.
*
* add_audio_randomness() times the finishing of audio codec dma
* requests for both recording and playback, apparently supplies quite
* a lot of entropy, i'd blame on low resolution audio clock generators.
*
* All of these routines (except for add_true_randomness() of course)
* try to estimate how many bits of randomness a particular randomness
* source. They do this by keeping track of the first and second order
* deltas of the event timings.
*
* Ensuring unpredictability at system startup
* ============================================
*
* When any operating system starts up, it will go through a sequence
* of actions that are fairly predictable by an adversary, especially
* if the start-up does not involve interaction with a human operator.
* This reduces the actual number of bits of unpredictability in the
* entropy pool below the value in entropy_count. In order to
* counteract this effect, it helps to carry information in the
* entropy pool across shut-downs and start-ups. To do this, put the
* following lines an appropriate script which is run during the boot
* sequence:
*
* echo "Initializing random number generator..."
* # Carry a random seed from start-up to start-up
* # Load and then save 512 bytes, which is the size of the entropy pool
* if [ -f /etc/random-seed ]; then
* cat /etc/random-seed >/dev/urandom
* fi
* dd if=/dev/urandom of=/etc/random-seed count=1
*
* and the following lines in an appropriate script which is run as
* the system is shutdown:
*
* # Carry a random seed from shut-down to start-up
* # Save 512 bytes, which is the size of the entropy pool
* echo "Saving random seed..."
* dd if=/dev/urandom of=/etc/random-seed count=1
*
* For example, on many Linux systems, the appropriate scripts are
* usually /etc/rc.d/rc.local and /etc/rc.d/rc.0, respectively.
*
* Effectively, these commands cause the contents of the entropy pool
* to be saved at shut-down time and reloaded into the entropy pool at
* start-up. (The 'dd' in the addition to the bootup script is to
* make sure that /etc/random-seed is different for every start-up,
* even if the system crashes without executing rc.0.) Even with
* complete knowledge of the start-up activities, predicting the state
* of the entropy pool requires knowledge of the previous history of
* the system.
*
* Configuring the /dev/random driver under Linux
* ==============================================
*
* The /dev/random driver under Linux uses minor numbers 8 and 9 of
* the /dev/mem major number (#1). So if your system does not have
* /dev/random and /dev/urandom created already, they can be created
* by using the commands:
*
* mknod /dev/random c 1 8
* mknod /dev/urandom c 1 9
*
* Acknowledgements:
* =================
*
* Ideas for constructing this random number generator were derived
* from Pretty Good Privacy's random number generator, and from private
* discussions with Phil Karn. Colin Plumb provided a faster random
* number generator, which speed up the mixing function of the entropy
* pool, taken from PGPfone. Dale Worley has also contributed many
* useful ideas and suggestions to improve this driver.
*
* Any flaws in the design are solely my responsibility, and should
* not be attributed to the Phil, Colin, or any of authors of PGP.
*
* The code for SHA transform was taken from Peter Gutmann's
* implementation, which has been placed in the public domain.
* The code for MD5 transform was taken from Colin Plumb's
* implementation, which has been placed in the public domain.
* The MD5 cryptographic checksum was devised by Ronald Rivest, and is
* documented in RFC 1321, "The MD5 Message Digest Algorithm".
*
* Further background information on this topic may be obtained from
* RFC 1750, "Randomness Recommendations for Security", by Donald
* Eastlake, Steve Crocker, and Jeff Schiller.
*/
#undef RNDEBUG
#include <sys/param.h>
#include <sys/systm.h>
#include <sys/conf.h>
#include <sys/disk.h>
#include <sys/ioctl.h>
#include <sys/malloc.h>
#include <sys/fcntl.h>
#include <sys/vnode.h>
#include <sys/md5k.h>
#include <sys/sysctl.h>
#include <sys/timeout.h>
#include <dev/rndvar.h>
#include <dev/rndioctl.h>
#ifdef RNDEBUG
int rnd_debug = 0x0000;
#define RD_INPUT 0x000f /* input data */
#define RD_OUTPUT 0x00f0 /* output data */
#define RD_WAIT 0x0100 /* sleep/wakeup for good data */
#endif
/*
* The pool is stirred with a primitive polynomial of degree 128
* over GF(2), namely x^128 + x^99 + x^59 + x^31 + x^9 + x^7 + 1.
* For a pool of size 64, try x^64+x^62+x^38+x^10+x^6+x+1.
*/
#define POOLBITS (POOLWORDS*32)
#if POOLWORDS == 2048
#define TAP1 1638
#define TAP2 1231
#define TAP3 819
#define TAP4 411
#define TAP5 1
#elif POOLWORDS == 1024 /* also (819, 616, 410, 207, 2) */
#define TAP1 817
#define TAP2 615
#define TAP3 412
#define TAP4 204
#define TAP5 1
#elif POOLWORDS == 512 /* also (409,307,206,102,2), (409,309,205,103,2) */
#define TAP1 411
#define TAP2 308
#define TAP3 208
#define TAP4 104
#define TAP5 1
#elif POOLWORDS == 256
#define TAP1 205
#define TAP2 155
#define TAP3 101
#define TAP4 52
#define TAP5 1
#elif POOLWORDS == 128 /* also (103, 78, 51, 27, 2) */
#define TAP1 103
#define TAP2 76
#define TAP3 51
#define TAP4 25
#define TAP5 1
#elif POOLWORDS == 64
#define TAP1 52
#define TAP2 39
#define TAP3 26
#define TAP4 14
#define TAP5 1
#elif POOLWORDS == 32
#define TAP1 26
#define TAP2 20
#define TAP3 14
#define TAP4 7
#define TAP5 1
#else
#error No primitive polynomial available for chosen POOLWORDS
#endif
/*
* For the purposes of better mixing, we use the CRC-32 polynomial as
* well to make a twisted Generalized Feedback Shift Reigster
*
* (See M. Matsumoto & Y. Kurita, 1992. Twisted GFSR generators. ACM
* Transactions on Modeling and Computer Simulation 2(3):179-194.
* Also see M. Matsumoto & Y. Kurita, 1994. Twisted GFSR generators
* II. ACM Transactions on Mdeling and Computer Simulation 4:254-266)
*
* Thanks to Colin Plumb for suggesting this.
*
* We have not analyzed the resultant polynomial to prove it primitive;
* in fact it almost certainly isn't. Nonetheless, the irreducible factors
* of a random large-degree polynomial over GF(2) are more than large enough
* that periodicity is not a concern.
*
* The input hash is much less sensitive than the output hash. All
* that we want of it is that it be a good non-cryptographic hash;
* i.e. it not produce collisions when fed "random" data of the sort
* we expect to see. As long as the pool state differs for different
* inputs, we have preserved the input entropy and done a good job.
* The fact that an intelligent attacker can construct inputs that
* will produce controlled alterations to the pool's state is not
* important because we don't consider such inputs to contribute any
* randomness. The only property we need with respect to them is that
* the attacker can't increase his/her knowledge of the pool's state.
* Since all additions are reversible (knowing the final state and the
* input, you can reconstruct the initial state), if an attacker has
* any uncertainty about the initial state, he/she can only shuffle
* that uncertainty about, but never cause any collisions (which would
* decrease the uncertainty).
*
* The chosen system lets the state of the pool be (essentially) the input
* modulo the generator polymnomial. Now, for random primitive polynomials,
* this is a universal class of hash functions, meaning that the chance
* of a collision is limited by the attacker's knowledge of the generator
* polynomail, so if it is chosen at random, an attacker can never force
* a collision. Here, we use a fixed polynomial, but we *can* assume that
* ###--> it is unknown to the processes generating the input entropy. <-###
* Because of this important property, this is a good, collision-resistant
* hash; hash collisions will occur no more often than chance.
*/
/* pIII/333 reported to have some drops w/ these numbers */
#define QEVLEN 96
#define QEVSLOW 64 /* yet another 0.75 for 60-minutes hour /-; */
#define QEVSBITS 12
/* There is actually only one of these, globally. */
struct random_bucket {
u_int add_ptr;
u_int entropy_count;
u_char input_rotate;
u_int32_t pool[POOLWORDS];
u_int asleep;
u_int queued;
u_int tmo;
};
/* There is one of these per entropy source */
struct timer_rand_state {
u_int last_time;
u_int last_delta;
u_int last_delta2;
u_char dont_count_entropy : 1;
u_char max_entropy : 1;
};
struct arc4_stream {
u_int8_t s[256];
u_int cnt;
u_int8_t i;
u_int8_t j;
};
struct rand_event {
struct rand_event *re_next;
struct timer_rand_state *re_state;
u_char re_nbits;
u_int re_time;
u_int re_val;
};
struct timeout rnd_timeout, arc4_timeout;
struct random_bucket random_state;
struct arc4_stream arc4random_state;
struct timer_rand_state rnd_states[RND_SRC_NUM];
struct rand_event rnd_event_space[QEVLEN];
struct rand_event *rnd_event_q;
struct rand_event *rnd_event_free;
int rnd_attached;
int arc4random_initialized;
struct rndstats rndstats;
static __inline u_int32_t roll(u_int32_t w, int i)
{
#ifdef i386
__asm ("roll %%cl, %0" : "+r" (w) : "c" (i));
#else
w = (w << i) | (w >> (32 - i));
#endif
return w;
}
void dequeue_randomness __P((void *));
static __inline void add_entropy_words __P((const u_int32_t *, u_int n));
static __inline void extract_entropy __P((register u_int8_t *, int));
static __inline u_int8_t arc4_getbyte __P((void));
void arc4_stir __P((void));
void arc4_reinit __P((void *v));
/* Arcfour random stream generator. This code is derived from section
* 17.1 of Applied Cryptography, second edition, which describes a
* stream cipher allegedly compatible with RSA Labs "RC4" cipher (the
* actual description of which is a trade secret). The same algorithm
* is used as a stream cipher called "arcfour" in Tatu Ylonen's ssh
* package.
*
* The initialization function here has been modified not to discard
* old state, and its input always includes the time of day in
* microseconds. Moreover, bytes from the stream may at any point be
* diverted to multiple processes or even kernel functions desiring
* random numbers. This increases the strenght of the random stream,
* but makes it impossible to use this code for encryption--There is
* no way ever to reproduce the same stream of random bytes.
*
* RC4 is a registered trademark of RSA Laboratories.
*/
void
arc4_stir(void)
{
u_int8_t buf[256];
register u_int8_t si;
register int n, s;
int len;
microtime((struct timeval *) buf);
len = random_state.entropy_count / 8; /* XXX maybe a half? */
if (len > sizeof(buf) - sizeof(struct timeval))
len = sizeof(buf) - sizeof(struct timeval);
get_random_bytes(buf + sizeof (struct timeval), len);
len += sizeof(struct timeval);
s = splhigh();
arc4random_state.i--;
for (n = 0; n < 256; n++) {
arc4random_state.i++;
si = arc4random_state.s[arc4random_state.i];
arc4random_state.j += si + buf[n % len];
arc4random_state.s[arc4random_state.i] =
arc4random_state.s[arc4random_state.j];
arc4random_state.s[arc4random_state.j] = si;
}
arc4random_state.j = arc4random_state.i;
arc4random_state.cnt = 0;
rndstats.arc4_stirs += len;
rndstats.arc4_nstirs++;
splx(s);
}
static __inline u_int8_t
arc4_getbyte(void)
{
register u_int8_t si, sj;
rndstats.arc4_reads++;
arc4random_state.cnt++;
arc4random_state.i++;
si = arc4random_state.s[arc4random_state.i];
arc4random_state.j += si;
sj = arc4random_state.s[arc4random_state.j];
arc4random_state.s[arc4random_state.i] = sj;
arc4random_state.s[arc4random_state.j] = si;
return arc4random_state.s[(si + sj) & 0xff];
}
static __inline void
arc4maybeinit(void)
{
if (!arc4random_initialized) {
arc4random_initialized++;
arc4_stir();
}
}
void
arc4_reinit(v)
void *v;
{
extern int hz;
arc4random_initialized = 0;
timeout_add(&arc4_timeout, 10*60*hz);
}
int
arc4random_8(void)
{
arc4maybeinit();
return arc4_getbyte();
}
u_int32_t
arc4random(void)
{
arc4maybeinit();
return ((arc4_getbyte() << 24) | (arc4_getbyte() << 16)
| (arc4_getbyte() << 8) | arc4_getbyte());
}
void
randomattach(void)
{
int i;
struct timeval tv;
struct rand_event *rep;
if (rnd_attached) {
#ifdef RNDEBUG
printf("random: second attach\n");
#endif
return;
}
random_state.add_ptr = 0;
random_state.entropy_count = 0;
rnd_states[RND_SRC_TIMER].dont_count_entropy = 1;
rnd_states[RND_SRC_TRUE].dont_count_entropy = 1;
rnd_states[RND_SRC_TRUE].max_entropy = 1;
bzero(&rndstats, sizeof(rndstats));
bzero(&rnd_event_space, sizeof(rnd_event_space));
rnd_event_free = rnd_event_space;
for (rep = rnd_event_space; rep < &rnd_event_space[QEVLEN-1]; rep++)
rep->re_next = rep + 1;
for (i = 0; i < 256; i++)
arc4random_state.s[i] = i;
microtime(&tv);
timeout_set(&rnd_timeout, dequeue_randomness, NULL);
timeout_set(&arc4_timeout, arc4_reinit, NULL);
arc4_reinit(NULL);
rnd_attached = 1;
}
int
randomopen(dev, flag, mode, p)
dev_t dev;
int flag;
int mode;
struct proc *p;
{
return (minor (dev) < RND_NODEV) ? 0 : ENXIO;
}
int
randomclose(dev, flag, mode, p)
dev_t dev;
int flag;
int mode;
struct proc *p;
{
return 0;
}
/*
* This function adds a byte into the entropy "pool". It does not
* update the entropy estimate. The caller must do this if appropriate.
*
* The pool is stirred with a primitive polynomial of degree 128
* over GF(2), namely x^128 + x^99 + x^59 + x^31 + x^9 + x^7 + 1.
* For a pool of size 64, try x^64+x^62+x^38+x^10+x^6+x+1.
*
* We rotate the input word by a changing number of bits, to help
* assure that all bits in the entropy get toggled. Otherwise, if we
* consistently feed the entropy pool small numbers (like jiffies and
* scancodes, for example), the upper bits of the entropy pool don't
* get affected. --- TYT, 10/11/95
*/
static __inline void
add_entropy_words(buf, n)
const u_int32_t *buf;
u_int n;
{
static const u_int32_t twist_table[8] = {
0x00000000, 0x3b6e20c8, 0x76dc4190, 0x4db26158,
0xedb88320, 0xd6d6a3e8, 0x9b64c2b0, 0xa00ae278
};
u_int i;
int new_rotate;
u_int32_t w;
while (n--) {
w = roll(*buf, random_state.input_rotate);
i = random_state.add_ptr =
(random_state.add_ptr - 1) & (POOLWORDS - 1);
/*
* Normally, we add 7 bits of rotation to the pool.
* At the beginning of the pool, add an extra 7 bits
* rotation, so that successive passes spread the
* input bits across the pool evenly.
*/
new_rotate = random_state.input_rotate + 14;
if (i)
new_rotate = random_state.input_rotate + 7;
random_state.input_rotate = new_rotate & 31;
/* XOR in the various taps */
w ^= random_state.pool[(i+TAP1)&(POOLWORDS-1)];
w ^= random_state.pool[(i+TAP2)&(POOLWORDS-1)];
w ^= random_state.pool[(i+TAP3)&(POOLWORDS-1)];
w ^= random_state.pool[(i+TAP4)&(POOLWORDS-1)];
w ^= random_state.pool[(i+TAP5)&(POOLWORDS-1)];
w ^= random_state.pool[i];
random_state.pool[i] = (w >> 3) ^ twist_table[w & 7];
}
}
/*
* This function adds entropy to the entropy "pool" by using timing
* delays. It uses the timer_rand_state structure to make an estimate
* of how many bits of entropy this call has added to the pool.
*
* The number "num" is also added to the pool - it should somehow describe
* the type of event which just happened. This is currently 0-255 for
* keyboard scan codes, and 256 upwards for interrupts.
* On the i386, this is assumed to be at most 16 bits, and the high bits
* are used for a high-resolution timer.
*
*/
void
enqueue_randomness(state, val)
int state, val;
{
struct timer_rand_state *p;
struct timeval tv;
register struct rand_event *rep;
int s;
u_int time, nbits;
#ifdef DIAGNOSTIC
if (state < 0 || state >= RND_SRC_NUM)
return;
#endif
p = &rnd_states[state];
val += state << 13;
microtime(&tv);
time = tv.tv_usec ^ tv.tv_sec;
nbits = 0;
/*
* Calculate number of bits of randomness we probably
* added. We take into account the first and second order
* deltas in order to make our estimate.
*/
if (!p->dont_count_entropy) {
register int delta, delta2, delta3;
delta = time - p->last_time;
delta2 = delta - p->last_delta;
delta3 = delta2 - p->last_delta2;
if (delta < 0) delta = -delta;
if (delta2 < 0) delta2 = -delta2;
if (delta3 < 0) delta3 = -delta3;
if (delta > delta2) delta = delta2;
if (delta > delta3) delta = delta3;
delta3 = delta >>= 1;
/*
* delta &= 0xfff;
* we don't do it since our time sheet is different from linux
*/
if (delta & 0xffff0000) {
nbits = 16;
delta >>= 16;
}
if (delta & 0xff00) {
nbits += 8;
delta >>= 8;
}
if (delta & 0xf0) {
nbits += 4;
delta >>= 4;
}
if (delta & 0xc) {
nbits += 2;
delta >>= 2;
}
if (delta & 2) {
nbits += 1;
delta >>= 1;
}
if (delta & 1)
nbits++;
/*
* the logic is to drop low-entropy entries,
* in hope for dequeuing to be more sourcefull
*/
if (random_state.queued > QEVSLOW && nbits < QEVSBITS) {
rndstats.rnd_drople++;
return;
}
p->last_time = time;
p->last_delta = delta3;
p->last_delta2 = delta2;
} else if (p->max_entropy)
nbits = 8 * sizeof(val) - 1;
s = splhigh();
if ((rep = rnd_event_free) == NULL) {
rndstats.rnd_drops++;
splx(s);
return;
}
rnd_event_free = rep->re_next;
rep->re_state = p;
rep->re_nbits = nbits;
rep->re_time = time;
rep->re_val = val;
rep->re_next = rnd_event_q;
rnd_event_q = rep;
rep = rep->re_next;
random_state.queued++;
rndstats.rnd_enqs++;
rndstats.rnd_ed[nbits]++;
rndstats.rnd_sc[state]++;
rndstats.rnd_sb[state] += nbits;
if (++random_state.queued > QEVSLOW/2 && !random_state.tmo) {
random_state.tmo++;
timeout_add(&rnd_timeout, 1);
}
splx(s);
}
void
dequeue_randomness(v)
void *v;
{
register struct rand_event *rep;
u_int32_t val, time;
u_int nbits;
int s;
timeout_del(&rnd_timeout);
rndstats.rnd_deqs++;
do {
s = splhigh();
if (rnd_event_q == NULL) {
splx(s);
break;
}
rep = rnd_event_q;
rnd_event_q = rep->re_next;
random_state.queued--;
val = rep->re_val;
time = rep->re_time;
nbits = rep->re_nbits;
rep->re_next = rnd_event_free;
rnd_event_free = rep;
splx(s);
/* Prevent overflow */
if ((random_state.entropy_count + nbits) > POOLBITS &&
arc4random_state.cnt > 253)
arc4_stir();
add_entropy_words(&val, 1);
add_entropy_words(&time, 1);
random_state.entropy_count += nbits;
rndstats.rnd_total += nbits;
if (random_state.entropy_count > POOLBITS)
random_state.entropy_count = POOLBITS;
if (random_state.entropy_count > 8 &&
random_state.asleep != 0) {
#ifdef RNDEBUG
if (rnd_debug & RD_WAIT)
printf("rnd: wakeup[%u]{%u}\n",
random_state.asleep,
random_state.entropy_count);
#endif
random_state.asleep--;
wakeup(&random_state.asleep);
}
} while(1);
random_state.tmo = 0;
}
#if POOLWORDS % 16
#error extract_entropy() assumes that POOLWORDS is a multiple of 16 words.
#endif
/*
* This function extracts randomness from the "entropy pool", and
* returns it in a buffer. This function computes how many remaining
* bits of entropy are left in the pool, but it does not restrict the
* number of bytes that are actually obtained.
*/
static __inline void
extract_entropy(buf, nbytes)
register u_int8_t *buf;
int nbytes;
{
MD5_CTX tmp;
u_char buffer[16];
add_timer_randomness(nbytes);
/* Redundant, but just in case... */
if (random_state.entropy_count > POOLBITS)
random_state.entropy_count = POOLBITS;
if (random_state.entropy_count / 8 > nbytes)
random_state.entropy_count -= nbytes*8;
else
random_state.entropy_count = 0;
while (nbytes) {
register u_char *p = buf;
register int i = sizeof(buffer);
if (i > nbytes) {
i = nbytes;
p = buffer;
}
/* Hash the pool to get the output */
MD5Init(&tmp);
MD5Update(&tmp, (u_int8_t*)random_state.pool,
sizeof(random_state.pool));
MD5Final(p, &tmp);
/*
* In case the hash function has some recognizable
* output pattern, we fold it in half.
*/
p[0] ^= p[15];
p[1] ^= p[14];
p[2] ^= p[13];
p[3] ^= p[12];
p[4] ^= p[11];
p[5] ^= p[10];
p[6] ^= p[ 9];
p[7] ^= p[ 8];
/* Modify pool so next hash will produce different results */
add_entropy_words((u_int32_t*)p, sizeof(buffer)/4);
/* Copy data to destination buffer */
if (i < sizeof(buffer))
bcopy(buffer, buf, i);
nbytes -= i;
buf += i;
add_timer_randomness(nbytes);
}
/* Wipe data from memory */
bzero(&tmp, sizeof(tmp));
bzero(&buffer, sizeof(buffer));
}
/*
* This function is the exported kernel interface. It returns some
* number of good random numbers, suitable for seeding TCP sequence
* numbers, etc.
*/
void
get_random_bytes(buf, nbytes)
void *buf;
size_t nbytes;
{
extract_entropy((u_int8_t *) buf, nbytes);
rndstats.rnd_used += nbytes * 8;
}
int
randomread(dev, uio, ioflag)
dev_t dev;
struct uio *uio;
int ioflag;
{
int ret = 0;
int s, i;
if (uio->uio_resid == 0)
return 0;
while (!ret && uio->uio_resid > 0) {
u_int32_t buf[ POOLWORDS ];
int n = min(sizeof(buf), uio->uio_resid);
s = splhigh();
switch(minor(dev)) {
case RND_RND:
ret = EIO; /* no chip -- error */
break;
case RND_SRND:
if (random_state.entropy_count < 16 * 8) {
if (ioflag & IO_NDELAY) {
ret = EWOULDBLOCK;
break;
}
#ifdef RNDEBUG
if (rnd_debug & RD_WAIT)
printf("rnd: sleep[%u]\n",
random_state.asleep);
#endif
random_state.asleep++;
rndstats.rnd_waits++;
ret = tsleep(&random_state.asleep,
PWAIT | PCATCH, "rndrd", 0);
#ifdef RNDEBUG
if (rnd_debug & RD_WAIT)
printf("rnd: awakened(%d)\n", ret);
#endif
if (ret)
break;
}
if (n > random_state.entropy_count / 8)
n = random_state.entropy_count / 8;
rndstats.rnd_reads++;
#ifdef RNDEBUG
if (rnd_debug & RD_OUTPUT)
printf("rnd: %u possible output\n", n);
#endif
case RND_URND:
get_random_bytes((char *)buf, n);
#ifdef RNDEBUG
if (rnd_debug & RD_OUTPUT)
printf("rnd: %u bytes for output\n", n);
#endif
break;
case RND_PRND:
i = (n + 3) / 4;
while (i--)
buf[i] = random() << 16 | (random() & 0xFFFF);
break;
case RND_ARND:
{
u_int8_t *cp = (u_int8_t *) buf;
u_int8_t *end = cp + n;
while (cp < end)
*cp++ = arc4random_8();
break;
}
default:
ret = ENXIO;
}
splx(s);
if (n != 0 && ret == 0)
ret = uiomove((caddr_t)buf, n, uio);
}
return ret;
}
int
randomselect(dev, rw, p)
dev_t dev;
int rw;
struct proc *p;
{
switch (rw) {
case FREAD:
return random_state.entropy_count > 0;
case FWRITE:
return 1;
}
return 0;
}
int
randomwrite(dev, uio, flags)
dev_t dev;
struct uio *uio;
int flags;
{
int ret = 0;
if (minor(dev) == RND_RND || minor(dev) == RND_PRND)
return ENXIO;
if (uio->uio_resid == 0)
return 0;
while (!ret && uio->uio_resid > 0) {
u_int32_t buf[ POOLWORDS ];
u_short n = min(sizeof(buf),uio->uio_resid);
ret = uiomove((caddr_t)buf, n, uio);
if (!ret) {
while (n % sizeof(u_int32_t))
((u_int8_t *) buf)[n++] = 0;
add_entropy_words(buf, n / 4);
}
}
if (minor(dev) == RND_ARND && !ret)
arc4random_initialized = 0;
return ret;
}
int
randomioctl(dev, cmd, data, flag, p)
dev_t dev;
u_long cmd;
caddr_t data;
int flag;
struct proc *p;
{
int ret = 0;
u_int cnt;
add_timer_randomness((u_long)p ^ (u_long)data ^ cmd);
switch (cmd) {
case RNDGETENTCNT:
ret = copyout(&random_state.entropy_count, data,
sizeof(random_state.entropy_count));
break;
case RNDADDTOENTCNT:
if (suser(p->p_ucred, &p->p_acflag) != 0)
ret = EPERM;
else {
copyin(&cnt, data, sizeof(cnt));
random_state.entropy_count += cnt;
if (random_state.entropy_count > POOLBITS)
random_state.entropy_count = POOLBITS;
}
break;
case RNDZAPENTCNT:
if (suser(p->p_ucred, &p->p_acflag) != 0)
ret = EPERM;
else
random_state.entropy_count = 0;
break;
case RNDSTIRARC4:
if (suser(p->p_ucred, &p->p_acflag) != 0)
ret = EPERM;
else if (random_state.entropy_count < 64)
ret = EAGAIN;
else
arc4random_initialized = 0;
break;
case RNDCLRSTATS:
if (suser(p->p_ucred, &p->p_acflag) != 0)
ret = EPERM;
else
bzero(&rndstats, sizeof(rndstats));
break;
default:
ret = EINVAL;
}
add_timer_randomness((u_long)p ^ (u_long)data ^ cmd);
return ret;
}
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