linux/lib/random32.c

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License cleanup: add SPDX GPL-2.0 license identifier to files with no license Many source files in the tree are missing licensing information, which makes it harder for compliance tools to determine the correct license. By default all files without license information are under the default license of the kernel, which is GPL version 2. Update the files which contain no license information with the 'GPL-2.0' SPDX license identifier. The SPDX identifier is a legally binding shorthand, which can be used instead of the full boiler plate text. This patch is based on work done by Thomas Gleixner and Kate Stewart and Philippe Ombredanne. How this work was done: Patches were generated and checked against linux-4.14-rc6 for a subset of the use cases: - file had no licensing information it it. - file was a */uapi/* one with no licensing information in it, - file was a */uapi/* one with existing licensing information, Further patches will be generated in subsequent months to fix up cases where non-standard license headers were used, and references to license had to be inferred by heuristics based on keywords. The analysis to determine which SPDX License Identifier to be applied to a file was done in a spreadsheet of side by side results from of the output of two independent scanners (ScanCode & Windriver) producing SPDX tag:value files created by Philippe Ombredanne. Philippe prepared the base worksheet, and did an initial spot review of a few 1000 files. The 4.13 kernel was the starting point of the analysis with 60,537 files assessed. Kate Stewart did a file by file comparison of the scanner results in the spreadsheet to determine which SPDX license identifier(s) to be applied to the file. She confirmed any determination that was not immediately clear with lawyers working with the Linux Foundation. Criteria used to select files for SPDX license identifier tagging was: - Files considered eligible had to be source code files. - Make and config files were included as candidates if they contained >5 lines of source - File already had some variant of a license header in it (even if <5 lines). All documentation files were explicitly excluded. The following heuristics were used to determine which SPDX license identifiers to apply. - when both scanners couldn't find any license traces, file was considered to have no license information in it, and the top level COPYING file license applied. For non */uapi/* files that summary was: SPDX license identifier # files ---------------------------------------------------|------- GPL-2.0 11139 and resulted in the first patch in this series. If that file was a */uapi/* path one, it was "GPL-2.0 WITH Linux-syscall-note" otherwise it was "GPL-2.0". Results of that was: SPDX license identifier # files ---------------------------------------------------|------- GPL-2.0 WITH Linux-syscall-note 930 and resulted in the second patch in this series. - if a file had some form of licensing information in it, and was one of the */uapi/* ones, it was denoted with the Linux-syscall-note if any GPL family license was found in the file or had no licensing in it (per prior point). Results summary: SPDX license identifier # files ---------------------------------------------------|------ GPL-2.0 WITH Linux-syscall-note 270 GPL-2.0+ WITH Linux-syscall-note 169 ((GPL-2.0 WITH Linux-syscall-note) OR BSD-2-Clause) 21 ((GPL-2.0 WITH Linux-syscall-note) OR BSD-3-Clause) 17 LGPL-2.1+ WITH Linux-syscall-note 15 GPL-1.0+ WITH Linux-syscall-note 14 ((GPL-2.0+ WITH Linux-syscall-note) OR BSD-3-Clause) 5 LGPL-2.0+ WITH Linux-syscall-note 4 LGPL-2.1 WITH Linux-syscall-note 3 ((GPL-2.0 WITH Linux-syscall-note) OR MIT) 3 ((GPL-2.0 WITH Linux-syscall-note) AND MIT) 1 and that resulted in the third patch in this series. - when the two scanners agreed on the detected license(s), that became the concluded license(s). - when there was disagreement between the two scanners (one detected a license but the other didn't, or they both detected different licenses) a manual inspection of the file occurred. - In most cases a manual inspection of the information in the file resulted in a clear resolution of the license that should apply (and which scanner probably needed to revisit its heuristics). - When it was not immediately clear, the license identifier was confirmed with lawyers working with the Linux Foundation. - If there was any question as to the appropriate license identifier, the file was flagged for further research and to be revisited later in time. In total, over 70 hours of logged manual review was done on the spreadsheet to determine the SPDX license identifiers to apply to the source files by Kate, Philippe, Thomas and, in some cases, confirmation by lawyers working with the Linux Foundation. Kate also obtained a third independent scan of the 4.13 code base from FOSSology, and compared selected files where the other two scanners disagreed against that SPDX file, to see if there was new insights. The Windriver scanner is based on an older version of FOSSology in part, so they are related. Thomas did random spot checks in about 500 files from the spreadsheets for the uapi headers and agreed with SPDX license identifier in the files he inspected. For the non-uapi files Thomas did random spot checks in about 15000 files. In initial set of patches against 4.14-rc6, 3 files were found to have copy/paste license identifier errors, and have been fixed to reflect the correct identifier. Additionally Philippe spent 10 hours this week doing a detailed manual inspection and review of the 12,461 patched files from the initial patch version early this week with: - a full scancode scan run, collecting the matched texts, detected license ids and scores - reviewing anything where there was a license detected (about 500+ files) to ensure that the applied SPDX license was correct - reviewing anything where there was no detection but the patch license was not GPL-2.0 WITH Linux-syscall-note to ensure that the applied SPDX license was correct This produced a worksheet with 20 files needing minor correction. This worksheet was then exported into 3 different .csv files for the different types of files to be modified. These .csv files were then reviewed by Greg. Thomas wrote a script to parse the csv files and add the proper SPDX tag to the file, in the format that the file expected. This script was further refined by Greg based on the output to detect more types of files automatically and to distinguish between header and source .c files (which need different comment types.) Finally Greg ran the script using the .csv files to generate the patches. Reviewed-by: Kate Stewart <kstewart@linuxfoundation.org> Reviewed-by: Philippe Ombredanne <pombredanne@nexb.com> Reviewed-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Greg Kroah-Hartman <gregkh@linuxfoundation.org>
2017-11-01 14:07:57 +00:00
// SPDX-License-Identifier: GPL-2.0
/*
* This is a maximally equidistributed combined Tausworthe generator
* based on code from GNU Scientific Library 1.5 (30 Jun 2004)
*
* lfsr113 version:
*
* x_n = (s1_n ^ s2_n ^ s3_n ^ s4_n)
*
* s1_{n+1} = (((s1_n & 4294967294) << 18) ^ (((s1_n << 6) ^ s1_n) >> 13))
* s2_{n+1} = (((s2_n & 4294967288) << 2) ^ (((s2_n << 2) ^ s2_n) >> 27))
* s3_{n+1} = (((s3_n & 4294967280) << 7) ^ (((s3_n << 13) ^ s3_n) >> 21))
* s4_{n+1} = (((s4_n & 4294967168) << 13) ^ (((s4_n << 3) ^ s4_n) >> 12))
*
* The period of this generator is about 2^113 (see erratum paper).
*
* From: P. L'Ecuyer, "Maximally Equidistributed Combined Tausworthe
* Generators", Mathematics of Computation, 65, 213 (1996), 203--213:
* http://www.iro.umontreal.ca/~lecuyer/myftp/papers/tausme.ps
* ftp://ftp.iro.umontreal.ca/pub/simulation/lecuyer/papers/tausme.ps
*
* There is an erratum in the paper "Tables of Maximally Equidistributed
* Combined LFSR Generators", Mathematics of Computation, 68, 225 (1999),
* 261--269: http://www.iro.umontreal.ca/~lecuyer/myftp/papers/tausme2.ps
*
* ... the k_j most significant bits of z_j must be non-zero,
* for each j. (Note: this restriction also applies to the
* computer code given in [4], but was mistakenly not mentioned
* in that paper.)
*
* This affects the seeding procedure by imposing the requirement
* s1 > 1, s2 > 7, s3 > 15, s4 > 127.
*/
#include <linux/types.h>
#include <linux/percpu.h>
#include <linux/export.h>
#include <linux/jiffies.h>
#include <linux/random.h>
#include <linux/sched.h>
#include <linux/bitops.h>
#include <linux/slab.h>
#include <linux/unaligned.h>
/**
random32: rename random32 to prandom This renames all random32 functions to have 'prandom_' prefix as follows: void prandom_seed(u32 seed); /* rename from srandom32() */ u32 prandom_u32(void); /* rename from random32() */ void prandom_seed_state(struct rnd_state *state, u64 seed); /* rename from prandom32_seed() */ u32 prandom_u32_state(struct rnd_state *state); /* rename from prandom32() */ The purpose of this renaming is to prevent some kernel developers from assuming that prandom32() and random32() might imply that only prandom32() was the one using a pseudo-random number generator by prandom32's "p", and the result may be a very embarassing security exposure. This concern was expressed by Theodore Ts'o. And furthermore, I'm going to introduce new functions for getting the requested number of pseudo-random bytes. If I continue to use both prandom32 and random32 prefixes for these functions, the confusion is getting worse. As a result of this renaming, "prandom_" is the common prefix for pseudo-random number library. Currently, srandom32() and random32() are preserved because it is difficult to rename too many users at once. Signed-off-by: Akinobu Mita <akinobu.mita@gmail.com> Cc: "Theodore Ts'o" <tytso@mit.edu> Cc: Robert Love <robert.w.love@intel.com> Cc: Michel Lespinasse <walken@google.com> Cc: Valdis Kletnieks <valdis.kletnieks@vt.edu> Cc: David Laight <david.laight@aculab.com> Cc: Adrian Hunter <adrian.hunter@intel.com> Cc: Artem Bityutskiy <dedekind1@gmail.com> Cc: David Woodhouse <dwmw2@infradead.org> Cc: Eilon Greenstein <eilong@broadcom.com> Signed-off-by: Andrew Morton <akpm@linux-foundation.org> Signed-off-by: Linus Torvalds <torvalds@linux-foundation.org>
2012-12-18 00:04:23 +00:00
* prandom_u32_state - seeded pseudo-random number generator.
* @state: pointer to state structure holding seeded state.
*
* This is used for pseudo-randomness with no outside seeding.
* For more random results, use get_random_u32().
*/
random32: rename random32 to prandom This renames all random32 functions to have 'prandom_' prefix as follows: void prandom_seed(u32 seed); /* rename from srandom32() */ u32 prandom_u32(void); /* rename from random32() */ void prandom_seed_state(struct rnd_state *state, u64 seed); /* rename from prandom32_seed() */ u32 prandom_u32_state(struct rnd_state *state); /* rename from prandom32() */ The purpose of this renaming is to prevent some kernel developers from assuming that prandom32() and random32() might imply that only prandom32() was the one using a pseudo-random number generator by prandom32's "p", and the result may be a very embarassing security exposure. This concern was expressed by Theodore Ts'o. And furthermore, I'm going to introduce new functions for getting the requested number of pseudo-random bytes. If I continue to use both prandom32 and random32 prefixes for these functions, the confusion is getting worse. As a result of this renaming, "prandom_" is the common prefix for pseudo-random number library. Currently, srandom32() and random32() are preserved because it is difficult to rename too many users at once. Signed-off-by: Akinobu Mita <akinobu.mita@gmail.com> Cc: "Theodore Ts'o" <tytso@mit.edu> Cc: Robert Love <robert.w.love@intel.com> Cc: Michel Lespinasse <walken@google.com> Cc: Valdis Kletnieks <valdis.kletnieks@vt.edu> Cc: David Laight <david.laight@aculab.com> Cc: Adrian Hunter <adrian.hunter@intel.com> Cc: Artem Bityutskiy <dedekind1@gmail.com> Cc: David Woodhouse <dwmw2@infradead.org> Cc: Eilon Greenstein <eilong@broadcom.com> Signed-off-by: Andrew Morton <akpm@linux-foundation.org> Signed-off-by: Linus Torvalds <torvalds@linux-foundation.org>
2012-12-18 00:04:23 +00:00
u32 prandom_u32_state(struct rnd_state *state)
{
random32: mix in entropy from core to late initcall Currently, we have a 3-stage seeding process in prandom(): Phase 1 is from the early actual initialization of prandom() subsystem which happens during core_initcall() and remains most likely until the beginning of late_initcall() phase. Here, the system might not have enough entropy available for seeding with strong randomness from the random driver. That means, we currently have a 32bit weak LCG() seeding the PRNG status register 1 and mixing that successively into the other 3 registers just to get it up and running. Phase 2 starts with late_initcall() phase resp. when the random driver has initialized its non-blocking pool with enough entropy. At that time, we throw away *all* inner state from its 4 registers and do a full reseed with strong randomness. Phase 3 starts right after that and does a periodic reseed with random slack of status register 1 by a strong random source again. A problem in phase 1 is that during bootup data structures can be initialized, e.g. on module load time, and thus access a weakly seeded prandom and are never changed for the rest of their live-time, thus carrying along the results from a week seed. Lets make sure that current but also future users access a possibly better early seeded prandom. This patch therefore improves phase 1 by trying to make it more 'unpredictable' through mixing in seed from a possible hardware source. Now, the mix-in xors inner state with the outcome of either of the two functions arch_get_random_{,seed}_int(), preferably arch_get_random_seed_int() as it likely represents a non-deterministic random bit generator in hw rather than a cryptographically secure PRNG in hw. However, not all might have the first one, so we use the PRNG as a fallback if available. As we xor the seed into the current state, the worst case would be that a hardware source could be unverifiable compromised or backdoored. In that case nevertheless it would be as good as our original early seeding function prandom_seed_very_weak() since we mix through xor which is entropy preserving. Joint work with Daniel Borkmann. Signed-off-by: Daniel Borkmann <dborkman@redhat.com> Signed-off-by: Hannes Frederic Sowa <hannes@stressinduktion.org> Signed-off-by: David S. Miller <davem@davemloft.net>
2014-07-28 12:01:38 +00:00
#define TAUSWORTHE(s, a, b, c, d) ((s & c) << d) ^ (((s << a) ^ s) >> b)
random32: upgrade taus88 generator to taus113 from errata paper Since we use prandom*() functions quite often in networking code i.e. in UDP port selection, netfilter code, etc, upgrade the PRNG from Pierre L'Ecuyer's original paper "Maximally Equidistributed Combined Tausworthe Generators", Mathematics of Computation, 65, 213 (1996), 203--213 to the version published in his errata paper [1]. The Tausworthe generator is a maximally-equidistributed generator, that is fast and has good statistical properties [1]. The version presented there upgrades the 3 state LFSR to a 4 state LFSR with increased periodicity from about 2^88 to 2^113. The algorithm is presented in [1] by the very same author who also designed the original algorithm in [2]. Also, by increasing the state, we make it a bit harder for attackers to "guess" the PRNGs internal state. See also discussion in [3]. Now, as we use this sort of weak initialization discussed in [3] only between core_initcall() until late_initcall() time [*] for prandom32*() users, namely in prandom_init(), it is less relevant from late_initcall() onwards as we overwrite seeds through prandom_reseed() anyways with a seed source of higher entropy, that is, get_random_bytes(). In other words, a exhaustive keysearch of 96 bit would be needed. Now, with the help of this patch, this state-search increases further to 128 bit. Initialization needs to make sure that s1 > 1, s2 > 7, s3 > 15, s4 > 127. taus88 and taus113 algorithm is also part of GSL. I added a test case in the next patch to verify internal behaviour of this patch with GSL and ran tests with the dieharder 3.31.1 RNG test suite: $ dieharder -g 052 -a -m 10 -s 1 -S 4137730333 #taus88 $ dieharder -g 054 -a -m 10 -s 1 -S 4137730333 #taus113 With this seed configuration, in order to compare both, we get the following differences: algorithm taus88 taus113 rands/second [**] 1.61e+08 1.37e+08 sts_serial(4, 1st run) WEAK PASSED sts_serial(9, 2nd run) WEAK PASSED rgb_lagged_sum(31) WEAK PASSED We took out diehard_sums test as according to the authors it is considered broken and unusable [4]. Despite that and the slight decrease in performance (which is acceptable), taus113 here passes all 113 tests (only rgb_minimum_distance_5 in WEAK, the rest PASSED). In general, taus/taus113 is considered "very good" by the authors of dieharder [5]. The papers [1][2] states a single warm-up step is sufficient by running quicktaus once on each state to ensure proper initialization of ~s_{0}: Our selection of (s) according to Table 1 of [1] row 1 holds the condition L - k <= r - s, that is, (32 32 32 32) - (31 29 28 25) <= (25 27 15 22) - (18 2 7 13) with r = k - q and q = (6 2 13 3) as also stated by the paper. So according to [2] we are safe with one round of quicktaus for initialization. However we decided to include the warm-up phase of the PRNG as done in GSL in every case as a safety net. We also use the warm up phase to make the output of the RNG easier to verify by the GSL output. In prandom_init(), we also mix random_get_entropy() into it, just like drivers/char/random.c does it, jiffies ^ random_get_entropy(). random-get_entropy() is get_cycles(). xor is entropy preserving so it is fine if it is not implemented by some architectures. Note, this PRNG is *not* used for cryptography in the kernel, but rather as a fast PRNG for various randomizations i.e. in the networking code, or elsewhere for debugging purposes, for example. [*]: In order to generate some "sort of pseduo-randomness", since get_random_bytes() is not yet available for us, we use jiffies and initialize states s1 - s3 with a simple linear congruential generator (LCG), that is x <- x * 69069; and derive s2, s3, from the 32bit initialization from s1. So the above quote from [3] accounts only for the time from core to late initcall, not afterwards. [**] Single threaded run on MacBook Air w/ Intel Core i5-3317U [1] http://www.iro.umontreal.ca/~lecuyer/myftp/papers/tausme2.ps [2] http://www.iro.umontreal.ca/~lecuyer/myftp/papers/tausme.ps [3] http://thread.gmane.org/gmane.comp.encryption.general/12103/ [4] http://code.google.com/p/dieharder/source/browse/trunk/libdieharder/diehard_sums.c?spec=svn490&r=490#20 [5] http://www.phy.duke.edu/~rgb/General/dieharder.php Joint work with Hannes Frederic Sowa. Cc: Florian Weimer <fweimer@redhat.com> Cc: Theodore Ts'o <tytso@mit.edu> Signed-off-by: Daniel Borkmann <dborkman@redhat.com> Signed-off-by: Hannes Frederic Sowa <hannes@stressinduktion.org> Signed-off-by: David S. Miller <davem@davemloft.net>
2013-11-11 11:20:36 +00:00
state->s1 = TAUSWORTHE(state->s1, 6U, 13U, 4294967294U, 18U);
state->s2 = TAUSWORTHE(state->s2, 2U, 27U, 4294967288U, 2U);
state->s3 = TAUSWORTHE(state->s3, 13U, 21U, 4294967280U, 7U);
state->s4 = TAUSWORTHE(state->s4, 3U, 12U, 4294967168U, 13U);
random32: upgrade taus88 generator to taus113 from errata paper Since we use prandom*() functions quite often in networking code i.e. in UDP port selection, netfilter code, etc, upgrade the PRNG from Pierre L'Ecuyer's original paper "Maximally Equidistributed Combined Tausworthe Generators", Mathematics of Computation, 65, 213 (1996), 203--213 to the version published in his errata paper [1]. The Tausworthe generator is a maximally-equidistributed generator, that is fast and has good statistical properties [1]. The version presented there upgrades the 3 state LFSR to a 4 state LFSR with increased periodicity from about 2^88 to 2^113. The algorithm is presented in [1] by the very same author who also designed the original algorithm in [2]. Also, by increasing the state, we make it a bit harder for attackers to "guess" the PRNGs internal state. See also discussion in [3]. Now, as we use this sort of weak initialization discussed in [3] only between core_initcall() until late_initcall() time [*] for prandom32*() users, namely in prandom_init(), it is less relevant from late_initcall() onwards as we overwrite seeds through prandom_reseed() anyways with a seed source of higher entropy, that is, get_random_bytes(). In other words, a exhaustive keysearch of 96 bit would be needed. Now, with the help of this patch, this state-search increases further to 128 bit. Initialization needs to make sure that s1 > 1, s2 > 7, s3 > 15, s4 > 127. taus88 and taus113 algorithm is also part of GSL. I added a test case in the next patch to verify internal behaviour of this patch with GSL and ran tests with the dieharder 3.31.1 RNG test suite: $ dieharder -g 052 -a -m 10 -s 1 -S 4137730333 #taus88 $ dieharder -g 054 -a -m 10 -s 1 -S 4137730333 #taus113 With this seed configuration, in order to compare both, we get the following differences: algorithm taus88 taus113 rands/second [**] 1.61e+08 1.37e+08 sts_serial(4, 1st run) WEAK PASSED sts_serial(9, 2nd run) WEAK PASSED rgb_lagged_sum(31) WEAK PASSED We took out diehard_sums test as according to the authors it is considered broken and unusable [4]. Despite that and the slight decrease in performance (which is acceptable), taus113 here passes all 113 tests (only rgb_minimum_distance_5 in WEAK, the rest PASSED). In general, taus/taus113 is considered "very good" by the authors of dieharder [5]. The papers [1][2] states a single warm-up step is sufficient by running quicktaus once on each state to ensure proper initialization of ~s_{0}: Our selection of (s) according to Table 1 of [1] row 1 holds the condition L - k <= r - s, that is, (32 32 32 32) - (31 29 28 25) <= (25 27 15 22) - (18 2 7 13) with r = k - q and q = (6 2 13 3) as also stated by the paper. So according to [2] we are safe with one round of quicktaus for initialization. However we decided to include the warm-up phase of the PRNG as done in GSL in every case as a safety net. We also use the warm up phase to make the output of the RNG easier to verify by the GSL output. In prandom_init(), we also mix random_get_entropy() into it, just like drivers/char/random.c does it, jiffies ^ random_get_entropy(). random-get_entropy() is get_cycles(). xor is entropy preserving so it is fine if it is not implemented by some architectures. Note, this PRNG is *not* used for cryptography in the kernel, but rather as a fast PRNG for various randomizations i.e. in the networking code, or elsewhere for debugging purposes, for example. [*]: In order to generate some "sort of pseduo-randomness", since get_random_bytes() is not yet available for us, we use jiffies and initialize states s1 - s3 with a simple linear congruential generator (LCG), that is x <- x * 69069; and derive s2, s3, from the 32bit initialization from s1. So the above quote from [3] accounts only for the time from core to late initcall, not afterwards. [**] Single threaded run on MacBook Air w/ Intel Core i5-3317U [1] http://www.iro.umontreal.ca/~lecuyer/myftp/papers/tausme2.ps [2] http://www.iro.umontreal.ca/~lecuyer/myftp/papers/tausme.ps [3] http://thread.gmane.org/gmane.comp.encryption.general/12103/ [4] http://code.google.com/p/dieharder/source/browse/trunk/libdieharder/diehard_sums.c?spec=svn490&r=490#20 [5] http://www.phy.duke.edu/~rgb/General/dieharder.php Joint work with Hannes Frederic Sowa. Cc: Florian Weimer <fweimer@redhat.com> Cc: Theodore Ts'o <tytso@mit.edu> Signed-off-by: Daniel Borkmann <dborkman@redhat.com> Signed-off-by: Hannes Frederic Sowa <hannes@stressinduktion.org> Signed-off-by: David S. Miller <davem@davemloft.net>
2013-11-11 11:20:36 +00:00
return (state->s1 ^ state->s2 ^ state->s3 ^ state->s4);
}
random32: rename random32 to prandom This renames all random32 functions to have 'prandom_' prefix as follows: void prandom_seed(u32 seed); /* rename from srandom32() */ u32 prandom_u32(void); /* rename from random32() */ void prandom_seed_state(struct rnd_state *state, u64 seed); /* rename from prandom32_seed() */ u32 prandom_u32_state(struct rnd_state *state); /* rename from prandom32() */ The purpose of this renaming is to prevent some kernel developers from assuming that prandom32() and random32() might imply that only prandom32() was the one using a pseudo-random number generator by prandom32's "p", and the result may be a very embarassing security exposure. This concern was expressed by Theodore Ts'o. And furthermore, I'm going to introduce new functions for getting the requested number of pseudo-random bytes. If I continue to use both prandom32 and random32 prefixes for these functions, the confusion is getting worse. As a result of this renaming, "prandom_" is the common prefix for pseudo-random number library. Currently, srandom32() and random32() are preserved because it is difficult to rename too many users at once. Signed-off-by: Akinobu Mita <akinobu.mita@gmail.com> Cc: "Theodore Ts'o" <tytso@mit.edu> Cc: Robert Love <robert.w.love@intel.com> Cc: Michel Lespinasse <walken@google.com> Cc: Valdis Kletnieks <valdis.kletnieks@vt.edu> Cc: David Laight <david.laight@aculab.com> Cc: Adrian Hunter <adrian.hunter@intel.com> Cc: Artem Bityutskiy <dedekind1@gmail.com> Cc: David Woodhouse <dwmw2@infradead.org> Cc: Eilon Greenstein <eilong@broadcom.com> Signed-off-by: Andrew Morton <akpm@linux-foundation.org> Signed-off-by: Linus Torvalds <torvalds@linux-foundation.org>
2012-12-18 00:04:23 +00:00
EXPORT_SYMBOL(prandom_u32_state);
/**
* prandom_bytes_state - get the requested number of pseudo-random bytes
*
* @state: pointer to state structure holding seeded state.
* @buf: where to copy the pseudo-random bytes to
* @bytes: the requested number of bytes
*
* This is used for pseudo-randomness with no outside seeding.
* For more random results, use get_random_bytes().
*/
random32: improvements to prandom_bytes This patch addresses a couple of minor items, mostly addesssing prandom_bytes(): 1) prandom_bytes{,_state}() should use size_t for length arguments, 2) We can use put_unaligned() when filling the array instead of open coding it [ perhaps some archs will further benefit from their own arch specific implementation when GCC cannot make up for it ], 3) Fix a typo, 4) Better use unsigned int as type for getting the arch seed, 5) Make use of prandom_u32_max() for timer slack. Regarding the change to put_unaligned(), callers of prandom_bytes() which internally invoke prandom_bytes_state(), don't bother as they expect the array to be filled randomly and don't have any control of the internal state what-so-ever (that's also why we have periodic reseeding there, etc), so they really don't care. Now for the direct callers of prandom_bytes_state(), which are solely located in test cases for MTD devices, that is, drivers/mtd/tests/{oobtest.c,pagetest.c,subpagetest.c}: These tests basically fill a test write-vector through prandom_bytes_state() with an a-priori defined seed each time and write that to a MTD device. Later on, they set up a read-vector and read back that blocks from the device. So in the verification phase, the write-vector is being re-setup [ so same seed and prandom_bytes_state() called ], and then memcmp()'ed against the read-vector to check if the data is the same. Akinobu, Lothar and I also tested this patch and it runs through the 3 relevant MTD test cases w/o any errors on the nandsim device (simulator for MTD devs) for x86_64, ppc64, ARM (i.MX28, i.MX53 and i.MX6): # modprobe nandsim first_id_byte=0x20 second_id_byte=0xac \ third_id_byte=0x00 fourth_id_byte=0x15 # modprobe mtd_oobtest dev=0 # modprobe mtd_pagetest dev=0 # modprobe mtd_subpagetest dev=0 We also don't have any users depending directly on a particular result of the PRNG (except the PRNG self-test itself), and that's just fine as it e.g. allowed us easily to do things like upgrading from taus88 to taus113. Signed-off-by: Daniel Borkmann <dborkman@redhat.com> Tested-by: Akinobu Mita <akinobu.mita@gmail.com> Tested-by: Lothar Waßmann <LW@KARO-electronics.de> Cc: Hannes Frederic Sowa <hannes@stressinduktion.org> Signed-off-by: David S. Miller <davem@davemloft.net>
2014-08-23 15:03:28 +00:00
void prandom_bytes_state(struct rnd_state *state, void *buf, size_t bytes)
{
random32: improvements to prandom_bytes This patch addresses a couple of minor items, mostly addesssing prandom_bytes(): 1) prandom_bytes{,_state}() should use size_t for length arguments, 2) We can use put_unaligned() when filling the array instead of open coding it [ perhaps some archs will further benefit from their own arch specific implementation when GCC cannot make up for it ], 3) Fix a typo, 4) Better use unsigned int as type for getting the arch seed, 5) Make use of prandom_u32_max() for timer slack. Regarding the change to put_unaligned(), callers of prandom_bytes() which internally invoke prandom_bytes_state(), don't bother as they expect the array to be filled randomly and don't have any control of the internal state what-so-ever (that's also why we have periodic reseeding there, etc), so they really don't care. Now for the direct callers of prandom_bytes_state(), which are solely located in test cases for MTD devices, that is, drivers/mtd/tests/{oobtest.c,pagetest.c,subpagetest.c}: These tests basically fill a test write-vector through prandom_bytes_state() with an a-priori defined seed each time and write that to a MTD device. Later on, they set up a read-vector and read back that blocks from the device. So in the verification phase, the write-vector is being re-setup [ so same seed and prandom_bytes_state() called ], and then memcmp()'ed against the read-vector to check if the data is the same. Akinobu, Lothar and I also tested this patch and it runs through the 3 relevant MTD test cases w/o any errors on the nandsim device (simulator for MTD devs) for x86_64, ppc64, ARM (i.MX28, i.MX53 and i.MX6): # modprobe nandsim first_id_byte=0x20 second_id_byte=0xac \ third_id_byte=0x00 fourth_id_byte=0x15 # modprobe mtd_oobtest dev=0 # modprobe mtd_pagetest dev=0 # modprobe mtd_subpagetest dev=0 We also don't have any users depending directly on a particular result of the PRNG (except the PRNG self-test itself), and that's just fine as it e.g. allowed us easily to do things like upgrading from taus88 to taus113. Signed-off-by: Daniel Borkmann <dborkman@redhat.com> Tested-by: Akinobu Mita <akinobu.mita@gmail.com> Tested-by: Lothar Waßmann <LW@KARO-electronics.de> Cc: Hannes Frederic Sowa <hannes@stressinduktion.org> Signed-off-by: David S. Miller <davem@davemloft.net>
2014-08-23 15:03:28 +00:00
u8 *ptr = buf;
random32: improvements to prandom_bytes This patch addresses a couple of minor items, mostly addesssing prandom_bytes(): 1) prandom_bytes{,_state}() should use size_t for length arguments, 2) We can use put_unaligned() when filling the array instead of open coding it [ perhaps some archs will further benefit from their own arch specific implementation when GCC cannot make up for it ], 3) Fix a typo, 4) Better use unsigned int as type for getting the arch seed, 5) Make use of prandom_u32_max() for timer slack. Regarding the change to put_unaligned(), callers of prandom_bytes() which internally invoke prandom_bytes_state(), don't bother as they expect the array to be filled randomly and don't have any control of the internal state what-so-ever (that's also why we have periodic reseeding there, etc), so they really don't care. Now for the direct callers of prandom_bytes_state(), which are solely located in test cases for MTD devices, that is, drivers/mtd/tests/{oobtest.c,pagetest.c,subpagetest.c}: These tests basically fill a test write-vector through prandom_bytes_state() with an a-priori defined seed each time and write that to a MTD device. Later on, they set up a read-vector and read back that blocks from the device. So in the verification phase, the write-vector is being re-setup [ so same seed and prandom_bytes_state() called ], and then memcmp()'ed against the read-vector to check if the data is the same. Akinobu, Lothar and I also tested this patch and it runs through the 3 relevant MTD test cases w/o any errors on the nandsim device (simulator for MTD devs) for x86_64, ppc64, ARM (i.MX28, i.MX53 and i.MX6): # modprobe nandsim first_id_byte=0x20 second_id_byte=0xac \ third_id_byte=0x00 fourth_id_byte=0x15 # modprobe mtd_oobtest dev=0 # modprobe mtd_pagetest dev=0 # modprobe mtd_subpagetest dev=0 We also don't have any users depending directly on a particular result of the PRNG (except the PRNG self-test itself), and that's just fine as it e.g. allowed us easily to do things like upgrading from taus88 to taus113. Signed-off-by: Daniel Borkmann <dborkman@redhat.com> Tested-by: Akinobu Mita <akinobu.mita@gmail.com> Tested-by: Lothar Waßmann <LW@KARO-electronics.de> Cc: Hannes Frederic Sowa <hannes@stressinduktion.org> Signed-off-by: David S. Miller <davem@davemloft.net>
2014-08-23 15:03:28 +00:00
while (bytes >= sizeof(u32)) {
put_unaligned(prandom_u32_state(state), (u32 *) ptr);
ptr += sizeof(u32);
bytes -= sizeof(u32);
}
random32: improvements to prandom_bytes This patch addresses a couple of minor items, mostly addesssing prandom_bytes(): 1) prandom_bytes{,_state}() should use size_t for length arguments, 2) We can use put_unaligned() when filling the array instead of open coding it [ perhaps some archs will further benefit from their own arch specific implementation when GCC cannot make up for it ], 3) Fix a typo, 4) Better use unsigned int as type for getting the arch seed, 5) Make use of prandom_u32_max() for timer slack. Regarding the change to put_unaligned(), callers of prandom_bytes() which internally invoke prandom_bytes_state(), don't bother as they expect the array to be filled randomly and don't have any control of the internal state what-so-ever (that's also why we have periodic reseeding there, etc), so they really don't care. Now for the direct callers of prandom_bytes_state(), which are solely located in test cases for MTD devices, that is, drivers/mtd/tests/{oobtest.c,pagetest.c,subpagetest.c}: These tests basically fill a test write-vector through prandom_bytes_state() with an a-priori defined seed each time and write that to a MTD device. Later on, they set up a read-vector and read back that blocks from the device. So in the verification phase, the write-vector is being re-setup [ so same seed and prandom_bytes_state() called ], and then memcmp()'ed against the read-vector to check if the data is the same. Akinobu, Lothar and I also tested this patch and it runs through the 3 relevant MTD test cases w/o any errors on the nandsim device (simulator for MTD devs) for x86_64, ppc64, ARM (i.MX28, i.MX53 and i.MX6): # modprobe nandsim first_id_byte=0x20 second_id_byte=0xac \ third_id_byte=0x00 fourth_id_byte=0x15 # modprobe mtd_oobtest dev=0 # modprobe mtd_pagetest dev=0 # modprobe mtd_subpagetest dev=0 We also don't have any users depending directly on a particular result of the PRNG (except the PRNG self-test itself), and that's just fine as it e.g. allowed us easily to do things like upgrading from taus88 to taus113. Signed-off-by: Daniel Borkmann <dborkman@redhat.com> Tested-by: Akinobu Mita <akinobu.mita@gmail.com> Tested-by: Lothar Waßmann <LW@KARO-electronics.de> Cc: Hannes Frederic Sowa <hannes@stressinduktion.org> Signed-off-by: David S. Miller <davem@davemloft.net>
2014-08-23 15:03:28 +00:00
if (bytes > 0) {
u32 rem = prandom_u32_state(state);
do {
*ptr++ = (u8) rem;
bytes--;
rem >>= BITS_PER_BYTE;
} while (bytes > 0);
}
}
EXPORT_SYMBOL(prandom_bytes_state);
random32: upgrade taus88 generator to taus113 from errata paper Since we use prandom*() functions quite often in networking code i.e. in UDP port selection, netfilter code, etc, upgrade the PRNG from Pierre L'Ecuyer's original paper "Maximally Equidistributed Combined Tausworthe Generators", Mathematics of Computation, 65, 213 (1996), 203--213 to the version published in his errata paper [1]. The Tausworthe generator is a maximally-equidistributed generator, that is fast and has good statistical properties [1]. The version presented there upgrades the 3 state LFSR to a 4 state LFSR with increased periodicity from about 2^88 to 2^113. The algorithm is presented in [1] by the very same author who also designed the original algorithm in [2]. Also, by increasing the state, we make it a bit harder for attackers to "guess" the PRNGs internal state. See also discussion in [3]. Now, as we use this sort of weak initialization discussed in [3] only between core_initcall() until late_initcall() time [*] for prandom32*() users, namely in prandom_init(), it is less relevant from late_initcall() onwards as we overwrite seeds through prandom_reseed() anyways with a seed source of higher entropy, that is, get_random_bytes(). In other words, a exhaustive keysearch of 96 bit would be needed. Now, with the help of this patch, this state-search increases further to 128 bit. Initialization needs to make sure that s1 > 1, s2 > 7, s3 > 15, s4 > 127. taus88 and taus113 algorithm is also part of GSL. I added a test case in the next patch to verify internal behaviour of this patch with GSL and ran tests with the dieharder 3.31.1 RNG test suite: $ dieharder -g 052 -a -m 10 -s 1 -S 4137730333 #taus88 $ dieharder -g 054 -a -m 10 -s 1 -S 4137730333 #taus113 With this seed configuration, in order to compare both, we get the following differences: algorithm taus88 taus113 rands/second [**] 1.61e+08 1.37e+08 sts_serial(4, 1st run) WEAK PASSED sts_serial(9, 2nd run) WEAK PASSED rgb_lagged_sum(31) WEAK PASSED We took out diehard_sums test as according to the authors it is considered broken and unusable [4]. Despite that and the slight decrease in performance (which is acceptable), taus113 here passes all 113 tests (only rgb_minimum_distance_5 in WEAK, the rest PASSED). In general, taus/taus113 is considered "very good" by the authors of dieharder [5]. The papers [1][2] states a single warm-up step is sufficient by running quicktaus once on each state to ensure proper initialization of ~s_{0}: Our selection of (s) according to Table 1 of [1] row 1 holds the condition L - k <= r - s, that is, (32 32 32 32) - (31 29 28 25) <= (25 27 15 22) - (18 2 7 13) with r = k - q and q = (6 2 13 3) as also stated by the paper. So according to [2] we are safe with one round of quicktaus for initialization. However we decided to include the warm-up phase of the PRNG as done in GSL in every case as a safety net. We also use the warm up phase to make the output of the RNG easier to verify by the GSL output. In prandom_init(), we also mix random_get_entropy() into it, just like drivers/char/random.c does it, jiffies ^ random_get_entropy(). random-get_entropy() is get_cycles(). xor is entropy preserving so it is fine if it is not implemented by some architectures. Note, this PRNG is *not* used for cryptography in the kernel, but rather as a fast PRNG for various randomizations i.e. in the networking code, or elsewhere for debugging purposes, for example. [*]: In order to generate some "sort of pseduo-randomness", since get_random_bytes() is not yet available for us, we use jiffies and initialize states s1 - s3 with a simple linear congruential generator (LCG), that is x <- x * 69069; and derive s2, s3, from the 32bit initialization from s1. So the above quote from [3] accounts only for the time from core to late initcall, not afterwards. [**] Single threaded run on MacBook Air w/ Intel Core i5-3317U [1] http://www.iro.umontreal.ca/~lecuyer/myftp/papers/tausme2.ps [2] http://www.iro.umontreal.ca/~lecuyer/myftp/papers/tausme.ps [3] http://thread.gmane.org/gmane.comp.encryption.general/12103/ [4] http://code.google.com/p/dieharder/source/browse/trunk/libdieharder/diehard_sums.c?spec=svn490&r=490#20 [5] http://www.phy.duke.edu/~rgb/General/dieharder.php Joint work with Hannes Frederic Sowa. Cc: Florian Weimer <fweimer@redhat.com> Cc: Theodore Ts'o <tytso@mit.edu> Signed-off-by: Daniel Borkmann <dborkman@redhat.com> Signed-off-by: Hannes Frederic Sowa <hannes@stressinduktion.org> Signed-off-by: David S. Miller <davem@davemloft.net>
2013-11-11 11:20:36 +00:00
static void prandom_warmup(struct rnd_state *state)
{
random32: improvements to prandom_bytes This patch addresses a couple of minor items, mostly addesssing prandom_bytes(): 1) prandom_bytes{,_state}() should use size_t for length arguments, 2) We can use put_unaligned() when filling the array instead of open coding it [ perhaps some archs will further benefit from their own arch specific implementation when GCC cannot make up for it ], 3) Fix a typo, 4) Better use unsigned int as type for getting the arch seed, 5) Make use of prandom_u32_max() for timer slack. Regarding the change to put_unaligned(), callers of prandom_bytes() which internally invoke prandom_bytes_state(), don't bother as they expect the array to be filled randomly and don't have any control of the internal state what-so-ever (that's also why we have periodic reseeding there, etc), so they really don't care. Now for the direct callers of prandom_bytes_state(), which are solely located in test cases for MTD devices, that is, drivers/mtd/tests/{oobtest.c,pagetest.c,subpagetest.c}: These tests basically fill a test write-vector through prandom_bytes_state() with an a-priori defined seed each time and write that to a MTD device. Later on, they set up a read-vector and read back that blocks from the device. So in the verification phase, the write-vector is being re-setup [ so same seed and prandom_bytes_state() called ], and then memcmp()'ed against the read-vector to check if the data is the same. Akinobu, Lothar and I also tested this patch and it runs through the 3 relevant MTD test cases w/o any errors on the nandsim device (simulator for MTD devs) for x86_64, ppc64, ARM (i.MX28, i.MX53 and i.MX6): # modprobe nandsim first_id_byte=0x20 second_id_byte=0xac \ third_id_byte=0x00 fourth_id_byte=0x15 # modprobe mtd_oobtest dev=0 # modprobe mtd_pagetest dev=0 # modprobe mtd_subpagetest dev=0 We also don't have any users depending directly on a particular result of the PRNG (except the PRNG self-test itself), and that's just fine as it e.g. allowed us easily to do things like upgrading from taus88 to taus113. Signed-off-by: Daniel Borkmann <dborkman@redhat.com> Tested-by: Akinobu Mita <akinobu.mita@gmail.com> Tested-by: Lothar Waßmann <LW@KARO-electronics.de> Cc: Hannes Frederic Sowa <hannes@stressinduktion.org> Signed-off-by: David S. Miller <davem@davemloft.net>
2014-08-23 15:03:28 +00:00
/* Calling RNG ten times to satisfy recurrence condition */
random32: upgrade taus88 generator to taus113 from errata paper Since we use prandom*() functions quite often in networking code i.e. in UDP port selection, netfilter code, etc, upgrade the PRNG from Pierre L'Ecuyer's original paper "Maximally Equidistributed Combined Tausworthe Generators", Mathematics of Computation, 65, 213 (1996), 203--213 to the version published in his errata paper [1]. The Tausworthe generator is a maximally-equidistributed generator, that is fast and has good statistical properties [1]. The version presented there upgrades the 3 state LFSR to a 4 state LFSR with increased periodicity from about 2^88 to 2^113. The algorithm is presented in [1] by the very same author who also designed the original algorithm in [2]. Also, by increasing the state, we make it a bit harder for attackers to "guess" the PRNGs internal state. See also discussion in [3]. Now, as we use this sort of weak initialization discussed in [3] only between core_initcall() until late_initcall() time [*] for prandom32*() users, namely in prandom_init(), it is less relevant from late_initcall() onwards as we overwrite seeds through prandom_reseed() anyways with a seed source of higher entropy, that is, get_random_bytes(). In other words, a exhaustive keysearch of 96 bit would be needed. Now, with the help of this patch, this state-search increases further to 128 bit. Initialization needs to make sure that s1 > 1, s2 > 7, s3 > 15, s4 > 127. taus88 and taus113 algorithm is also part of GSL. I added a test case in the next patch to verify internal behaviour of this patch with GSL and ran tests with the dieharder 3.31.1 RNG test suite: $ dieharder -g 052 -a -m 10 -s 1 -S 4137730333 #taus88 $ dieharder -g 054 -a -m 10 -s 1 -S 4137730333 #taus113 With this seed configuration, in order to compare both, we get the following differences: algorithm taus88 taus113 rands/second [**] 1.61e+08 1.37e+08 sts_serial(4, 1st run) WEAK PASSED sts_serial(9, 2nd run) WEAK PASSED rgb_lagged_sum(31) WEAK PASSED We took out diehard_sums test as according to the authors it is considered broken and unusable [4]. Despite that and the slight decrease in performance (which is acceptable), taus113 here passes all 113 tests (only rgb_minimum_distance_5 in WEAK, the rest PASSED). In general, taus/taus113 is considered "very good" by the authors of dieharder [5]. The papers [1][2] states a single warm-up step is sufficient by running quicktaus once on each state to ensure proper initialization of ~s_{0}: Our selection of (s) according to Table 1 of [1] row 1 holds the condition L - k <= r - s, that is, (32 32 32 32) - (31 29 28 25) <= (25 27 15 22) - (18 2 7 13) with r = k - q and q = (6 2 13 3) as also stated by the paper. So according to [2] we are safe with one round of quicktaus for initialization. However we decided to include the warm-up phase of the PRNG as done in GSL in every case as a safety net. We also use the warm up phase to make the output of the RNG easier to verify by the GSL output. In prandom_init(), we also mix random_get_entropy() into it, just like drivers/char/random.c does it, jiffies ^ random_get_entropy(). random-get_entropy() is get_cycles(). xor is entropy preserving so it is fine if it is not implemented by some architectures. Note, this PRNG is *not* used for cryptography in the kernel, but rather as a fast PRNG for various randomizations i.e. in the networking code, or elsewhere for debugging purposes, for example. [*]: In order to generate some "sort of pseduo-randomness", since get_random_bytes() is not yet available for us, we use jiffies and initialize states s1 - s3 with a simple linear congruential generator (LCG), that is x <- x * 69069; and derive s2, s3, from the 32bit initialization from s1. So the above quote from [3] accounts only for the time from core to late initcall, not afterwards. [**] Single threaded run on MacBook Air w/ Intel Core i5-3317U [1] http://www.iro.umontreal.ca/~lecuyer/myftp/papers/tausme2.ps [2] http://www.iro.umontreal.ca/~lecuyer/myftp/papers/tausme.ps [3] http://thread.gmane.org/gmane.comp.encryption.general/12103/ [4] http://code.google.com/p/dieharder/source/browse/trunk/libdieharder/diehard_sums.c?spec=svn490&r=490#20 [5] http://www.phy.duke.edu/~rgb/General/dieharder.php Joint work with Hannes Frederic Sowa. Cc: Florian Weimer <fweimer@redhat.com> Cc: Theodore Ts'o <tytso@mit.edu> Signed-off-by: Daniel Borkmann <dborkman@redhat.com> Signed-off-by: Hannes Frederic Sowa <hannes@stressinduktion.org> Signed-off-by: David S. Miller <davem@davemloft.net>
2013-11-11 11:20:36 +00:00
prandom_u32_state(state);
prandom_u32_state(state);
prandom_u32_state(state);
prandom_u32_state(state);
prandom_u32_state(state);
prandom_u32_state(state);
prandom_u32_state(state);
prandom_u32_state(state);
prandom_u32_state(state);
prandom_u32_state(state);
}
void prandom_seed_full_state(struct rnd_state __percpu *pcpu_state)
{
int i;
for_each_possible_cpu(i) {
struct rnd_state *state = per_cpu_ptr(pcpu_state, i);
u32 seeds[4];
get_random_bytes(&seeds, sizeof(seeds));
state->s1 = __seed(seeds[0], 2U);
state->s2 = __seed(seeds[1], 8U);
state->s3 = __seed(seeds[2], 16U);
state->s4 = __seed(seeds[3], 128U);
prandom_warmup(state);
}
}
EXPORT_SYMBOL(prandom_seed_full_state);
#ifdef CONFIG_RANDOM32_SELFTEST
static struct prandom_test1 {
u32 seed;
u32 result;
} test1[] = {
{ 1U, 3484351685U },
{ 2U, 2623130059U },
{ 3U, 3125133893U },
{ 4U, 984847254U },
};
static struct prandom_test2 {
u32 seed;
u32 iteration;
u32 result;
} test2[] = {
/* Test cases against taus113 from GSL library. */
{ 931557656U, 959U, 2975593782U },
{ 1339693295U, 876U, 3887776532U },
{ 1545556285U, 961U, 1615538833U },
{ 601730776U, 723U, 1776162651U },
{ 1027516047U, 687U, 511983079U },
{ 416526298U, 700U, 916156552U },
{ 1395522032U, 652U, 2222063676U },
{ 366221443U, 617U, 2992857763U },
{ 1539836965U, 714U, 3783265725U },
{ 556206671U, 994U, 799626459U },
{ 684907218U, 799U, 367789491U },
{ 2121230701U, 931U, 2115467001U },
{ 1668516451U, 644U, 3620590685U },
{ 768046066U, 883U, 2034077390U },
{ 1989159136U, 833U, 1195767305U },
{ 536585145U, 996U, 3577259204U },
{ 1008129373U, 642U, 1478080776U },
{ 1740775604U, 939U, 1264980372U },
{ 1967883163U, 508U, 10734624U },
{ 1923019697U, 730U, 3821419629U },
{ 442079932U, 560U, 3440032343U },
{ 1961302714U, 845U, 841962572U },
{ 2030205964U, 962U, 1325144227U },
{ 1160407529U, 507U, 240940858U },
{ 635482502U, 779U, 4200489746U },
{ 1252788931U, 699U, 867195434U },
{ 1961817131U, 719U, 668237657U },
{ 1071468216U, 983U, 917876630U },
{ 1281848367U, 932U, 1003100039U },
{ 582537119U, 780U, 1127273778U },
{ 1973672777U, 853U, 1071368872U },
{ 1896756996U, 762U, 1127851055U },
{ 847917054U, 500U, 1717499075U },
{ 1240520510U, 951U, 2849576657U },
{ 1685071682U, 567U, 1961810396U },
{ 1516232129U, 557U, 3173877U },
{ 1208118903U, 612U, 1613145022U },
{ 1817269927U, 693U, 4279122573U },
{ 1510091701U, 717U, 638191229U },
{ 365916850U, 807U, 600424314U },
{ 399324359U, 702U, 1803598116U },
{ 1318480274U, 779U, 2074237022U },
{ 697758115U, 840U, 1483639402U },
{ 1696507773U, 840U, 577415447U },
{ 2081979121U, 981U, 3041486449U },
{ 955646687U, 742U, 3846494357U },
{ 1250683506U, 749U, 836419859U },
{ 595003102U, 534U, 366794109U },
{ 47485338U, 558U, 3521120834U },
{ 619433479U, 610U, 3991783875U },
{ 704096520U, 518U, 4139493852U },
{ 1712224984U, 606U, 2393312003U },
{ 1318233152U, 922U, 3880361134U },
{ 855572992U, 761U, 1472974787U },
{ 64721421U, 703U, 683860550U },
{ 678931758U, 840U, 380616043U },
{ 692711973U, 778U, 1382361947U },
{ 677703619U, 530U, 2826914161U },
{ 92393223U, 586U, 1522128471U },
{ 1222592920U, 743U, 3466726667U },
{ 358288986U, 695U, 1091956998U },
{ 1935056945U, 958U, 514864477U },
{ 735675993U, 990U, 1294239989U },
{ 1560089402U, 897U, 2238551287U },
{ 70616361U, 829U, 22483098U },
{ 368234700U, 731U, 2913875084U },
{ 20221190U, 879U, 1564152970U },
{ 539444654U, 682U, 1835141259U },
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random32: use real rng for non-deterministic randomness random32.c has two random number generators in it: one that is meant to be used deterministically, with some predefined seed, and one that does the same exact thing as random.c, except does it poorly. The first one has some use cases. The second one no longer does and can be replaced with calls to random.c's proper random number generator. The relatively recent siphash-based bad random32.c code was added in response to concerns that the prior random32.c was too deterministic. Out of fears that random.c was (at the time) too slow, this code was anonymously contributed. Then out of that emerged a kind of shadow entropy gathering system, with its own tentacles throughout various net code, added willy nilly. Stop👏making👏bespoke👏random👏number👏generators👏. Fortunately, recent advances in random.c mean that we can stop playing with this sketchiness, and just use get_random_u32(), which is now fast enough. In micro benchmarks using RDPMC, I'm seeing the same median cycle count between the two functions, with the mean being _slightly_ higher due to batches refilling (which we can optimize further need be). However, when doing *real* benchmarks of the net functions that actually use these random numbers, the mean cycles actually *decreased* slightly (with the median still staying the same), likely because the additional prandom code means icache misses and complexity, whereas random.c is generally already being used by something else nearby. The biggest benefit of this is that there are many users of prandom who probably should be using cryptographically secure random numbers. This makes all of those accidental cases become secure by just flipping a switch. Later on, we can do a tree-wide cleanup to remove the static inline wrapper functions that this commit adds. There are also some low-ish hanging fruits for making this even faster in the future: a get_random_u16() function for use in the networking stack will give a 2x performance boost there, using SIMD for ChaCha20 will let us compute 4 or 8 or 16 blocks of output in parallel, instead of just one, giving us large buffers for cheap, and introducing a get_random_*_bh() function that assumes irqs are already disabled will shave off a few cycles for ordinary calls. These are things we can chip away at down the road. Acked-by: Jakub Kicinski <kuba@kernel.org> Acked-by: Theodore Ts'o <tytso@mit.edu> Signed-off-by: Jason A. Donenfeld <Jason@zx2c4.com>
2022-05-11 14:11:29 +00:00
static void prandom_state_selftest_seed(struct rnd_state *state, u32 seed)
random32: make prandom_u32() output unpredictable Non-cryptographic PRNGs may have great statistical properties, but are usually trivially predictable to someone who knows the algorithm, given a small sample of their output. An LFSR like prandom_u32() is particularly simple, even if the sample is widely scattered bits. It turns out the network stack uses prandom_u32() for some things like random port numbers which it would prefer are *not* trivially predictable. Predictability led to a practical DNS spoofing attack. Oops. This patch replaces the LFSR with a homebrew cryptographic PRNG based on the SipHash round function, which is in turn seeded with 128 bits of strong random key. (The authors of SipHash have *not* been consulted about this abuse of their algorithm.) Speed is prioritized over security; attacks are rare, while performance is always wanted. Replacing all callers of prandom_u32() is the quick fix. Whether to reinstate a weaker PRNG for uses which can tolerate it is an open question. Commit f227e3ec3b5c ("random32: update the net random state on interrupt and activity") was an earlier attempt at a solution. This patch replaces it. Reported-by: Amit Klein <aksecurity@gmail.com> Cc: Willy Tarreau <w@1wt.eu> Cc: Eric Dumazet <edumazet@google.com> Cc: "Jason A. Donenfeld" <Jason@zx2c4.com> Cc: Andy Lutomirski <luto@kernel.org> Cc: Kees Cook <keescook@chromium.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: tytso@mit.edu Cc: Florian Westphal <fw@strlen.de> Cc: Marc Plumb <lkml.mplumb@gmail.com> Fixes: f227e3ec3b5c ("random32: update the net random state on interrupt and activity") Signed-off-by: George Spelvin <lkml@sdf.org> Link: https://lore.kernel.org/netdev/20200808152628.GA27941@SDF.ORG/ [ willy: partial reversal of f227e3ec3b5c; moved SIPROUND definitions to prandom.h for later use; merged George's prandom_seed() proposal; inlined siprand_u32(); replaced the net_rand_state[] array with 4 members to fix a build issue; cosmetic cleanups to make checkpatch happy; fixed RANDOM32_SELFTEST build ] Signed-off-by: Willy Tarreau <w@1wt.eu>
2020-08-09 06:57:44 +00:00
{
#define LCG(x) ((x) * 69069U) /* super-duper LCG */
random32: use real rng for non-deterministic randomness random32.c has two random number generators in it: one that is meant to be used deterministically, with some predefined seed, and one that does the same exact thing as random.c, except does it poorly. The first one has some use cases. The second one no longer does and can be replaced with calls to random.c's proper random number generator. The relatively recent siphash-based bad random32.c code was added in response to concerns that the prior random32.c was too deterministic. Out of fears that random.c was (at the time) too slow, this code was anonymously contributed. Then out of that emerged a kind of shadow entropy gathering system, with its own tentacles throughout various net code, added willy nilly. Stop👏making👏bespoke👏random👏number👏generators👏. Fortunately, recent advances in random.c mean that we can stop playing with this sketchiness, and just use get_random_u32(), which is now fast enough. In micro benchmarks using RDPMC, I'm seeing the same median cycle count between the two functions, with the mean being _slightly_ higher due to batches refilling (which we can optimize further need be). However, when doing *real* benchmarks of the net functions that actually use these random numbers, the mean cycles actually *decreased* slightly (with the median still staying the same), likely because the additional prandom code means icache misses and complexity, whereas random.c is generally already being used by something else nearby. The biggest benefit of this is that there are many users of prandom who probably should be using cryptographically secure random numbers. This makes all of those accidental cases become secure by just flipping a switch. Later on, we can do a tree-wide cleanup to remove the static inline wrapper functions that this commit adds. There are also some low-ish hanging fruits for making this even faster in the future: a get_random_u16() function for use in the networking stack will give a 2x performance boost there, using SIMD for ChaCha20 will let us compute 4 or 8 or 16 blocks of output in parallel, instead of just one, giving us large buffers for cheap, and introducing a get_random_*_bh() function that assumes irqs are already disabled will shave off a few cycles for ordinary calls. These are things we can chip away at down the road. Acked-by: Jakub Kicinski <kuba@kernel.org> Acked-by: Theodore Ts'o <tytso@mit.edu> Signed-off-by: Jason A. Donenfeld <Jason@zx2c4.com>
2022-05-11 14:11:29 +00:00
state->s1 = __seed(LCG(seed), 2U);
state->s2 = __seed(LCG(state->s1), 8U);
state->s3 = __seed(LCG(state->s2), 16U);
state->s4 = __seed(LCG(state->s3), 128U);
random32: make prandom_u32() output unpredictable Non-cryptographic PRNGs may have great statistical properties, but are usually trivially predictable to someone who knows the algorithm, given a small sample of their output. An LFSR like prandom_u32() is particularly simple, even if the sample is widely scattered bits. It turns out the network stack uses prandom_u32() for some things like random port numbers which it would prefer are *not* trivially predictable. Predictability led to a practical DNS spoofing attack. Oops. This patch replaces the LFSR with a homebrew cryptographic PRNG based on the SipHash round function, which is in turn seeded with 128 bits of strong random key. (The authors of SipHash have *not* been consulted about this abuse of their algorithm.) Speed is prioritized over security; attacks are rare, while performance is always wanted. Replacing all callers of prandom_u32() is the quick fix. Whether to reinstate a weaker PRNG for uses which can tolerate it is an open question. Commit f227e3ec3b5c ("random32: update the net random state on interrupt and activity") was an earlier attempt at a solution. This patch replaces it. Reported-by: Amit Klein <aksecurity@gmail.com> Cc: Willy Tarreau <w@1wt.eu> Cc: Eric Dumazet <edumazet@google.com> Cc: "Jason A. Donenfeld" <Jason@zx2c4.com> Cc: Andy Lutomirski <luto@kernel.org> Cc: Kees Cook <keescook@chromium.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: tytso@mit.edu Cc: Florian Westphal <fw@strlen.de> Cc: Marc Plumb <lkml.mplumb@gmail.com> Fixes: f227e3ec3b5c ("random32: update the net random state on interrupt and activity") Signed-off-by: George Spelvin <lkml@sdf.org> Link: https://lore.kernel.org/netdev/20200808152628.GA27941@SDF.ORG/ [ willy: partial reversal of f227e3ec3b5c; moved SIPROUND definitions to prandom.h for later use; merged George's prandom_seed() proposal; inlined siprand_u32(); replaced the net_rand_state[] array with 4 members to fix a build issue; cosmetic cleanups to make checkpatch happy; fixed RANDOM32_SELFTEST build ] Signed-off-by: Willy Tarreau <w@1wt.eu>
2020-08-09 06:57:44 +00:00
}
static int __init prandom_state_selftest(void)
{
int i, j, errors = 0, runs = 0;
bool error = false;
for (i = 0; i < ARRAY_SIZE(test1); i++) {
struct rnd_state state;
random32: use real rng for non-deterministic randomness random32.c has two random number generators in it: one that is meant to be used deterministically, with some predefined seed, and one that does the same exact thing as random.c, except does it poorly. The first one has some use cases. The second one no longer does and can be replaced with calls to random.c's proper random number generator. The relatively recent siphash-based bad random32.c code was added in response to concerns that the prior random32.c was too deterministic. Out of fears that random.c was (at the time) too slow, this code was anonymously contributed. Then out of that emerged a kind of shadow entropy gathering system, with its own tentacles throughout various net code, added willy nilly. Stop👏making👏bespoke👏random👏number👏generators👏. Fortunately, recent advances in random.c mean that we can stop playing with this sketchiness, and just use get_random_u32(), which is now fast enough. In micro benchmarks using RDPMC, I'm seeing the same median cycle count between the two functions, with the mean being _slightly_ higher due to batches refilling (which we can optimize further need be). However, when doing *real* benchmarks of the net functions that actually use these random numbers, the mean cycles actually *decreased* slightly (with the median still staying the same), likely because the additional prandom code means icache misses and complexity, whereas random.c is generally already being used by something else nearby. The biggest benefit of this is that there are many users of prandom who probably should be using cryptographically secure random numbers. This makes all of those accidental cases become secure by just flipping a switch. Later on, we can do a tree-wide cleanup to remove the static inline wrapper functions that this commit adds. There are also some low-ish hanging fruits for making this even faster in the future: a get_random_u16() function for use in the networking stack will give a 2x performance boost there, using SIMD for ChaCha20 will let us compute 4 or 8 or 16 blocks of output in parallel, instead of just one, giving us large buffers for cheap, and introducing a get_random_*_bh() function that assumes irqs are already disabled will shave off a few cycles for ordinary calls. These are things we can chip away at down the road. Acked-by: Jakub Kicinski <kuba@kernel.org> Acked-by: Theodore Ts'o <tytso@mit.edu> Signed-off-by: Jason A. Donenfeld <Jason@zx2c4.com>
2022-05-11 14:11:29 +00:00
prandom_state_selftest_seed(&state, test1[i].seed);
prandom_warmup(&state);
if (test1[i].result != prandom_u32_state(&state))
error = true;
}
if (error)
pr_warn("prandom: seed boundary self test failed\n");
else
pr_info("prandom: seed boundary self test passed\n");
for (i = 0; i < ARRAY_SIZE(test2); i++) {
struct rnd_state state;
random32: use real rng for non-deterministic randomness random32.c has two random number generators in it: one that is meant to be used deterministically, with some predefined seed, and one that does the same exact thing as random.c, except does it poorly. The first one has some use cases. The second one no longer does and can be replaced with calls to random.c's proper random number generator. The relatively recent siphash-based bad random32.c code was added in response to concerns that the prior random32.c was too deterministic. Out of fears that random.c was (at the time) too slow, this code was anonymously contributed. Then out of that emerged a kind of shadow entropy gathering system, with its own tentacles throughout various net code, added willy nilly. Stop👏making👏bespoke👏random👏number👏generators👏. Fortunately, recent advances in random.c mean that we can stop playing with this sketchiness, and just use get_random_u32(), which is now fast enough. In micro benchmarks using RDPMC, I'm seeing the same median cycle count between the two functions, with the mean being _slightly_ higher due to batches refilling (which we can optimize further need be). However, when doing *real* benchmarks of the net functions that actually use these random numbers, the mean cycles actually *decreased* slightly (with the median still staying the same), likely because the additional prandom code means icache misses and complexity, whereas random.c is generally already being used by something else nearby. The biggest benefit of this is that there are many users of prandom who probably should be using cryptographically secure random numbers. This makes all of those accidental cases become secure by just flipping a switch. Later on, we can do a tree-wide cleanup to remove the static inline wrapper functions that this commit adds. There are also some low-ish hanging fruits for making this even faster in the future: a get_random_u16() function for use in the networking stack will give a 2x performance boost there, using SIMD for ChaCha20 will let us compute 4 or 8 or 16 blocks of output in parallel, instead of just one, giving us large buffers for cheap, and introducing a get_random_*_bh() function that assumes irqs are already disabled will shave off a few cycles for ordinary calls. These are things we can chip away at down the road. Acked-by: Jakub Kicinski <kuba@kernel.org> Acked-by: Theodore Ts'o <tytso@mit.edu> Signed-off-by: Jason A. Donenfeld <Jason@zx2c4.com>
2022-05-11 14:11:29 +00:00
prandom_state_selftest_seed(&state, test2[i].seed);
prandom_warmup(&state);
for (j = 0; j < test2[i].iteration - 1; j++)
prandom_u32_state(&state);
if (test2[i].result != prandom_u32_state(&state))
errors++;
runs++;
cond_resched();
}
if (errors)
pr_warn("prandom: %d/%d self tests failed\n", errors, runs);
else
pr_info("prandom: %d self tests passed\n", runs);
random32: make prandom_u32() output unpredictable Non-cryptographic PRNGs may have great statistical properties, but are usually trivially predictable to someone who knows the algorithm, given a small sample of their output. An LFSR like prandom_u32() is particularly simple, even if the sample is widely scattered bits. It turns out the network stack uses prandom_u32() for some things like random port numbers which it would prefer are *not* trivially predictable. Predictability led to a practical DNS spoofing attack. Oops. This patch replaces the LFSR with a homebrew cryptographic PRNG based on the SipHash round function, which is in turn seeded with 128 bits of strong random key. (The authors of SipHash have *not* been consulted about this abuse of their algorithm.) Speed is prioritized over security; attacks are rare, while performance is always wanted. Replacing all callers of prandom_u32() is the quick fix. Whether to reinstate a weaker PRNG for uses which can tolerate it is an open question. Commit f227e3ec3b5c ("random32: update the net random state on interrupt and activity") was an earlier attempt at a solution. This patch replaces it. Reported-by: Amit Klein <aksecurity@gmail.com> Cc: Willy Tarreau <w@1wt.eu> Cc: Eric Dumazet <edumazet@google.com> Cc: "Jason A. Donenfeld" <Jason@zx2c4.com> Cc: Andy Lutomirski <luto@kernel.org> Cc: Kees Cook <keescook@chromium.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: tytso@mit.edu Cc: Florian Westphal <fw@strlen.de> Cc: Marc Plumb <lkml.mplumb@gmail.com> Fixes: f227e3ec3b5c ("random32: update the net random state on interrupt and activity") Signed-off-by: George Spelvin <lkml@sdf.org> Link: https://lore.kernel.org/netdev/20200808152628.GA27941@SDF.ORG/ [ willy: partial reversal of f227e3ec3b5c; moved SIPROUND definitions to prandom.h for later use; merged George's prandom_seed() proposal; inlined siprand_u32(); replaced the net_rand_state[] array with 4 members to fix a build issue; cosmetic cleanups to make checkpatch happy; fixed RANDOM32_SELFTEST build ] Signed-off-by: Willy Tarreau <w@1wt.eu>
2020-08-09 06:57:44 +00:00
return 0;
}
random32: make prandom_u32() output unpredictable Non-cryptographic PRNGs may have great statistical properties, but are usually trivially predictable to someone who knows the algorithm, given a small sample of their output. An LFSR like prandom_u32() is particularly simple, even if the sample is widely scattered bits. It turns out the network stack uses prandom_u32() for some things like random port numbers which it would prefer are *not* trivially predictable. Predictability led to a practical DNS spoofing attack. Oops. This patch replaces the LFSR with a homebrew cryptographic PRNG based on the SipHash round function, which is in turn seeded with 128 bits of strong random key. (The authors of SipHash have *not* been consulted about this abuse of their algorithm.) Speed is prioritized over security; attacks are rare, while performance is always wanted. Replacing all callers of prandom_u32() is the quick fix. Whether to reinstate a weaker PRNG for uses which can tolerate it is an open question. Commit f227e3ec3b5c ("random32: update the net random state on interrupt and activity") was an earlier attempt at a solution. This patch replaces it. Reported-by: Amit Klein <aksecurity@gmail.com> Cc: Willy Tarreau <w@1wt.eu> Cc: Eric Dumazet <edumazet@google.com> Cc: "Jason A. Donenfeld" <Jason@zx2c4.com> Cc: Andy Lutomirski <luto@kernel.org> Cc: Kees Cook <keescook@chromium.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: tytso@mit.edu Cc: Florian Westphal <fw@strlen.de> Cc: Marc Plumb <lkml.mplumb@gmail.com> Fixes: f227e3ec3b5c ("random32: update the net random state on interrupt and activity") Signed-off-by: George Spelvin <lkml@sdf.org> Link: https://lore.kernel.org/netdev/20200808152628.GA27941@SDF.ORG/ [ willy: partial reversal of f227e3ec3b5c; moved SIPROUND definitions to prandom.h for later use; merged George's prandom_seed() proposal; inlined siprand_u32(); replaced the net_rand_state[] array with 4 members to fix a build issue; cosmetic cleanups to make checkpatch happy; fixed RANDOM32_SELFTEST build ] Signed-off-by: Willy Tarreau <w@1wt.eu>
2020-08-09 06:57:44 +00:00
core_initcall(prandom_state_selftest);
#endif