linux/crypto/jitterentropy-kcapi.c

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/*
* Non-physical true random number generator based on timing jitter --
* Linux Kernel Crypto API specific code
*
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
* Copyright Stephan Mueller <smueller@chronox.de>, 2015 - 2023
*
* 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 General Public License, in which case the provisions of the GPL2 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, ALL OF
* WHICH ARE HEREBY 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 NOT ADVISED OF THE POSSIBILITY OF SUCH
* DAMAGE.
*/
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
#include <crypto/hash.h>
#include <crypto/sha3.h>
crypto: jitter - permanent and intermittent health errors According to SP800-90B, two health failures are allowed: the intermittend and the permanent failure. So far, only the intermittent failure was implemented. The permanent failure was achieved by resetting the entire entropy source including its health test state and waiting for two or more back-to-back health errors. This approach is appropriate for RCT, but not for APT as APT has a non-linear cutoff value. Thus, this patch implements 2 cutoff values for both RCT/APT. This implies that the health state is left untouched when an intermittent failure occurs. The noise source is reset and a new APT powerup-self test is performed. Yet, whith the unchanged health test state, the counting of failures continues until a permanent failure is reached. Any non-failing raw entropy value causes the health tests to reset. The intermittent error has an unchanged significance level of 2^-30. The permanent error has a significance level of 2^-60. Considering that this level also indicates a false-positive rate (see SP800-90B section 4.2) a false-positive must only be incurred with a low probability when considering a fleet of Linux kernels as a whole. Hitting the permanent error may cause a panic(), the following calculation applies: Assuming that a fleet of 10^9 Linux kernels run concurrently with this patch in FIPS mode and on each kernel 2 health tests are performed every minute for one year, the chances of a false positive is about 1:1000 based on the binomial distribution. In addition, any power-up health test errors triggered with jent_entropy_init are treated as permanent errors. A permanent failure causes the entire entropy source to permanently return an error. This implies that a caller can only remedy the situation by re-allocating a new instance of the Jitter RNG. In a subsequent patch, a transparent re-allocation will be provided which also changes the implied heuristic entropy assessment. In addition, when the kernel is booted with fips=1, the Jitter RNG is defined to be part of a FIPS module. The permanent error of the Jitter RNG is translated as a FIPS module error. In this case, the entire FIPS module must cease operation. This is implemented in the kernel by invoking panic(). The patch also fixes an off-by-one in the RCT cutoff value which is now set to 30 instead of 31. This is because the counting of the values starts with 0. Reviewed-by: Vladis Dronov <vdronov@redhat.com> Signed-off-by: Stephan Mueller <smueller@chronox.de> Reviewed-by: Marcelo Henrique Cerri <marcelo.cerri@canonical.com> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-03-27 07:03:52 +00:00
#include <linux/fips.h>
#include <linux/kernel.h>
#include <linux/module.h>
#include <linux/slab.h>
#include <linux/time.h>
#include <crypto/internal/rng.h>
#include "jitterentropy.h"
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
#define JENT_CONDITIONING_HASH "sha3-256-generic"
/***************************************************************************
* Helper function
***************************************************************************/
void *jent_kvzalloc(unsigned int len)
{
return kvzalloc(len, GFP_KERNEL);
}
void jent_kvzfree(void *ptr, unsigned int len)
{
kvfree_sensitive(ptr, len);
}
void *jent_zalloc(unsigned int len)
{
return kzalloc(len, GFP_KERNEL);
}
void jent_zfree(void *ptr)
{
mm, treewide: rename kzfree() to kfree_sensitive() As said by Linus: A symmetric naming is only helpful if it implies symmetries in use. Otherwise it's actively misleading. In "kzalloc()", the z is meaningful and an important part of what the caller wants. In "kzfree()", the z is actively detrimental, because maybe in the future we really _might_ want to use that "memfill(0xdeadbeef)" or something. The "zero" part of the interface isn't even _relevant_. The main reason that kzfree() exists is to clear sensitive information that should not be leaked to other future users of the same memory objects. Rename kzfree() to kfree_sensitive() to follow the example of the recently added kvfree_sensitive() and make the intention of the API more explicit. In addition, memzero_explicit() is used to clear the memory to make sure that it won't get optimized away by the compiler. The renaming is done by using the command sequence: git grep -w --name-only kzfree |\ xargs sed -i 's/kzfree/kfree_sensitive/' followed by some editing of the kfree_sensitive() kerneldoc and adding a kzfree backward compatibility macro in slab.h. [akpm@linux-foundation.org: fs/crypto/inline_crypt.c needs linux/slab.h] [akpm@linux-foundation.org: fix fs/crypto/inline_crypt.c some more] Suggested-by: Joe Perches <joe@perches.com> Signed-off-by: Waiman Long <longman@redhat.com> Signed-off-by: Andrew Morton <akpm@linux-foundation.org> Acked-by: David Howells <dhowells@redhat.com> Acked-by: Michal Hocko <mhocko@suse.com> Acked-by: Johannes Weiner <hannes@cmpxchg.org> Cc: Jarkko Sakkinen <jarkko.sakkinen@linux.intel.com> Cc: James Morris <jmorris@namei.org> Cc: "Serge E. Hallyn" <serge@hallyn.com> Cc: Joe Perches <joe@perches.com> Cc: Matthew Wilcox <willy@infradead.org> Cc: David Rientjes <rientjes@google.com> Cc: Dan Carpenter <dan.carpenter@oracle.com> Cc: "Jason A . Donenfeld" <Jason@zx2c4.com> Link: http://lkml.kernel.org/r/20200616154311.12314-3-longman@redhat.com Signed-off-by: Linus Torvalds <torvalds@linux-foundation.org>
2020-08-07 06:18:13 +00:00
kfree_sensitive(ptr);
}
/*
* Obtain a high-resolution time stamp value. The time stamp is used to measure
* the execution time of a given code path and its variations. Hence, the time
* stamp must have a sufficiently high resolution.
*
* Note, if the function returns zero because a given architecture does not
* implement a high-resolution time stamp, the RNG code's runtime test
* will detect it and will not produce output.
*/
void jent_get_nstime(__u64 *out)
{
__u64 tmp = 0;
tmp = random_get_entropy();
/*
* If random_get_entropy does not return a value, i.e. it is not
* implemented for a given architecture, use a clock source.
* hoping that there are timers we can work with.
*/
if (tmp == 0)
tmp = ktime_get_ns();
*out = tmp;
crypto: jitter - add interface for gathering of raw entropy The test interface allows a privileged process to capture the raw unconditioned noise that is collected by the Jitter RNG for statistical analysis. Such testing allows the analysis how much entropy the Jitter RNG noise source provides on a given platform. The obtained data is the time stamp sampled by the Jitter RNG. Considering that the Jitter RNG inserts the delta of this time stamp compared to the immediately preceding time stamp, the obtained data needs to be post-processed accordingly to obtain the data the Jitter RNG inserts into its entropy pool. The raw entropy collection is provided to obtain the raw unmodified time stamps that are about to be added to the Jitter RNG entropy pool and are credited with entropy. Thus, this patch adds an interface which renders the Jitter RNG insecure. This patch is NOT INTENDED FOR PRODUCTION SYSTEMS, but solely for development/test systems to verify the available entropy rate. Access to the data is given through the jent_raw_hires debugfs file. The data buffer should be multiples of sizeof(u32) to fill the entire buffer. Using the option jitterentropy_testing.boot_raw_hires_test=1 the raw noise of the first 1000 entropy events since boot can be sampled. This test interface allows generating the data required for analysis whether the Jitter RNG is in compliance with SP800-90B sections 3.1.3 and 3.1.4. If the test interface is not compiled, its code is a noop which has no impact on the performance. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:23 +00:00
jent_raw_hires_entropy_store(tmp);
}
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
int jent_hash_time(void *hash_state, __u64 time, u8 *addtl,
unsigned int addtl_len, __u64 hash_loop_cnt,
unsigned int stuck)
{
struct shash_desc *hash_state_desc = (struct shash_desc *)hash_state;
SHASH_DESC_ON_STACK(desc, hash_state_desc->tfm);
u8 intermediary[SHA3_256_DIGEST_SIZE];
__u64 j = 0;
int ret;
desc->tfm = hash_state_desc->tfm;
if (sizeof(intermediary) != crypto_shash_digestsize(desc->tfm)) {
pr_warn_ratelimited("Unexpected digest size\n");
return -EINVAL;
}
/*
* This loop fills a buffer which is injected into the entropy pool.
* The main reason for this loop is to execute something over which we
* can perform a timing measurement. The injection of the resulting
* data into the pool is performed to ensure the result is used and
* the compiler cannot optimize the loop away in case the result is not
* used at all. Yet that data is considered "additional information"
* considering the terminology from SP800-90A without any entropy.
*
* Note, it does not matter which or how much data you inject, we are
* interested in one Keccack1600 compression operation performed with
* the crypto_shash_final.
*/
for (j = 0; j < hash_loop_cnt; j++) {
ret = crypto_shash_init(desc) ?:
crypto_shash_update(desc, intermediary,
sizeof(intermediary)) ?:
crypto_shash_finup(desc, addtl, addtl_len, intermediary);
if (ret)
goto err;
}
/*
* Inject the data from the previous loop into the pool. This data is
* not considered to contain any entropy, but it stirs the pool a bit.
*/
ret = crypto_shash_update(desc, intermediary, sizeof(intermediary));
if (ret)
goto err;
/*
* Insert the time stamp into the hash context representing the pool.
*
* If the time stamp is stuck, do not finally insert the value into the
* entropy pool. Although this operation should not do any harm even
* when the time stamp has no entropy, SP800-90B requires that any
* conditioning operation to have an identical amount of input data
* according to section 3.1.5.
*/
if (!stuck) {
ret = crypto_shash_update(hash_state_desc, (u8 *)&time,
sizeof(__u64));
}
err:
shash_desc_zero(desc);
memzero_explicit(intermediary, sizeof(intermediary));
return ret;
}
int jent_read_random_block(void *hash_state, char *dst, unsigned int dst_len)
{
struct shash_desc *hash_state_desc = (struct shash_desc *)hash_state;
u8 jent_block[SHA3_256_DIGEST_SIZE];
/* Obtain data from entropy pool and re-initialize it */
int ret = crypto_shash_final(hash_state_desc, jent_block) ?:
crypto_shash_init(hash_state_desc) ?:
crypto_shash_update(hash_state_desc, jent_block,
sizeof(jent_block));
if (!ret && dst_len)
memcpy(dst, jent_block, dst_len);
memzero_explicit(jent_block, sizeof(jent_block));
return ret;
}
/***************************************************************************
* Kernel crypto API interface
***************************************************************************/
struct jitterentropy {
spinlock_t jent_lock;
struct rand_data *entropy_collector;
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
struct crypto_shash *tfm;
struct shash_desc *sdesc;
};
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
static void jent_kcapi_cleanup(struct crypto_tfm *tfm)
{
struct jitterentropy *rng = crypto_tfm_ctx(tfm);
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
spin_lock(&rng->jent_lock);
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
if (rng->sdesc) {
shash_desc_zero(rng->sdesc);
kfree(rng->sdesc);
}
rng->sdesc = NULL;
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
if (rng->tfm)
crypto_free_shash(rng->tfm);
rng->tfm = NULL;
if (rng->entropy_collector)
jent_entropy_collector_free(rng->entropy_collector);
rng->entropy_collector = NULL;
spin_unlock(&rng->jent_lock);
}
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
static int jent_kcapi_init(struct crypto_tfm *tfm)
{
struct jitterentropy *rng = crypto_tfm_ctx(tfm);
struct crypto_shash *hash;
struct shash_desc *sdesc;
int size, ret = 0;
spin_lock_init(&rng->jent_lock);
/*
* Use SHA3-256 as conditioner. We allocate only the generic
* implementation as we are not interested in high-performance. The
* execution time of the SHA3 operation is measured and adds to the
* Jitter RNG's unpredictable behavior. If we have a slower hash
* implementation, the execution timing variations are larger. When
* using a fast implementation, we would need to call it more often
* as its variations are lower.
*/
hash = crypto_alloc_shash(JENT_CONDITIONING_HASH, 0, 0);
if (IS_ERR(hash)) {
pr_err("Cannot allocate conditioning digest\n");
return PTR_ERR(hash);
}
rng->tfm = hash;
size = sizeof(struct shash_desc) + crypto_shash_descsize(hash);
sdesc = kmalloc(size, GFP_KERNEL);
if (!sdesc) {
ret = -ENOMEM;
goto err;
}
sdesc->tfm = hash;
crypto_shash_init(sdesc);
rng->sdesc = sdesc;
rng->entropy_collector =
jent_entropy_collector_alloc(CONFIG_CRYPTO_JITTERENTROPY_OSR, 0,
sdesc);
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
if (!rng->entropy_collector) {
ret = -ENOMEM;
goto err;
}
spin_lock_init(&rng->jent_lock);
return 0;
err:
jent_kcapi_cleanup(tfm);
return ret;
}
static int jent_kcapi_random(struct crypto_rng *tfm,
const u8 *src, unsigned int slen,
u8 *rdata, unsigned int dlen)
{
struct jitterentropy *rng = crypto_rng_ctx(tfm);
int ret = 0;
spin_lock(&rng->jent_lock);
ret = jent_read_entropy(rng->entropy_collector, rdata, dlen);
crypto: jitter - permanent and intermittent health errors According to SP800-90B, two health failures are allowed: the intermittend and the permanent failure. So far, only the intermittent failure was implemented. The permanent failure was achieved by resetting the entire entropy source including its health test state and waiting for two or more back-to-back health errors. This approach is appropriate for RCT, but not for APT as APT has a non-linear cutoff value. Thus, this patch implements 2 cutoff values for both RCT/APT. This implies that the health state is left untouched when an intermittent failure occurs. The noise source is reset and a new APT powerup-self test is performed. Yet, whith the unchanged health test state, the counting of failures continues until a permanent failure is reached. Any non-failing raw entropy value causes the health tests to reset. The intermittent error has an unchanged significance level of 2^-30. The permanent error has a significance level of 2^-60. Considering that this level also indicates a false-positive rate (see SP800-90B section 4.2) a false-positive must only be incurred with a low probability when considering a fleet of Linux kernels as a whole. Hitting the permanent error may cause a panic(), the following calculation applies: Assuming that a fleet of 10^9 Linux kernels run concurrently with this patch in FIPS mode and on each kernel 2 health tests are performed every minute for one year, the chances of a false positive is about 1:1000 based on the binomial distribution. In addition, any power-up health test errors triggered with jent_entropy_init are treated as permanent errors. A permanent failure causes the entire entropy source to permanently return an error. This implies that a caller can only remedy the situation by re-allocating a new instance of the Jitter RNG. In a subsequent patch, a transparent re-allocation will be provided which also changes the implied heuristic entropy assessment. In addition, when the kernel is booted with fips=1, the Jitter RNG is defined to be part of a FIPS module. The permanent error of the Jitter RNG is translated as a FIPS module error. In this case, the entire FIPS module must cease operation. This is implemented in the kernel by invoking panic(). The patch also fixes an off-by-one in the RCT cutoff value which is now set to 30 instead of 31. This is because the counting of the values starts with 0. Reviewed-by: Vladis Dronov <vdronov@redhat.com> Signed-off-by: Stephan Mueller <smueller@chronox.de> Reviewed-by: Marcelo Henrique Cerri <marcelo.cerri@canonical.com> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-03-27 07:03:52 +00:00
if (ret == -3) {
/* Handle permanent health test error */
/*
* If the kernel was booted with fips=1, it implies that
* the entire kernel acts as a FIPS 140 module. In this case
* an SP800-90B permanent health test error is treated as
* a FIPS module error.
*/
if (fips_enabled)
panic("Jitter RNG permanent health test failure\n");
pr_err("Jitter RNG permanent health test failure\n");
ret = -EFAULT;
} else if (ret == -2) {
/* Handle intermittent health test error */
pr_warn_ratelimited("Reset Jitter RNG due to intermittent health test failure\n");
ret = -EAGAIN;
crypto: jitter - permanent and intermittent health errors According to SP800-90B, two health failures are allowed: the intermittend and the permanent failure. So far, only the intermittent failure was implemented. The permanent failure was achieved by resetting the entire entropy source including its health test state and waiting for two or more back-to-back health errors. This approach is appropriate for RCT, but not for APT as APT has a non-linear cutoff value. Thus, this patch implements 2 cutoff values for both RCT/APT. This implies that the health state is left untouched when an intermittent failure occurs. The noise source is reset and a new APT powerup-self test is performed. Yet, whith the unchanged health test state, the counting of failures continues until a permanent failure is reached. Any non-failing raw entropy value causes the health tests to reset. The intermittent error has an unchanged significance level of 2^-30. The permanent error has a significance level of 2^-60. Considering that this level also indicates a false-positive rate (see SP800-90B section 4.2) a false-positive must only be incurred with a low probability when considering a fleet of Linux kernels as a whole. Hitting the permanent error may cause a panic(), the following calculation applies: Assuming that a fleet of 10^9 Linux kernels run concurrently with this patch in FIPS mode and on each kernel 2 health tests are performed every minute for one year, the chances of a false positive is about 1:1000 based on the binomial distribution. In addition, any power-up health test errors triggered with jent_entropy_init are treated as permanent errors. A permanent failure causes the entire entropy source to permanently return an error. This implies that a caller can only remedy the situation by re-allocating a new instance of the Jitter RNG. In a subsequent patch, a transparent re-allocation will be provided which also changes the implied heuristic entropy assessment. In addition, when the kernel is booted with fips=1, the Jitter RNG is defined to be part of a FIPS module. The permanent error of the Jitter RNG is translated as a FIPS module error. In this case, the entire FIPS module must cease operation. This is implemented in the kernel by invoking panic(). The patch also fixes an off-by-one in the RCT cutoff value which is now set to 30 instead of 31. This is because the counting of the values starts with 0. Reviewed-by: Vladis Dronov <vdronov@redhat.com> Signed-off-by: Stephan Mueller <smueller@chronox.de> Reviewed-by: Marcelo Henrique Cerri <marcelo.cerri@canonical.com> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-03-27 07:03:52 +00:00
} else if (ret == -1) {
/* Handle other errors */
ret = -EINVAL;
}
spin_unlock(&rng->jent_lock);
return ret;
}
static int jent_kcapi_reset(struct crypto_rng *tfm,
const u8 *seed, unsigned int slen)
{
return 0;
}
static struct rng_alg jent_alg = {
.generate = jent_kcapi_random,
.seed = jent_kcapi_reset,
.seedsize = 0,
.base = {
.cra_name = "jitterentropy_rng",
.cra_driver_name = "jitterentropy_rng",
.cra_priority = 100,
.cra_ctxsize = sizeof(struct jitterentropy),
.cra_module = THIS_MODULE,
.cra_init = jent_kcapi_init,
.cra_exit = jent_kcapi_cleanup,
}
};
static int __init jent_mod_init(void)
{
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
SHASH_DESC_ON_STACK(desc, tfm);
struct crypto_shash *tfm;
int ret = 0;
crypto: jitter - add interface for gathering of raw entropy The test interface allows a privileged process to capture the raw unconditioned noise that is collected by the Jitter RNG for statistical analysis. Such testing allows the analysis how much entropy the Jitter RNG noise source provides on a given platform. The obtained data is the time stamp sampled by the Jitter RNG. Considering that the Jitter RNG inserts the delta of this time stamp compared to the immediately preceding time stamp, the obtained data needs to be post-processed accordingly to obtain the data the Jitter RNG inserts into its entropy pool. The raw entropy collection is provided to obtain the raw unmodified time stamps that are about to be added to the Jitter RNG entropy pool and are credited with entropy. Thus, this patch adds an interface which renders the Jitter RNG insecure. This patch is NOT INTENDED FOR PRODUCTION SYSTEMS, but solely for development/test systems to verify the available entropy rate. Access to the data is given through the jent_raw_hires debugfs file. The data buffer should be multiples of sizeof(u32) to fill the entire buffer. Using the option jitterentropy_testing.boot_raw_hires_test=1 the raw noise of the first 1000 entropy events since boot can be sampled. This test interface allows generating the data required for analysis whether the Jitter RNG is in compliance with SP800-90B sections 3.1.3 and 3.1.4. If the test interface is not compiled, its code is a noop which has no impact on the performance. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:23 +00:00
jent_testing_init();
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
tfm = crypto_alloc_shash(JENT_CONDITIONING_HASH, 0, 0);
crypto: jitter - add interface for gathering of raw entropy The test interface allows a privileged process to capture the raw unconditioned noise that is collected by the Jitter RNG for statistical analysis. Such testing allows the analysis how much entropy the Jitter RNG noise source provides on a given platform. The obtained data is the time stamp sampled by the Jitter RNG. Considering that the Jitter RNG inserts the delta of this time stamp compared to the immediately preceding time stamp, the obtained data needs to be post-processed accordingly to obtain the data the Jitter RNG inserts into its entropy pool. The raw entropy collection is provided to obtain the raw unmodified time stamps that are about to be added to the Jitter RNG entropy pool and are credited with entropy. Thus, this patch adds an interface which renders the Jitter RNG insecure. This patch is NOT INTENDED FOR PRODUCTION SYSTEMS, but solely for development/test systems to verify the available entropy rate. Access to the data is given through the jent_raw_hires debugfs file. The data buffer should be multiples of sizeof(u32) to fill the entire buffer. Using the option jitterentropy_testing.boot_raw_hires_test=1 the raw noise of the first 1000 entropy events since boot can be sampled. This test interface allows generating the data required for analysis whether the Jitter RNG is in compliance with SP800-90B sections 3.1.3 and 3.1.4. If the test interface is not compiled, its code is a noop which has no impact on the performance. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:23 +00:00
if (IS_ERR(tfm)) {
jent_testing_exit();
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
return PTR_ERR(tfm);
crypto: jitter - add interface for gathering of raw entropy The test interface allows a privileged process to capture the raw unconditioned noise that is collected by the Jitter RNG for statistical analysis. Such testing allows the analysis how much entropy the Jitter RNG noise source provides on a given platform. The obtained data is the time stamp sampled by the Jitter RNG. Considering that the Jitter RNG inserts the delta of this time stamp compared to the immediately preceding time stamp, the obtained data needs to be post-processed accordingly to obtain the data the Jitter RNG inserts into its entropy pool. The raw entropy collection is provided to obtain the raw unmodified time stamps that are about to be added to the Jitter RNG entropy pool and are credited with entropy. Thus, this patch adds an interface which renders the Jitter RNG insecure. This patch is NOT INTENDED FOR PRODUCTION SYSTEMS, but solely for development/test systems to verify the available entropy rate. Access to the data is given through the jent_raw_hires debugfs file. The data buffer should be multiples of sizeof(u32) to fill the entire buffer. Using the option jitterentropy_testing.boot_raw_hires_test=1 the raw noise of the first 1000 entropy events since boot can be sampled. This test interface allows generating the data required for analysis whether the Jitter RNG is in compliance with SP800-90B sections 3.1.3 and 3.1.4. If the test interface is not compiled, its code is a noop which has no impact on the performance. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:23 +00:00
}
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
desc->tfm = tfm;
crypto_shash_init(desc);
ret = jent_entropy_init(CONFIG_CRYPTO_JITTERENTROPY_OSR, 0, desc, NULL);
crypto: jitter - replace LFSR with SHA3-256 Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:04 +00:00
shash_desc_zero(desc);
crypto_free_shash(tfm);
if (ret) {
crypto: jitter - permanent and intermittent health errors According to SP800-90B, two health failures are allowed: the intermittend and the permanent failure. So far, only the intermittent failure was implemented. The permanent failure was achieved by resetting the entire entropy source including its health test state and waiting for two or more back-to-back health errors. This approach is appropriate for RCT, but not for APT as APT has a non-linear cutoff value. Thus, this patch implements 2 cutoff values for both RCT/APT. This implies that the health state is left untouched when an intermittent failure occurs. The noise source is reset and a new APT powerup-self test is performed. Yet, whith the unchanged health test state, the counting of failures continues until a permanent failure is reached. Any non-failing raw entropy value causes the health tests to reset. The intermittent error has an unchanged significance level of 2^-30. The permanent error has a significance level of 2^-60. Considering that this level also indicates a false-positive rate (see SP800-90B section 4.2) a false-positive must only be incurred with a low probability when considering a fleet of Linux kernels as a whole. Hitting the permanent error may cause a panic(), the following calculation applies: Assuming that a fleet of 10^9 Linux kernels run concurrently with this patch in FIPS mode and on each kernel 2 health tests are performed every minute for one year, the chances of a false positive is about 1:1000 based on the binomial distribution. In addition, any power-up health test errors triggered with jent_entropy_init are treated as permanent errors. A permanent failure causes the entire entropy source to permanently return an error. This implies that a caller can only remedy the situation by re-allocating a new instance of the Jitter RNG. In a subsequent patch, a transparent re-allocation will be provided which also changes the implied heuristic entropy assessment. In addition, when the kernel is booted with fips=1, the Jitter RNG is defined to be part of a FIPS module. The permanent error of the Jitter RNG is translated as a FIPS module error. In this case, the entire FIPS module must cease operation. This is implemented in the kernel by invoking panic(). The patch also fixes an off-by-one in the RCT cutoff value which is now set to 30 instead of 31. This is because the counting of the values starts with 0. Reviewed-by: Vladis Dronov <vdronov@redhat.com> Signed-off-by: Stephan Mueller <smueller@chronox.de> Reviewed-by: Marcelo Henrique Cerri <marcelo.cerri@canonical.com> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-03-27 07:03:52 +00:00
/* Handle permanent health test error */
if (fips_enabled)
panic("jitterentropy: Initialization failed with host not compliant with requirements: %d\n", ret);
crypto: jitter - add interface for gathering of raw entropy The test interface allows a privileged process to capture the raw unconditioned noise that is collected by the Jitter RNG for statistical analysis. Such testing allows the analysis how much entropy the Jitter RNG noise source provides on a given platform. The obtained data is the time stamp sampled by the Jitter RNG. Considering that the Jitter RNG inserts the delta of this time stamp compared to the immediately preceding time stamp, the obtained data needs to be post-processed accordingly to obtain the data the Jitter RNG inserts into its entropy pool. The raw entropy collection is provided to obtain the raw unmodified time stamps that are about to be added to the Jitter RNG entropy pool and are credited with entropy. Thus, this patch adds an interface which renders the Jitter RNG insecure. This patch is NOT INTENDED FOR PRODUCTION SYSTEMS, but solely for development/test systems to verify the available entropy rate. Access to the data is given through the jent_raw_hires debugfs file. The data buffer should be multiples of sizeof(u32) to fill the entire buffer. Using the option jitterentropy_testing.boot_raw_hires_test=1 the raw noise of the first 1000 entropy events since boot can be sampled. This test interface allows generating the data required for analysis whether the Jitter RNG is in compliance with SP800-90B sections 3.1.3 and 3.1.4. If the test interface is not compiled, its code is a noop which has no impact on the performance. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:23 +00:00
jent_testing_exit();
pr_info("jitterentropy: Initialization failed with host not compliant with requirements: %d\n", ret);
return -EFAULT;
}
return crypto_register_rng(&jent_alg);
}
static void __exit jent_mod_exit(void)
{
crypto: jitter - add interface for gathering of raw entropy The test interface allows a privileged process to capture the raw unconditioned noise that is collected by the Jitter RNG for statistical analysis. Such testing allows the analysis how much entropy the Jitter RNG noise source provides on a given platform. The obtained data is the time stamp sampled by the Jitter RNG. Considering that the Jitter RNG inserts the delta of this time stamp compared to the immediately preceding time stamp, the obtained data needs to be post-processed accordingly to obtain the data the Jitter RNG inserts into its entropy pool. The raw entropy collection is provided to obtain the raw unmodified time stamps that are about to be added to the Jitter RNG entropy pool and are credited with entropy. Thus, this patch adds an interface which renders the Jitter RNG insecure. This patch is NOT INTENDED FOR PRODUCTION SYSTEMS, but solely for development/test systems to verify the available entropy rate. Access to the data is given through the jent_raw_hires debugfs file. The data buffer should be multiples of sizeof(u32) to fill the entire buffer. Using the option jitterentropy_testing.boot_raw_hires_test=1 the raw noise of the first 1000 entropy events since boot can be sampled. This test interface allows generating the data required for analysis whether the Jitter RNG is in compliance with SP800-90B sections 3.1.3 and 3.1.4. If the test interface is not compiled, its code is a noop which has no impact on the performance. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
2023-04-21 06:08:23 +00:00
jent_testing_exit();
crypto_unregister_rng(&jent_alg);
}
module_init(jent_mod_init);
module_exit(jent_mod_exit);
MODULE_LICENSE("Dual BSD/GPL");
MODULE_AUTHOR("Stephan Mueller <smueller@chronox.de>");
MODULE_DESCRIPTION("Non-physical True Random Number Generator based on CPU Jitter");
MODULE_ALIAS_CRYPTO("jitterentropy_rng");