mirror of
https://github.com/dashpay/dash.git
synced 2024-12-30 14:25:53 +01:00
5167cbe911
1435fabc19d2143187efb493cbe23225eaf851ae Use RdSeed when available, and reduce RdRand load (Pieter Wuille) Pull request description: This introduces support for autodetecting and using the RdSeed instruction on x86/x86_64 systems. In addition: * In SeedFast, only 64 bits of entropy are generated through RdRand (256 was relatively slow). * In SeedStartup, 256 bits of entropy are generated, using RdSeed (preferably) or RdRand (otherwise). Tree-SHA512: fb7d3e22e93e14592f4b07282aa79d7c3cc4e9debdd9978580b8d2562bbad345e289bf3f80de2c50c9b50b8bac2aa9b838f9f272f7f8d43f1efc0913aa8acce3
256 lines
8.5 KiB
C++
256 lines
8.5 KiB
C++
// Copyright (c) 2009-2010 Satoshi Nakamoto
|
|
// Copyright (c) 2009-2014 The Bitcoin Core developers
|
|
// Distributed under the MIT software license, see the accompanying
|
|
// file COPYING or http://www.opensource.org/licenses/mit-license.php.
|
|
|
|
#ifndef BITCOIN_RANDOM_H
|
|
#define BITCOIN_RANDOM_H
|
|
|
|
#include <crypto/chacha20.h>
|
|
#include <crypto/common.h>
|
|
#include <uint256.h>
|
|
|
|
#include <chrono> // For std::chrono::microseconds
|
|
#include <cstdint>
|
|
#include <limits>
|
|
|
|
/**
|
|
* Overall design of the RNG and entropy sources.
|
|
*
|
|
* We maintain a single global 256-bit RNG state for all high-quality randomness.
|
|
* The following (classes of) functions interact with that state by mixing in new
|
|
* entropy, and optionally extracting random output from it:
|
|
*
|
|
* - The GetRand*() class of functions, as well as construction of FastRandomContext objects,
|
|
* perform 'fast' seeding, consisting of mixing in:
|
|
* - A stack pointer (indirectly committing to calling thread and call stack)
|
|
* - A high-precision timestamp (rdtsc when available, c++ high_resolution_clock otherwise)
|
|
* - 64 bits from the hardware RNG (rdrand) when available.
|
|
* These entropy sources are very fast, and only designed to protect against situations
|
|
* where a VM state restore/copy results in multiple systems with the same randomness.
|
|
* FastRandomContext on the other hand does not protect against this once created, but
|
|
* is even faster (and acceptable to use inside tight loops).
|
|
*
|
|
* - The GetStrongRand*() class of function perform 'slow' seeding, including everything
|
|
* that fast seeding includes, but additionally:
|
|
* - OS entropy (/dev/urandom, getrandom(), ...). The application will terminate if
|
|
* this entropy source fails.
|
|
* - Bytes from OpenSSL's RNG (which itself may be seeded from various sources)
|
|
* - Another high-precision timestamp (indirectly committing to a benchmark of all the
|
|
* previous sources).
|
|
* These entropy sources are slower, but designed to make sure the RNG state contains
|
|
* fresh data that is unpredictable to attackers.
|
|
*
|
|
* - RandAddSeedSleep() seeds everything that fast seeding includes, but additionally:
|
|
* - A high-precision timestamp before and after sleeping 1ms.
|
|
* - (On Windows) Once every 10 minutes, performance monitoring data from the OS.
|
|
- - Once every minute, strengthen the entropy for 10 ms using repeated SHA512.
|
|
* These just exploit the fact the system is idle to improve the quality of the RNG
|
|
* slightly.
|
|
*
|
|
* On first use of the RNG (regardless of what function is called first), all entropy
|
|
* sources used in the 'slow' seeder are included, but also:
|
|
* - 256 bits from the hardware RNG (rdseed or rdrand) when available.
|
|
* - (On Windows) Performance monitoring data from the OS.
|
|
* - (On Windows) Through OpenSSL, the screen contents.
|
|
* - Strengthen the entropy for 100 ms using repeated SHA512.
|
|
*
|
|
* When mixing in new entropy, H = SHA512(entropy || old_rng_state) is computed, and
|
|
* (up to) the first 32 bytes of H are produced as output, while the last 32 bytes
|
|
* become the new RNG state.
|
|
*/
|
|
|
|
/**
|
|
* Generate random data via the internal PRNG.
|
|
*
|
|
* These functions are designed to be fast (sub microsecond), but do not necessarily
|
|
* meaningfully add entropy to the PRNG state.
|
|
*
|
|
* Thread-safe.
|
|
*/
|
|
void GetRandBytes(unsigned char* buf, int num) noexcept;
|
|
uint64_t GetRand(uint64_t nMax) noexcept;
|
|
std::chrono::microseconds GetRandMicros(std::chrono::microseconds duration_max) noexcept;
|
|
int GetRandInt(int nMax) noexcept;
|
|
uint256 GetRandHash() noexcept;
|
|
|
|
bool GetRandBool(double rate);
|
|
|
|
/**
|
|
* Gather entropy from various sources, feed it into the internal PRNG, and
|
|
* generate random data using it.
|
|
*
|
|
* This function will cause failure whenever the OS RNG fails.
|
|
*
|
|
* Thread-safe.
|
|
*/
|
|
void GetStrongRandBytes(unsigned char* buf, int num) noexcept;
|
|
|
|
/**
|
|
* Sleep for 1ms, gather entropy from various sources, and feed them to the PRNG state.
|
|
*
|
|
* Thread-safe.
|
|
*/
|
|
void RandAddSeedSleep();
|
|
|
|
/**
|
|
* Fast randomness source. This is seeded once with secure random data, but
|
|
* is completely deterministic and does not gather more entropy after that.
|
|
*
|
|
* This class is not thread-safe.
|
|
*/
|
|
class FastRandomContext {
|
|
private:
|
|
bool requires_seed;
|
|
ChaCha20 rng;
|
|
|
|
unsigned char bytebuf[64];
|
|
int bytebuf_size;
|
|
|
|
uint64_t bitbuf;
|
|
int bitbuf_size;
|
|
|
|
void RandomSeed();
|
|
|
|
void FillByteBuffer()
|
|
{
|
|
if (requires_seed) {
|
|
RandomSeed();
|
|
}
|
|
rng.Keystream(bytebuf, sizeof(bytebuf));
|
|
bytebuf_size = sizeof(bytebuf);
|
|
}
|
|
|
|
void FillBitBuffer()
|
|
{
|
|
bitbuf = rand64();
|
|
bitbuf_size = 64;
|
|
}
|
|
|
|
public:
|
|
explicit FastRandomContext(bool fDeterministic = false) noexcept;
|
|
|
|
/** Initialize with explicit seed (only for testing) */
|
|
explicit FastRandomContext(const uint256& seed) noexcept;
|
|
|
|
// Do not permit copying a FastRandomContext (move it, or create a new one to get reseeded).
|
|
FastRandomContext(const FastRandomContext&) = delete;
|
|
FastRandomContext(FastRandomContext&&) = delete;
|
|
FastRandomContext& operator=(const FastRandomContext&) = delete;
|
|
|
|
/** Move a FastRandomContext. If the original one is used again, it will be reseeded. */
|
|
FastRandomContext& operator=(FastRandomContext&& from) noexcept;
|
|
|
|
/** Generate a random 64-bit integer. */
|
|
uint64_t rand64() noexcept
|
|
{
|
|
if (bytebuf_size < 8) FillByteBuffer();
|
|
uint64_t ret = ReadLE64(bytebuf + 64 - bytebuf_size);
|
|
bytebuf_size -= 8;
|
|
return ret;
|
|
}
|
|
|
|
/** Generate a random (bits)-bit integer. */
|
|
uint64_t randbits(int bits) noexcept {
|
|
if (bits == 0) {
|
|
return 0;
|
|
} else if (bits > 32) {
|
|
return rand64() >> (64 - bits);
|
|
} else {
|
|
if (bitbuf_size < bits) FillBitBuffer();
|
|
uint64_t ret = bitbuf & (~(uint64_t)0 >> (64 - bits));
|
|
bitbuf >>= bits;
|
|
bitbuf_size -= bits;
|
|
return ret;
|
|
}
|
|
}
|
|
|
|
/** Generate a random integer in the range [0..range). */
|
|
uint64_t randrange(uint64_t range) noexcept
|
|
{
|
|
assert(range);
|
|
--range;
|
|
int bits = CountBits(range);
|
|
while (true) {
|
|
uint64_t ret = randbits(bits);
|
|
if (ret <= range) return ret;
|
|
}
|
|
}
|
|
|
|
uint32_t rand32(uint32_t nMax) {
|
|
return rand32() % nMax;
|
|
}
|
|
|
|
uint32_t operator()(uint32_t nMax) {
|
|
return rand32(nMax);
|
|
}
|
|
|
|
/** Generate random bytes. */
|
|
std::vector<unsigned char> randbytes(size_t len);
|
|
|
|
/** Generate a random 32-bit integer. */
|
|
uint32_t rand32() noexcept { return randbits(32); }
|
|
|
|
/** generate a random uint256. */
|
|
uint256 rand256() noexcept;
|
|
|
|
/** Generate a random boolean. */
|
|
bool randbool() noexcept { return randbits(1); }
|
|
|
|
// Compatibility with the C++11 UniformRandomBitGenerator concept
|
|
typedef uint64_t result_type;
|
|
static constexpr uint64_t min() { return 0; }
|
|
static constexpr uint64_t max() { return std::numeric_limits<uint64_t>::max(); }
|
|
inline uint64_t operator()() noexcept { return rand64(); }
|
|
};
|
|
|
|
/** More efficient than using std::shuffle on a FastRandomContext.
|
|
*
|
|
* This is more efficient as std::shuffle will consume entropy in groups of
|
|
* 64 bits at the time and throw away most.
|
|
*
|
|
* This also works around a bug in libstdc++ std::shuffle that may cause
|
|
* type::operator=(type&&) to be invoked on itself, which the library's
|
|
* debug mode detects and panics on. This is a known issue, see
|
|
* https://stackoverflow.com/questions/22915325/avoiding-self-assignment-in-stdshuffle
|
|
*/
|
|
template<typename I, typename R>
|
|
void Shuffle(I first, I last, R&& rng)
|
|
{
|
|
while (first != last) {
|
|
size_t j = rng.randrange(last - first);
|
|
if (j) {
|
|
using std::swap;
|
|
swap(*first, *(first + j));
|
|
}
|
|
++first;
|
|
}
|
|
}
|
|
|
|
/* Number of random bytes returned by GetOSRand.
|
|
* When changing this constant make sure to change all call sites, and make
|
|
* sure that the underlying OS APIs for all platforms support the number.
|
|
* (many cap out at 256 bytes).
|
|
*/
|
|
static const int NUM_OS_RANDOM_BYTES = 32;
|
|
|
|
/** Get 32 bytes of system entropy. Do not use this in application code: use
|
|
* GetStrongRandBytes instead.
|
|
*/
|
|
void GetOSRand(unsigned char *ent32);
|
|
|
|
/** Check that OS randomness is available and returning the requested number
|
|
* of bytes.
|
|
*/
|
|
bool Random_SanityCheck();
|
|
|
|
/**
|
|
* Initialize global RNG state and log any CPU features that are used.
|
|
*
|
|
* Calling this function is optional. RNG state will be initialized when first
|
|
* needed if it is not called.
|
|
*/
|
|
void RandomInit();
|
|
|
|
#endif // BITCOIN_RANDOM_H
|