diff options
author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 17:32:43 +0000 |
---|---|---|
committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 17:32:43 +0000 |
commit | 6bf0a5cb5034a7e684dcc3500e841785237ce2dd (patch) | |
tree | a68f146d7fa01f0134297619fbe7e33db084e0aa /comm/third_party/botan/doc/api_ref/rng.rst | |
parent | Initial commit. (diff) | |
download | thunderbird-6bf0a5cb5034a7e684dcc3500e841785237ce2dd.tar.xz thunderbird-6bf0a5cb5034a7e684dcc3500e841785237ce2dd.zip |
Adding upstream version 1:115.7.0.upstream/1%115.7.0upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'comm/third_party/botan/doc/api_ref/rng.rst')
-rw-r--r-- | comm/third_party/botan/doc/api_ref/rng.rst | 281 |
1 files changed, 281 insertions, 0 deletions
diff --git a/comm/third_party/botan/doc/api_ref/rng.rst b/comm/third_party/botan/doc/api_ref/rng.rst new file mode 100644 index 0000000000..01c27f73cf --- /dev/null +++ b/comm/third_party/botan/doc/api_ref/rng.rst @@ -0,0 +1,281 @@ +.. _random_number_generators: + +Random Number Generators +======================================== + +.. cpp:class:: RandomNumberGenerator + + The base class for all RNG objects, is declared in ``rng.h``. + + .. cpp:function:: void randomize(uint8_t* output_array, size_t length) + + Places *length* random bytes into the provided buffer. + + .. cpp:function:: void randomize_with_input(uint8_t* data, size_t length, \ + const uint8_t* extra_input, size_t extra_input_len) + + Like randomize, but first incorporates the additional input field into the + state of the RNG. The additional input could be anything which + parameterizes this request. Not all RNG types accept additional inputs, + the value will be silently ignored when not supported. + + .. cpp:function:: void randomize_with_ts_input(uint8_t* data, size_t length) + + Creates a buffer with some timestamp values and calls ``randomize_with_input`` + + .. note:: + + When RDRAND is enabled and available at runtime, instead of timestamps + the output of RDRAND is used as the additional data. + + .. cpp:function:: uint8_t next_byte() + + Generates a single random byte and returns it. Note that calling this + function several times is much slower than calling ``randomize`` once to + produce multiple bytes at a time. + + .. cpp:function:: void add_entropy(const uint8_t* data, size_t length) + + Incorporates provided data into the state of the PRNG, if at all possible. + This works for most RNG types, including the system and TPM RNGs. But if + the RNG doesn't support this operation, the data is dropped, no error is + indicated. + + .. cpp:function:: bool accepts_input() const + + This function returns ``false`` if it is known that this RNG object cannot + accept external inputs. In this case, any calls to + :cpp:func:`RandomNumberGenerator::add_entropy` will be ignored. + + .. cpp:function:: void reseed_from_rng(RandomNumberGenerator& rng, \ + size_t poll_bits = BOTAN_RNG_RESEED_POLL_BITS) + + Reseed by calling ``rng`` to acquire ``poll_bits`` data. + + +RNG Types +---------------------------------------- + +Several different RNG types are implemented. Some access hardware RNGs, which +are only available on certain platforms. Others are mostly useful in specific +situations. + +Generally prefer using the system RNG, or if not available use ``AutoSeeded_RNG`` +which is intended to provide best possible behavior in a userspace PRNG. + +System_RNG +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +On systems which support it, in ``system_rng.h`` you can access a shared +reference to a process global instance of the system PRNG (using interfaces such +as ``/dev/urandom``, ``getrandom``, ``arc4random``, or ``RtlGenRandom``): + +.. cpp:function:: RandomNumberGenerator& system_rng() + + Returns a reference to the system RNG + +There is also a wrapper class ``System_RNG`` which simply invokes on +the return value of ``system_rng()``. This is useful in situations where +you may sometimes want to use the system RNG and a userspace RNG in others, +for example:: + + std::unique_ptr<Botan::RandomNumberGenerator> rng; + #if defined(BOTAN_HAS_SYSTEM_RNG) + rng.reset(new System_RNG); + #else + rng.reset(new AutoSeeded_RNG); + #endif + +Unlike nearly any other object in Botan it is acceptable to share a single +instance of ``System_RNG`` between threads, because the underlying RNG is itself +thread safe due to being serialized by a mutex in the kernel itself. + +AutoSeeded_RNG +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +AutoSeeded_RNG is type naming a 'best available' userspace PRNG. The +exact definition of this has changed over time and may change in the +future, fortunately there is no compatibility concerns when changing +any RNG since the only expectation is it produces bits +indistinguishable from random. + +.. note:: Starting in 2.16.0, AutoSeeded_RNG uses an internal lock and so is + safe to share among threads. However if possible it is still better to + use a RNG per thread as otherwise the RNG object needlessly creates a + point of contention. In previous versions, the RNG does not have an + internal lock and all access to it must be serialized. + +The current version uses HMAC_DRBG with either SHA-384 or SHA-256. The +initial seed is generated either by the system PRNG (if available) or +a default set of entropy sources. These are also used for periodic +reseeding of the RNG state. + +HMAC_DRBG +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +HMAC DRBG is a random number generator designed by NIST and specified +in SP 800-90A. It seems to be the most conservative generator of the +NIST approved options. + +It can be instantiated with any HMAC but is typically used with +SHA-256, SHA-384, or SHA-512, as these are the hash functions approved +for this use by NIST. + +HMAC_DRBG's constructors are: + +.. cpp:class:: HMAC_DRBG + + .. cpp:function:: HMAC_DRBG(std::unique_ptr<MessageAuthenticationCode> prf, \ + RandomNumberGenerator& underlying_rng, \ + size_t reseed_interval = BOTAN_RNG_DEFAULT_RESEED_INTERVAL, \ + size_t max_number_of_bytes_per_request = 64 * 1024) + + Creates a DRBG which will automatically reseed as required by making + calls to ``underlying_rng`` either after being invoked + ``reseed_interval`` times, or if use of ``fork`` system call is + detected. + + You can disable automatic reseeding by setting ``reseed_interval`` to + zero, in which case ``underlying_rng`` will only be invoked in the case + of ``fork``. + + The specification of HMAC DRBG requires that each invocation produce no + more than 64 kibibytes of data. However, the RNG interface allows + producing arbitrary amounts of data in a single request. To accommodate + this, ``HMAC_DRBG`` treats requests for more data as if they were + multiple requests each of (at most) the maximum size. You can specify a + smaller maximum size with ``max_number_of_bytes_per_request``. There is + normally no reason to do this. + + .. cpp:function:: HMAC_DRBG(std::unique_ptr<MessageAuthenticationCode> prf, \ + Entropy_Sources& entropy_sources, \ + size_t reseed_interval = BOTAN_RNG_DEFAULT_RESEED_INTERVAL, \ + size_t max_number_of_bytes_per_request = 64 * 1024) + + Like above function, but instead of an RNG taking a set of entropy + sources to seed from as required. + + .. cpp:function:: HMAC_DRBG(std::unique_ptr<MessageAuthenticationCode> prf, \ + RandomNumberGenerator& underlying_rng, \ + Entropy_Sources& entropy_sources, \ + size_t reseed_interval = BOTAN_RNG_DEFAULT_RESEED_INTERVAL, \ + size_t max_number_of_bytes_per_request = 64 * 1024) + + Like above function, but taking both an RNG and a set of entropy + sources to seed from as required. + + .. cpp:function:: HMAC_DRBG(std::unique_ptr<MessageAuthenticationCode> prf) + + Creates an unseeded DRBG. You must explicitly provide seed data later + on in order to use this RNG. This is primarily useful for deterministic + key generation. + + Since no source of data is available to automatically reseed, automatic + reseeding is disabled when this constructor is used. If the RNG object + detects that ``fork`` system call was used without it being + subsequently reseeded, it will throw an exception. + + .. cpp:function:: HMAC_DRBG(const std::string& hmac_hash) + + Like the constructor just taking a PRF, except instead of a PRF object, + a string specifying what hash to use with HMAC is provided. + +ChaCha_RNG +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +This is a very fast userspace PRNG based on ChaCha20 and HMAC(SHA-256). The key +for ChaCha is derived by hashing entropy inputs with HMAC. Then the ChaCha +keystream generator is run, first to generate the new HMAC key (used for any +future entropy additions), then the desired RNG outputs. + +This RNG composes two primitives thought to be secure (ChaCha and HMAC) in a +simple and well studied way (the extract-then-expand paradigm), but is still an +ad-hoc and non-standard construction. It is included because it is roughly 20x +faster then HMAC_DRBG (basically running as fast as ChaCha can generate +keystream bits), and certain applications need access to a very fast RNG. + +One thing applications using ``ChaCha_RNG`` need to be aware of is that for +performance reasons, no backtracking resistance is implemented in the RNG +design. An attacker who recovers the ``ChaCha_RNG`` state can recover the output +backwards in time to the last rekey and forwards to the next rekey. + +An explicit reseeding (:cpp:func:`RandomNumberGenerator::add_entropy`) or +providing any input to the RNG +(:cpp:func:`RandomNumberGenerator::randomize_with_ts_input`, +:cpp:func:`RandomNumberGenerator::randomize_with_input`) is sufficient to cause +a reseeding. Or, if a RNG or entropy source was provided to the ``ChaCha_RNG`` +constructor, then reseeding will be performed automatically after a certain +interval of requests. + +Processor_RNG +^^^^^^^^^^^^^^^^^ + +This RNG type directly invokes a CPU instruction capable of generating +a cryptographically secure random number. On x86 it uses ``rdrand``, +on POWER ``darn``. If the relevant instruction is not available, the +constructor of the class will throw at runtime. You can test +beforehand by checking the result of ``Processor_RNG::available()``. + +TPM_RNG +^^^^^^^^^^^^^^^^^ + +This RNG type allows using the RNG exported from a TPM chip. + +PKCS11_RNG +^^^^^^^^^^^^^^^^^ + +This RNG type allows using the RNG exported from a hardware token accessed via PKCS11. + +Entropy Sources +--------------------------------- + +An ``EntropySource`` is an abstract representation of some method of +gather "real" entropy. This tends to be very system dependent. The +*only* way you should use an ``EntropySource`` is to pass it to a PRNG +that will extract entropy from it -- never use the output directly for +any kind of key or nonce generation! + +``EntropySource`` has a pair of functions for getting entropy from +some external source, called ``fast_poll`` and ``slow_poll``. These +pass a buffer of bytes to be written; the functions then return how +many bytes of entropy were gathered. + +Note for writers of ``EntropySource`` subclasses: it isn't necessary +to use any kind of cryptographic hash on your output. The data +produced by an EntropySource is only used by an application after it +has been hashed by the ``RandomNumberGenerator`` that asked for the +entropy, thus any hashing you do will be wasteful of both CPU cycles +and entropy. + +The following entropy sources are currently used: + + * The system RNG (``arc4random``, ``/dev/urandom``, or ``RtlGenRandom``). + * RDRAND and RDSEED are used if available, but not counted as contributing entropy + * ``/dev/random`` and ``/dev/urandom``. This may be redundant with the system RNG + * ``getentropy``, only used on OpenBSD currently + * ``/proc`` walk: read files in ``/proc``. Last ditch protection against + flawed system RNG. + * Win32 stats: takes snapshot of current system processes. Last ditch + protection against flawed system RNG. + +Fork Safety +--------------------------------- + +On Unix platforms, the ``fork()`` and ``clone()`` system calls can +be used to spawn a new child process. Fork safety ensures that the +child process doesn't see the same output of random bytes as the +parent process. Botan tries to ensure fork safety by feeding the +process ID into the internal state of the random generator and by +automatically reseeding the random generator if the process ID +changed between two requests of random bytes. However, this does +not protect against PID wrap around. The process ID is usually +implemented as a 16 bit integer. In this scenario, a process will +spawn a new child process, which exits the parent process and +spawns a new child process himself. If the PID wrapped around, the +second child process may get assigned the process ID of it's +grandparent and the fork safety can not be ensured. + +Therefore, it is strongly recommended to explicitly reseed any +userspace random generators after forking a new process. If this is +not possible in your application, prefer using the system PRNG +instead. |