rnd(4) - NetBSD Manual Pages

Command: Section: Arch: Collection:  
RND(4)                  NetBSD Kernel Interfaces Manual                 RND(4)

rnd -- random number generator
The /dev/random and /dev/urandom devices generate bytes randomly with uniform distribution. Every read from them is independent. /dev/urandom Never blocks. /dev/random Sometimes blocks. Will block early at boot if the system's state is known to be predictable. Applications should read from /dev/urandom, or the sysctl(7) variable kern.arandom, when they need randomly generated data, e.g. key material for cryptography or seeds for simulations. (The sysctl(7) variable kern.arandom is limited to 256 bytes per read, but is otherwise equiva- lent to reading from /dev/urandom and always works even in a chroot(8) environment without requiring a populated /dev tree and without opening a file descriptor, so kern.arandom may be preferable to use in libraries.) Systems should be engineered to judiciously read at least once from /dev/random at boot before running any services that talk to the internet or otherwise require cryptography, in order to avoid generating keys pre- dictably. /dev/random may block at any time, so programs that read from it must be prepared to handle blocking. Interactive programs that block due to reads from /dev/random can be especially frustrating. If interrupted by a signal, reads from either /dev/random or /dev/urandom may return short, so programs that handle signals must be prepared to retry reads. Writing to either /dev/random or /dev/urandom influences subsequent out- put of both devices, guaranteed to take effect at next open. If you have a coin in your pocket, you can flip it 256 times and feed the outputs to /dev/random to guarantee your system is in a state that nobody but you and the bored security guard watching the surveillance camera in your office can guess: % echo tthhhhhthhhththtthhhhthtththttth... > /dev/random (Sequence generated from a genuine US quarter dollar, guaranteed random.)
The rnd subsystem provides the following security properties against two different classes of attackers, provided that there is enough entropy from entropy sources not seen by attackers: · An attacker who has seen some outputs and can supply some entropy sources' inputs to the operating system cannot predict past or future unseen outputs. · An attacker who has seen the entire state of the machine cannot predict past outputs. One `output' means a single read, no matter how short it is. `Cannot predict' means it is conjectured of the cryptography in /dev/random that any computationally bounded attacker who tries to dis- tinguish outputs from uniform random cannot do more than negligibly bet- ter than uniform random guessing.
The operating system continuously makes observations of hardware devices, such as network packet timings, disk seek delays, and keystrokes. The observations are combined into a seed for a cryptographic pseudorandom number generator (PRNG) which is used to generate the outputs of both /dev/random and /dev/urandom. An attacker may be able to guess with nonnegligible chance of success what your last keystroke was, but guessing every observation the operat- ing system may have made is more difficult. The difficulty of the best strategy at guessing a random variable is analyzed as the -log_2 of the highest probability of any outcome, measured in bits, and called its min-entropy, or entropy for short in cryptography. For example: · A fair coin toss has one bit of entropy. · A fair (six-sided) die roll has a little over 2.5 bits of entropy. · A string of two independent fair coin tosses has two bits of entropy. · The toss of a pair of fair coins that are glued together has one bit of entropy. · A uniform random distribution with n possibilities has log_2 n bits of entropy. · An utterance from an accounting troll who always says `nine' has zero bits of entropy. Note that entropy is a property of an observable physical process, like a coin toss, or of a state of knowledge about that physical process; it is not a property of a specific sample obtained by observing it, like the string `tthhhhht'. There are also kinds of entropy in information theory other than min-entropy, including the more well-known Shannon entropy, but they are not relevant here. Hardware devices that the operating system monitors for observations are called entropy sources, and the observations are combined into an entropy pool. The rndctl(8) command queries information about entropy sources and the entropy pool, and can control which entropy sources the operating system uses or ignores. 256 bits of entropy is typically considered intractable to guess with classical computers and with current models of the capabilities of quan- tum computers. Systems with nonvolatile storage should store a secret from /dev/urandom on disk during installation or shutdown, and feed it back during boot, so that the work the operating system has done to gather entropy -- includ- ing the work its operator may have done to flip a coin! -- can be saved from one boot to the next, and so that newly installed systems are not vulnerable to generating cryptographic keys predictably. The boot loaders in some NetBSD ports support a command to load a seed from disk before the kernel has started. For those that don't, the rndctl(8) command can do it once userland has started, for example by setting ``random_seed=YES'' in /etc/rc.conf, which is enabled by default; see rc.conf(5).
Some people worry about recovery from state compromise -- that is, ensur- ing that even if an attacker sees the entire state of the operating sys- tem, then the attacker will be unable to predict any new future outputs as long as the operating system gathers fresh entropy quickly enough. But if an attacker has seen the entire state of your machine, refreshing entropy is probably the least of your worries, so we do not address that threat model here. The rnd subsystem does not automatically defend against hardware collud- ing with an attacker to influence entropy sources based on the state of the operating system. For example, a PCI device or CPU instruction for random number generation which has no side channel to an attacker other than the /dev/urandom device could be bugged to observe all other entropy sources, and to care- fully craft `observations' that cause a certain number of bits of /dev/urandom output to be ciphertext that either is predictable to an attacker or conveys a message to an attacker. No amount of scrutiny by the system's operator could detect this. The only way to prevent this attack would be for the operator to disable all entropy sources that may be colluding with an attacker. If you're not sure which ones are not, you can always disable all of them and fall back to the coin in your pocket.
The /dev/random and /dev/urandom devices support a number of ioctls, defined in the <sys/rndio.h> header file, for querying and controlling the entropy pool. Since timing between hardware events contributes to the entropy pool, statistics about the entropy pool over time may serve as a side channel for the state of the pool, so access to such statistics is restricted to the super-user and should be used with caution. Several ioctls are concerned with particular entropy sources, described by the following structure: typedef struct { char name[16]; /* symbolic name */ uint32_t total; /* estimate of entropy provided */ uint32_t type; /* RND_TYPE_* value */ uint32_t flags; /* RND_FLAG_* mask */ } rndsource_t; #define RND_TYPE_UNKNOWN #define RND_TYPE_DISK /* disk device */ #define RND_TYPE_ENV /* environment sensor (temp, fan, &c.) */ #define RND_TYPE_NET /* network device */ #define RND_TYPE_POWER /* power events */ #define RND_TYPE_RNG /* hardware RNG */ #define RND_TYPE_SKEW /* clock skew */ #define RND_TYPE_TAPE /* tape drive */ #define RND_TYPE_TTY /* tty device */ #define RND_TYPE_VM /* virtual memory faults */ #define RND_TYPE_MAX /* value of highest-numbered type */ #define RND_FLAG_COLLECT_TIME /* use timings of samples */ #define RND_FLAG_COLLECT_VALUE /* use values of samples */ #define RND_FLAG_ESTIMATE_TIME /* estimate entropy of timings */ #define RND_FLAG_ESTIMATE_VALUE /* estimate entropy of values */ #define RND_FLAG_NO_COLLECT /* ignore samples from this */ #define RND_FLAG_NO_ESTIMATE /* do not estimate entropy */ The following ioctls are supported: RNDGETENTCNT (uint32_t) Return the number of bits of entropy the system is estimated to have. RNDGETSRCNUM (rndstat_t) typedef struct { uint32_t start; uint32_t count; rndsource_t source[RND_MAXSTATCOUNT]; } rndstat_t; Fill the sources array with information about up to count entropy sources, starting at start. The actual number of sources described is returned in count. At most RND_MAXSTATCOUNT sources may be requested at once. RNDGETSRCNAME (rndstat_name_t) typedef struct { char name[16]; rndsource_t source; } rndstat_name_t; Fill source with information about the entropy source named name, or fail with ENOENT if there is none. RNDCTL (rndctl_t) typedef struct { char name[16]; uint32_t type; uint32_t flags; uint32_t mask; } rndctl_t; For each entropy source of the type type, or if type is 0xff then for the entropy source named name, replace the flags in mask by flags. RNDADDDATA (rnddata_t) typedef struct { uint32_t len; uint32_t entropy; unsigned char data[RND_SAVEWORDS * sizeof(uint32_t)]; } rnddata_t; Feed len bytes of data to the entropy pool. The sample is expected to have been drawn with at least entropy bits of entropy. This ioctl can be used only once per boot. It is intended for a system that saves entropy to disk on shutdown and restores it on boot, so that the system can immediately be unpredictable without having to wait to gather entropy. RNDGETPOOLSTAT (rndpoolstat_t) typedef struct { uint32_t poolsize; /* size of each LFSR in pool */ uint32_t threshold; /* no. bytes of pool hash returned */ uint32_t maxentropy; /* total size of pool in bits */ uint32_t added; /* no. bits of entropy ever added */ uint32_t curentropy; /* current entropy `balance' */ uint32_t discarded; /* no. bits dropped when pool full */ uint32_t generated; /* no. bits yielded by pool while curentropy is zero */ } rndpoolstat_t; Return various statistics about entropy.
The following sysctl(8) variables provided by rnd can be set by privi- leged users: kern.entropy.collection (bool) (Default on.) Enables entering data into the entropy pool. If disabled, no new data can be entered into the entropy pool, whether by device drivers, by writes to /dev/random or /dev/urandom, or by the RNDADDDATA ioctl. kern.entropy.depletion (bool) (Default off.) Enables `entropy depletion', meaning that even after attaining full entropy, the kernel subtracts the number of bits read out of the entropy pool from its estimate of the system entropy. This is not justified by modern cryptography -- an adver- sary will never guess the 256-bit secret in a Keccak sponge no mat- ter how much output from the sponge they see -- but may be useful for testing. kern.entropy.consolidate (int) Trigger for entropy consolidation: executing # sysctl -w kern.entropy.consolidate=1 causes the system to consolidate pending entropy from per-CPU pools into the global pool, and waits until done. The following read-only sysctl(8) variables provide information to privi- leged users about the state of the entropy pool: kern.entropy.needed (unsigned int) Number of bits of entropy the system is waiting for in the global pool before reads from /dev/random will return without blocking. When zero, the system is considered to have full entropy. kern.entropy.pending (unsigned int) Number of bits of entropy pending in per-CPU pools. This is the amount of entropy that will be contributed to the global pool at the next consolidation, such as from triggering kern.entropy.consolidate. kern.entropy.epoch (unsigned int) Number of times system has reached full entropy, or entropy has been consolidated with kern.entropy.consolidate, as an unsigned 32-bit integer. Consulted inside the kernel by subsystems such as cprng(9) to decide whether to reseed. Initially set to 2^32 - 1 (i.e., (unsigned)-1) meaning the system has never reached full entropy and the entropy has never been consolidated; never again set to 2^32 - 1. Never zero, so applications can initialize a cache of the epoch to zero to ensure they reseed the next time they check whether it is different from the stored epoch.
(This section describes the current implementation of the rnd subsystem at the time of writing. It may be out-of-date by the time you read it, and nothing in here should be construed as a guarantee about the behav- iour of the /dev/random and /dev/urandom devices.) Device drivers gather samples from entropy sources and absorb them into a collection of per-CPU Keccak sponges called `entropy pools' using the rnd(9) kernel API. The device driver furnishes an estimate for the entropy of the sampling process, under the assumption that each sample is independent. When the estimate of entropy pending among the per-CPU entropy pools reaches a threshold of 256 bits, the entropy is drawn from the per-CPU pools and consolidated into a global pool. Keys for /dev/random, /dev/urandom, kern.arandom, and the in-kernel cprng(9) sub- system are extracted from the global pool. Early after boot, before CPUs have been detected, device drivers instead enter directly into the global pool. If anything in the system extracts data from the pool before the threshold has been reached at least once, the system will print a warning to the console and reset the entropy estimate to zero. The reason for resetting the entropy estimate to zero in this case is that an adversary who can witness output from the pool with partial entropy -- say, 32 bits -- can undergo a feasible brute force search to ascertain the complete state of the pool; as such, the entropy of the adversary's state of knowledge about the pool is zero. If the operator is confident that the drivers' estimates of the entropy of the sampling processes are too conservative, the operator can issue # sysctl -w kern.entropy.consolidate=1 to force consolidation into the global pool. The operator can also fool the system into thinking it has more entropy than it does by feeding data from /dev/urandom into /dev/random, but this voids the security model and should be limited to testing purposes. Short reads from /dev/urandom are served by a persistent per-CPU Hash_DRBG instance that is reseeded from the entropy pool after any entropy consolidation. Reads from /dev/random and long reads from /dev/urandom are served by a temporary Hash_DRBG seeded from the entropy pool on each read. When `entropy depletion' is enabled by setting the sysctl variable kern.entropy.depletion=1, every read from /dev/random is limited to 256 bits, since reading more than that would nearly always block again.
/dev/random Uniform random byte source. May block. /dev/urandom Uniform random byte source. Never blocks.
The rnd subsystem may print the following warnings to the console likely indicating security issues: WARNING: system needs entropy for security; see entropy(7) A process tried to draw from the entropy pool before enough inputs from reliable entropy sources have been entered. The entropy may be low enough that an adversary who sees the output could guess the state of the pool by brute force, so in this event the system resets its estimate of entropy to none. This message is rate-limited to happen no more often than once per minute, so if you want to make sure it is gone you should consult kern.entropy.needed to confirm it is zero. The rnd subsystem may print any of various messages about obtaining an entropy seed from the bootloader to diagnose saving and loading seeds on disk: entropy: entering seed from bootloader with N bits of entropy The bootloader provided an entropy seed to the kernel, which recorded an estimate of N bits of entropy in the process that generated it. entropy: no seed from bootloader The bootloader did not provide an entropy seed to the kernel before starting the kernel. This does not necessarily indicate a problem; not all bootloaders support the option, and the rc.conf(5) setting random_seed=YES can serve instead. entropy: invalid seed length N, expected sizeof(rndsave_t) = M The bootloader provided an entropy seed of the wrong size to the ker- nel. This may indicate a bug in rndctl(8). The seed will be ignored. entropy: invalid seed checksum The entropy seed provided by the bootloader was malformed. The seed will be entered into the entropy pool, but it will be considered to contribute no entropy. entropy: double-seeded by bootloader A buggy bootloader tried to provide an entropy seed more than once to the kernel. Subsequent seeds will be entered into the entropy pool, but they will be con- sidered to contribute no entropy. entropy: best effort The system has gathered enough samples from interrupt timings and other non-confident sources of entropy for the first time to unblock /dev/random, but it may not have full entropy from a seed or hardware random number generator. entropy: ready The system has full entropy for the first time.
arc4random(3), entropy(7), rndctl(8), cprng(9), rnd(9) Elaine Barker and John Kelsey, Recommendation for Random Number Generation Using Deterministic Random Bit Generators, National Institute of Standards and Technology, https://csrc.nist.gov/publications/detail/sp/800-90a/rev-1/final, United States Department of Commerce, June 2015, NIST Special Publication 800-90A, Revision 1. Meltem Sönmez Turan, Elaine Barker, John Kelsey, Kerry A. McKay, Mary L. Baish, and Mike Boyle, Recommendations for the Entropy Sources Used for Random Bit Generation, National Institute of Standards and Technology, https://csrc.nist.gov/publications/detail/sp/800-90b/final, United States Department of Commerce, January 2018, NIST Special Publication 800-90B. Daniel J. Bernstein, Entropy Attacks!, http://blog.cr.yp.to/20140205-entropy.html, 2014-02-05. Nadia Heninger, Zakir Durumeric, Eric Wustrow, and J. Alex Halderman, "Mining Your Ps and Qs: Detection of Widespread Weak Keys in Network Devices", Proceedings of the 21st USENIX Security Symposium, USENIX, https://www.usenix.org/conference/usenixsecurity12/technical- sessions/presentation/heninger https://factorable.net/, 205-220, August 2012. Edwin T. Jaynes, Probability Theory: The Logic of Science, Cambridge University Press, https://bayes.wustl.edu/, 2003.
The /dev/random and /dev/urandom devices first appeared in NetBSD 1.3.
The rnd subsystem was first implemented by Michael Graff <explorer@flame.org>, was then largely rewritten by Thor Lancelot Simon <tls@NetBSD.org>, and was most recently largely rewritten by Taylor R. Campbell <riastradh@NetBSD.org>.
Many people are confused about what /dev/random and /dev/urandom mean. Unfortunately, no amount of software engineering can fix that. NetBSD 10.99 August 7, 2023 NetBSD 10.99
Powered by man-cgi (2024-03-20). Maintained for NetBSD by Kimmo Suominen. Based on man-cgi by Panagiotis Christias.