Problems emerge for a unified /dev/*random(lwn.net)
lwn.net
Problems emerge for a unified /dev/*random
https://lwn.net/SubscriberLink/889452/953e190af78809a7/
204 comments
These random/urandom blocking/nonblocking discussions have been going on for at least a decade at this point, maybe even longer. I get that RNG algorithms are hard. What’s surprising to me is that it seems so hard to even figure out the desired interface of such a basic thing in the kernel. Security in entropy-starved environments seems to be very hard to square with backwards compatibility.
It's not hard by itself. These interfaces are actually pretty straightforward to design and implement; Linux made things hard for itself by designing a weirdly complicated interface with an entropy credit system, an idea that's more or less discredited now.
What's hard is accurately surveying the last 15 years of systems built on top of Linux's needlessly-complicated LRNG and making changes that don't violate the expectations of those systems. Nobody should be running "jitter entropy daemons" in userland (userland RNGs are essentially the source of all practical CSPRNG vulnerabilities in the past 2 decades), but people do, and if those systems exceeded some threshold of security before Donenfeld's patches, you can't merge those patches if they push security below that threshold.
It's a really irritating problem.
What's hard is accurately surveying the last 15 years of systems built on top of Linux's needlessly-complicated LRNG and making changes that don't violate the expectations of those systems. Nobody should be running "jitter entropy daemons" in userland (userland RNGs are essentially the source of all practical CSPRNG vulnerabilities in the past 2 decades), but people do, and if those systems exceeded some threshold of security before Donenfeld's patches, you can't merge those patches if they push security below that threshold.
It's a really irritating problem.
> userland RNGs are essentially the source of all practical CSPRNG vulnerabilities in the past 2 decades
Is your point that CSPRNGs should not be implemented in userland, but instead should just read from /dev/random or do the equivalent on non-linux opperating systems?
Is your point that CSPRNGs should not be implemented in userland, but instead should just read from /dev/random or do the equivalent on non-linux opperating systems?
Yes, that’s been Thomas’s position for many years[1]. And I mostly agree with him on that.
[1]: https://sockpuppet.org/blog/2014/02/25/safely-generate-rando...
[1]: https://sockpuppet.org/blog/2014/02/25/safely-generate-rando...
> What's hard is accurately surveying the last 15 years of systems built on top of Linux's needlessly-complicated LRNG and making changes that don't violate the expectations of those systems.
Sounds like they need a compatibility or feature (cmdline) flag.
Add the flag and you can use the new improved system. Establish dates for when the old method will not be the default anymore (but can be used with the flag) and when it will be deprecated for good
Sounds like they need a compatibility or feature (cmdline) flag.
Add the flag and you can use the new improved system. Establish dates for when the old method will not be the default anymore (but can be used with the flag) and when it will be deprecated for good
That won‘t align with the never break the user mantra. And honestly I hate these timebomb solutions some API vendors put up. In a never breaking system you can‘t remove anything only add things or change stuff internally to make it work like before. They never said to get rid of /dev/random or /dev/urandom just that both would practically be the same. From reading about the problem and the different usecases and expectations it looks like it will stay like this for another decade or more.
> Nobody should be running "jitter entropy daemons" in userland (userland RNGs are essentially the source of all practical CSPRNG vulnerabilities in the past 2 decades), but people do, and if those systems exceeded some threshold of security before Donenfeld's patches, you can't merge those patches if they push security below that threshold.
Why not break their code? Seems justified in this case.
Why not break their code? Seems justified in this case.
For better or worse Linux doesn't break userland.
Also,the problems seems mostly to be around Linux running in a VM rather than on actual hardware. Would it be possible to have the host urandom show up as a hw random number generator to the VM and then use that for initiating things? Seems less hacky than having to fiddle with seeds. Dunno how possible that is though.
You can do that where for instance the VM has PCI and can plug in a virtio RNG device. But a lot of the QEMU setups Guenter Roeck reported issues with are emulating real (usually old) hardware which didn't have a PCI bus, or any other hardware RNG interface.
Also lighter systems such as routers (E.G. many OpenWRT targets)
Yes, and that is commonly used.
But Linux must continue to work even on VMs without that, and that is the hard part.
But Linux must continue to work even on VMs without that, and that is the hard part.
The VMs described in the article are (faithfully) emulating real hardware lacking unpredictable timers or other sources of entropy. It’s not exclusively a VM problem; it’s a weird/old hardware problem, too.
I ran into it the first time in 2005 and it was a widely known issue, easy to find if you could find where your program was pseudo-randomly blocking (pun intended). FreeBSD already had unified random/urandom by that point.
I’m not sure if the Linux folks find something wrong with existing, time tested approaches or if there’s some NIH going on, but it doesn’t seem like a multi-decade problem.
I’m not sure if the Linux folks find something wrong with existing, time tested approaches or if there’s some NIH going on, but it doesn’t seem like a multi-decade problem.
Pedantic question: would it be pseudo-randomly blocking or randomly blocking?
It would be somewhat deterministic and predictable and therefore pseudo-random.
I don't think it's hard to figure out the desired interface. As you said, the hard part is changing the interface to what's desired decades later.
You'd be amazed at how much stupidity lingers about this issue. I don't know if the present-day kernel devs are affected by it, but an awful lot of users are.
Why is random so hard? If we assume best intentions then:
uint64_t lemur64(void) {
static uint128_t s =
(uint128_t)426679527491843471ull << 64 | 2131259787901769494ull;
return (s *= 15750249268501108917ull) >> 64;
}
Yeah, but it always returns the same pseudo random sequence of numbers. THAT'S part of what they're trying to fix by including entropy.
what if you add timestamp?
Here's a fun article about hacking online poker, in part by taking advantage of a time-based seed:
https://www.developer.com/guides/how-we-learned-to-cheat-at-...
"The system clock seed gave us an idea that reduced the number of possible shuffles even further. By synchronizing our program with the system clock on the server generating the pseudo-random number, we are able to reduce the number of possible combinations down to a number on the order of 200,000 possibilities. After that move, the system is ours, since searching through this tiny set of shuffles is trivial and can be done on a PC in real time."
https://www.developer.com/guides/how-we-learned-to-cheat-at-...
"The system clock seed gave us an idea that reduced the number of possible shuffles even further. By synchronizing our program with the system clock on the server generating the pseudo-random number, we are able to reduce the number of possible combinations down to a number on the order of 200,000 possibilities. After that move, the system is ours, since searching through this tiny set of shuffles is trivial and can be done on a PC in real time."
Then if I know about when you turned your computer on, I can guess every random number you'll ever generate.
If they used a timestamp then all you really need is a couple random numbers to find the seed. Just keep guessing timestamps until you find a sequence that matches.
Not all computers have a RTC.
The presence or absence of a real-time clock doesn't significantly change the problem here.
Yep, that is a good idea! But a timestamp only adds a little bit of entropy, and you want a few hundred if not a few thousand bits.
From what source? That’s the hard part.
Think of it in terms of VM snapshots. If you boot from a snapshot, there’s no way to get any timestamp guaranteed to be secure.
But “secure” in this context is misleading. I subscribe to the “just use urandom” school of thought. It’s sufficiently secure in practice that no real security threats have emerged (can anyone point to a CVE?) and it seems like a waste of time to focus on this rather than the hundreds of other cases that cause dozens of CVEs.
Think of it in terms of VM snapshots. If you boot from a snapshot, there’s no way to get any timestamp guaranteed to be secure.
But “secure” in this context is misleading. I subscribe to the “just use urandom” school of thought. It’s sufficiently secure in practice that no real security threats have emerged (can anyone point to a CVE?) and it seems like a waste of time to focus on this rather than the hundreds of other cases that cause dozens of CVEs.
Insufficient entropy is the root cause of this:
https://factorable.net/weakkeys12.extended.pdf
which is still happening:
https://www.quintessencelabs.com/wp-content/uploads/2020/03/...
https://factorable.net/weakkeys12.extended.pdf
which is still happening:
https://www.quintessencelabs.com/wp-content/uploads/2020/03/...
The source shouldn't be an issue even if the timestamp is reused. Timestamps just don't add a ton of entropy - a timestamp is generally 64bits, so even if it were actually random you could only ever get 64bits of entropy. And it's obviously way way way less than that since the clock is probably somewhat accurate, the computer is probably less than ~10 years old, and it's probably not way in the future.
So it should be fine to add in, but I don't know how many bits you'd want to count that as.
So it should be fine to add in, but I don't know how many bits you'd want to count that as.
That would also make it predictable. Essentially, if you get a sequence of random numbers, it should be quite hard to predict what the next one would be.
What it will also do is to allow anyone to predict your pseudo random numbers with high accuracy. (which is bad, as the use case here is for security)
[deleted]
What kind of wizardry is this doing?! :)
It's one of the simplest ways to make random numbers. Multiply state by a constant, return the upper bits/digits of state.
There's some math that goes into picking a good constant, but honestly that's optional. Usually you'd also add a constant each round but this is going for absolute simplicity.
And the line with 'static' is just an awkward way of initializing the state integer.
There's some math that goes into picking a good constant, but honestly that's optional. Usually you'd also add a constant each round but this is going for absolute simplicity.
And the line with 'static' is just an awkward way of initializing the state integer.
> There's some math that goes into picking a good constant, but honestly that's optional.
It isn’t optional. For example, if your constant is even, every iteration adds another zero to the end of your state, and after (in this case) 127 iterations, you’ll start returning zeroes forever.
Also, if your multiplier is smallish, the lower order ones of the current value can be used to (somewhat) predict the higher order ones of the next value.
It isn’t optional. For example, if your constant is even, every iteration adds another zero to the end of your state, and after (in this case) 127 iterations, you’ll start returning zeroes forever.
Also, if your multiplier is smallish, the lower order ones of the current value can be used to (somewhat) predict the higher order ones of the next value.
Yes it has to be odd and it has to be the size asked for. I don't count checking that as math.
If you're particularly worried about the top couple digits of the number being undersized you could return fewer bits or use a wider multiplier.
If you're particularly worried about the top couple digits of the number being undersized you could return fewer bits or use a wider multiplier.
Those numbers are not random.
It’s a multiplicative congruential generator (MCG), a subset of linear congruential generators (LCG). Basically a multipy (and for LCG, an add) between each generated number. Very fast, small state requirements.
Wholly unsuitable for cryptographic random numbers.
Wholly unsuitable for cryptographic random numbers.
Seems that's one of these: https://en.wikipedia.org/wiki/Lehmer_random_number_generator
"Nobody knows what entropy really is, so in a debate you will always have the advantage."
~ Claude Shannon
I've become more and more uncomfortable with the word "entropy" as used in cryptography. The word "random" has always been problematic. I try to use "unpredictable" instead, because I have half a clue what that word means.
I think "entropy" is used to mean "unpredictable in principle", which would exclude chaotic processes like CPU jitter. Chaotic processes like the weather are predictable in principle; but they are so complex that in practice they are unpredictable. Quantum processes such as radioactive decay or tunneling seem to be unpredictable in principle. If it's unpredictable, then to my mind it's sufficiently unpredictable for cryptography.
The Intel HWRNG depends on chaos - the jitter in gate propagation times. I'd settle for that, if it weren't for the fact that the raw chaos from the process isn't available for inspection - you can only see the result of obfuscating it using AES. How much bias is there in the raw bitstream from the unencrypted HWRNG output? I have no way of finding out.
Entropy accounting in the Linux RNG seems to be somewhere between heuristics and guesswork. It seems to be awfully complicated, given that it comes down to finger-in-the-air estimates.
/me not a cryptographer, mathematician or physicist.
~ Claude Shannon
I've become more and more uncomfortable with the word "entropy" as used in cryptography. The word "random" has always been problematic. I try to use "unpredictable" instead, because I have half a clue what that word means.
I think "entropy" is used to mean "unpredictable in principle", which would exclude chaotic processes like CPU jitter. Chaotic processes like the weather are predictable in principle; but they are so complex that in practice they are unpredictable. Quantum processes such as radioactive decay or tunneling seem to be unpredictable in principle. If it's unpredictable, then to my mind it's sufficiently unpredictable for cryptography.
The Intel HWRNG depends on chaos - the jitter in gate propagation times. I'd settle for that, if it weren't for the fact that the raw chaos from the process isn't available for inspection - you can only see the result of obfuscating it using AES. How much bias is there in the raw bitstream from the unencrypted HWRNG output? I have no way of finding out.
Entropy accounting in the Linux RNG seems to be somewhere between heuristics and guesswork. It seems to be awfully complicated, given that it comes down to finger-in-the-air estimates.
/me not a cryptographer, mathematician or physicist.
You need to get access to the raw entropy stream in order to characterize it and test it under a number of different situations. At Cryptography Research, we did a number of reviews of hardware entropy sources.
You have to look into behavior during very early startup (power on reset), suspend/resume from low power states, under high heat and thermal shutdown, as well as stable operation. You look at different samples of chips to look for production variation. You build software models that try to simulate the underlying hardware behavior to see how close they get to predicting outputs (which is a bad thing if it works too well!)
You then review how the system processes this entropy since ideas that look good to hardware engineers (like a string filter) are actually really bad for entropy. You analyze the path for side channels or race conditions that could leak raw entropy across process boundaries.
Anyway, here are the reports:
https://www.rambus.com/wp-content/uploads/2015/08/IntelRNG.p... (1999)
https://www.rambus.com/wp-content/uploads/2015/08/VIA_rng.pd... (2003)
https://web.archive.org/web/20141230024150/http://www.crypto... (2012)
You have to look into behavior during very early startup (power on reset), suspend/resume from low power states, under high heat and thermal shutdown, as well as stable operation. You look at different samples of chips to look for production variation. You build software models that try to simulate the underlying hardware behavior to see how close they get to predicting outputs (which is a bad thing if it works too well!)
You then review how the system processes this entropy since ideas that look good to hardware engineers (like a string filter) are actually really bad for entropy. You analyze the path for side channels or race conditions that could leak raw entropy across process boundaries.
Anyway, here are the reports:
https://www.rambus.com/wp-content/uploads/2015/08/IntelRNG.p... (1999)
https://www.rambus.com/wp-content/uploads/2015/08/VIA_rng.pd... (2003)
https://web.archive.org/web/20141230024150/http://www.crypto... (2012)
> ~ Claude Shannon
I misattributed that quote. It's from a conversation between Shannon and Von Neumann; Shannon attributed the quote to Von Neumann.
Sorry.
I misattributed that quote. It's from a conversation between Shannon and Von Neumann; Shannon attributed the quote to Von Neumann.
I thought of calling it "information", but the word was overly used, so I decided to call it "uncertainty". [...] Von Neumann told me, "You should call it entropy, for two reasons. In the first place your uncertainty function has been used in statistical mechanics under that name, so it already has a name. In the second place, and more important, nobody knows what entropy really is, so in a debate you will always have the advantage."
Sorry.
> I think "entropy" is used to mean "unpredictable in principle", which would exclude chaotic processes like CPU jitter. Chaotic processes like the weather are predictable in principle; but they are so complex that in practice they are unpredictable.
Chaotic systems are practically unpredictable because they have an exponential dependence on their initial conditions. It has nothing to do with complexity -- a double pendulum is a very simple system and is still chaotic.
In other words, as you evolve t, you need more and more bits of precision in the state variables of the initial condition in order to continue predicting the future state correctly. As soon as you start drifting away from the real state the gap between your prediction and reality exponentially increases.
As there is a physical limit to what accuracy you can measure things, at some point is becomes physically impossible to continue accurately predicting the future state.
Chaotic systems are practically unpredictable because they have an exponential dependence on their initial conditions. It has nothing to do with complexity -- a double pendulum is a very simple system and is still chaotic.
In other words, as you evolve t, you need more and more bits of precision in the state variables of the initial condition in order to continue predicting the future state correctly. As soon as you start drifting away from the real state the gap between your prediction and reality exponentially increases.
As there is a physical limit to what accuracy you can measure things, at some point is becomes physically impossible to continue accurately predicting the future state.
> I've become more and more uncomfortable with the word "entropy" as used in cryptography.
I don't like the word either. On the other hand, the meaning in the kernel seems clear: with a threat model of the attacker, it's the amount of bits that could be generated from internal state that are believed to be random, i.e. not predictable by the attacker.
> The word "random" has always been problematic. I try to use "unpredictable" instead, because I have half a clue what that word means.
Yes, "random" has many meanings. Sometimes it means simply that variable has non-repeating values with few desired statistical properties. This is not enough in cryptography, where we care about the attacker, so random there is much more demanding.
If a bit stream is looking unpredictable, but is known to be actually produced purely algorithmically, it is then not called random, but pseudo-random, because in principle, with enough knowledge of internal state, it can be predicted.
> I think "entropy" is used to mean "unpredictable in principle", which would exclude chaotic processes like CPU jitter.
"In principle" is too strong and vague. We don't have a way to test and verify a source is unpredictable in principle. We can only pronounce it based on current state of knowledge. In practice, the criterion is always "unpredictable in practice". A number source like CPU jitter may be declared unpredictable in practice. It is a decision of the implementor.
> Chaotic processes like the weather are predictable in principle; but they are so complex that in practice they are unpredictable.
Chaotic processes like weather are theoretical continuous processes, i.e. whose description is based on real numbers. We can measure such numbers only with unknown non-zero error, which makes predictions have errors too, which makes fine enough details of these processes unpredictable. There is nothing qualitatively better in unpredictability that quantum phenomena bring here. Classical thermal noise is already unpredictable.
> The Intel HWRNG depends on chaos - the jitter in gate propagation times. I'd settle for that, if it weren't for the fact that the raw chaos from the process isn't available for inspection - you can only see the result of obfuscating it using AES. How much bias is there in the raw bitstream from the unencrypted HWRNG output? I have no way of finding out.
How do they obfuscate it using AES? Maybe the AES obfuscation could be reversed?
> Entropy accounting in the Linux RNG seems to be somewhere between heuristics and guesswork. It seems to be awfully complicated, given that it comes down to finger-in-the-air estimates.
This seems to be the state of the things. Kernel programmers are constantly dabbling in RNG science which they shouldn't - they end up changing kernel RNG system design and breaking stuff. I don't expect kernel to provide high quality RNG, I expect it to boot and get out of my way.
I don't like the word either. On the other hand, the meaning in the kernel seems clear: with a threat model of the attacker, it's the amount of bits that could be generated from internal state that are believed to be random, i.e. not predictable by the attacker.
> The word "random" has always been problematic. I try to use "unpredictable" instead, because I have half a clue what that word means.
Yes, "random" has many meanings. Sometimes it means simply that variable has non-repeating values with few desired statistical properties. This is not enough in cryptography, where we care about the attacker, so random there is much more demanding.
If a bit stream is looking unpredictable, but is known to be actually produced purely algorithmically, it is then not called random, but pseudo-random, because in principle, with enough knowledge of internal state, it can be predicted.
> I think "entropy" is used to mean "unpredictable in principle", which would exclude chaotic processes like CPU jitter.
"In principle" is too strong and vague. We don't have a way to test and verify a source is unpredictable in principle. We can only pronounce it based on current state of knowledge. In practice, the criterion is always "unpredictable in practice". A number source like CPU jitter may be declared unpredictable in practice. It is a decision of the implementor.
> Chaotic processes like the weather are predictable in principle; but they are so complex that in practice they are unpredictable.
Chaotic processes like weather are theoretical continuous processes, i.e. whose description is based on real numbers. We can measure such numbers only with unknown non-zero error, which makes predictions have errors too, which makes fine enough details of these processes unpredictable. There is nothing qualitatively better in unpredictability that quantum phenomena bring here. Classical thermal noise is already unpredictable.
> The Intel HWRNG depends on chaos - the jitter in gate propagation times. I'd settle for that, if it weren't for the fact that the raw chaos from the process isn't available for inspection - you can only see the result of obfuscating it using AES. How much bias is there in the raw bitstream from the unencrypted HWRNG output? I have no way of finding out.
How do they obfuscate it using AES? Maybe the AES obfuscation could be reversed?
> Entropy accounting in the Linux RNG seems to be somewhere between heuristics and guesswork. It seems to be awfully complicated, given that it comes down to finger-in-the-air estimates.
This seems to be the state of the things. Kernel programmers are constantly dabbling in RNG science which they shouldn't - they end up changing kernel RNG system design and breaking stuff. I don't expect kernel to provide high quality RNG, I expect it to boot and get out of my way.
> whose description is based on real numbers.
Yes, I get it. But you mean real real numbers from the real world, not the representations used in computers. Real real numbers have infinite precision, which means you can't measure a real real quantity.
cyphar (parents sibling) said:
> a double pendulum is a very simple system and is still chaotic
You're right, it's nothing to do with complexity. It's that immeasurably small changes in initial conditions lead to huge differences in the way a system develops. So a chaotic system that depends on real-world real quantities is in principle unpredictable, because you can't measure real-world reals precisely.
Thanks people, for nailing a stake through my misguided notion that you need a quantum process to be sure your RNG is immune to prediction by some hypothetical arbitrarily-powerful computer.
Yes, I get it. But you mean real real numbers from the real world, not the representations used in computers. Real real numbers have infinite precision, which means you can't measure a real real quantity.
cyphar (parents sibling) said:
> a double pendulum is a very simple system and is still chaotic
You're right, it's nothing to do with complexity. It's that immeasurably small changes in initial conditions lead to huge differences in the way a system develops. So a chaotic system that depends on real-world real quantities is in principle unpredictable, because you can't measure real-world reals precisely.
Thanks people, for nailing a stake through my misguided notion that you need a quantum process to be sure your RNG is immune to prediction by some hypothetical arbitrarily-powerful computer.
It seems like one of the main issues is that writes to /dev/urandom aren't counted towards the entropy count.
> Torvalds's suggestion would help much. Ted Ts'o, the other kernel RNG maintainer, cautioned that writing to /dev/urandom is not a privileged operation, so a malicious user-space program could write specific values to it; that is the reason why inputs to the device are not used "until there is a chance for it to be mixed in with other entropy which is hopefully not under the control of malicious userspace".
> "we can haphazardly mix whatever any user wants, without too much concern" as long as it is not given entropy credit.
What's the attack here? An attacker can't lower the security of a system by writing data to urandom if the data gets hashed and there's any other entropy in the system. If there isn't entropy in the system, how is it a regression?
> The Android system writes its kernel command line to /dev/urandom early in the boot process with the expectation that it will not count as entropy, "given that the command line might not contain much entropy, or any at all".
So I assume the problem here is that if you write low entropy data here and then the system counts it, the threshold to reach 256bit is lowered?
Can a crypto-person explain? Is the issue basically that an attacker would be able to make the system look like it had more entropy than it does?
> Torvalds's suggestion would help much. Ted Ts'o, the other kernel RNG maintainer, cautioned that writing to /dev/urandom is not a privileged operation, so a malicious user-space program could write specific values to it; that is the reason why inputs to the device are not used "until there is a chance for it to be mixed in with other entropy which is hopefully not under the control of malicious userspace".
> "we can haphazardly mix whatever any user wants, without too much concern" as long as it is not given entropy credit.
What's the attack here? An attacker can't lower the security of a system by writing data to urandom if the data gets hashed and there's any other entropy in the system. If there isn't entropy in the system, how is it a regression?
> The Android system writes its kernel command line to /dev/urandom early in the boot process with the expectation that it will not count as entropy, "given that the command line might not contain much entropy, or any at all".
So I assume the problem here is that if you write low entropy data here and then the system counts it, the threshold to reach 256bit is lowered?
Can a crypto-person explain? Is the issue basically that an attacker would be able to make the system look like it had more entropy than it does?
You've got it: this is purely an issue during boot-up before enough quality entropy has been gathered. If a malicious userspace program writes predictable data to /dev/random immediately on boot, and the system counts it toward the entropy credit, then it's possible that other services on the system reading from /dev/random will get predictable improperly seeded randomness. It's fine to allow writes to /dev/random at any time as long as it is never given entropy credit.
> If a malicious userspace program writes predictable data to /dev/random immediately on boot,
Hmmm, how did the program get there? A case for secure boot, no? At least initialization of RNG state should be included in the trusted part.
Hmmm, how did the program get there? A case for secure boot, no? At least initialization of RNG state should be included in the trusted part.
[deleted]
I see. That is a bit tricky... the entire "count the entropy" thing sounds like a pain. I guess I don't see a way around it - they link to fortuna, but I don't see how that's going to fix it. It sounds like fortuna is a better prng, so in theory if you have N outputs it's harder to get back to the seed? But the attacker is so early in the boot process...
It would help I guess.
I'll have to read up on Fortuna, at the least, as it sounds really neat.
edit: OK Fortuna is more than I expected. I have to read up.
It would help I guess.
I'll have to read up on Fortuna, at the least, as it sounds really neat.
edit: OK Fortuna is more than I expected. I have to read up.
The hash of known data is know data. So such an attacker could flood the system with zero-entropy data and predict with higher than baseline probability the output of “random” generators.
You can't reduce the entropy just by adding low entropy data to the pool. If I hand you 256bits of entropy you can hash "a" into it as many times as you like - it won't reduce the entropy.
The only thing I can think here is that the attacker would trick the system into thinking it had hit its 256bit entropy minimum before it actually had.
At which point... I don't know what they gain, but sure, it's at least a dick move.
The only thing I can think here is that the attacker would trick the system into thinking it had hit its 256bit entropy minimum before it actually had.
At which point... I don't know what they gain, but sure, it's at least a dick move.
MENLO PARK, March 30 (Associated Press) - In what was widely characterized as "at least a dick move", malicious hackers of unknown origin were discovered yesterday to have been spamming the entropy pool of thousands of McDonalds self service kiosks with the phrase "i can haz jalapeno cheezeburger" during system boot.
While the direct ramifications of this action remain unclear, informal discussions are already being held in various constellations in congress to probe whether the FCC should be given an extended mandate to regulate randomness, according to several sources close to the food sales tech stack regulations sector who requested to remain anonymous.
In response to the swift call for regulatory action, several privately held businesses that supply PoS devices for tea shops have pledged to promptly deploy OTA updates that replace all sources of randomness in their systems with an infinite repetition of the second amendment.
Said Harry Parks, 37, of International Teaselling Machines Inc. - "In this country it is the given right of each man to select the randomness that he wants, so be damned, and I will happily sacrifice the security of my customers to make a stand for the unique freedom and liberty we have in this country."
While the direct ramifications of this action remain unclear, informal discussions are already being held in various constellations in congress to probe whether the FCC should be given an extended mandate to regulate randomness, according to several sources close to the food sales tech stack regulations sector who requested to remain anonymous.
In response to the swift call for regulatory action, several privately held businesses that supply PoS devices for tea shops have pledged to promptly deploy OTA updates that replace all sources of randomness in their systems with an infinite repetition of the second amendment.
Said Harry Parks, 37, of International Teaselling Machines Inc. - "In this country it is the given right of each man to select the randomness that he wants, so be damned, and I will happily sacrifice the security of my customers to make a stand for the unique freedom and liberty we have in this country."
No, that's not the problem at all. Nobody is predicting anything. The issue as I understand it is that it might have been possible in some pathologically bad but real configurations for malicious userland code to trick the kernel into believing the LRNG had been seeded when it hadn't yet been.
There are a few intertwined closely related pitfalls that are each subtly different:
1) "premature first" wrt non-local attacker: this is the problem you identified - the RNG initializes when there's actually only 1 bit of entropy, and then SSH generates keys that some researchers bruteforce years later.
2) "premature first" wrt local attacker: the RNG has no entropy. Something legit feeds it 32 bits of entropy, and the kernel mixes that entropy directly into the key that's generating the /dev/urandom stream. Local unpriv'd attacker reading /dev/urandom (or some remote attacker who has access to overly large nonces or something) then bruteforces those 32 bits of entropy, compromising it, since it's only 32 bits.
3) "premature next": the RNG has some entropy. That entropy gets compromised somehow. Then the "premature first" wrt local attacker scenario happens. Maybe you think this is no big deal, since a compromise of the RNG state probably indicates something worse. But compromised seed files do happen, and in general, a "nice" property to have is that the RNG eventually recovers after compromise -- "post compromise security".
Problem set A) A malicious entropy source can currently cause any of these due to the lack of a fortuna-like scheduler. Since we just count "bits" linearly, and any source that is credit-worthy bumps that same counter, a malicious source can bump 255 bits and a legit source 1 bit, and then an attacker brute forces the 1 bit.
Problem set B) Making writes into /dev/[u]random automatically credit would cause the same issue, since it's already common for people to write non-entropic stuff into there (e.g. Android cmdline), and because others manually credit afterwards, and mixing into the /dev/urandom key without crediting would also cause a premature next issue, since some things trickle in 32 bits at a time. And other things that trickle in more bits at a time might still only have a few of those be entropic. Yada yada yada, it would cause some combination of the problems outlined above.
In spite of problem set A, the kernel currently does do a few things to prevent against these issues. First, it avoids problem set B, by not implementing that behavior. More generally, /dev/urandom extracts from the entropy pool every "256 bits" and 5 minutes. And, in order to prevent against a "premature first" it relaxes that 5 minutes to 5 seconds, then 10 seconds, then 20 seconds, then 40 seconds --> 5 minutes during early boot, so at least a potential "premature first" gets mitigated somewhat quickly.
Problem set A still exists, however. Whether anybody cares and what the code complexity cost is versus the actual risk of the issue remains to be seen, and should make for some interesting research.
1) "premature first" wrt non-local attacker: this is the problem you identified - the RNG initializes when there's actually only 1 bit of entropy, and then SSH generates keys that some researchers bruteforce years later.
2) "premature first" wrt local attacker: the RNG has no entropy. Something legit feeds it 32 bits of entropy, and the kernel mixes that entropy directly into the key that's generating the /dev/urandom stream. Local unpriv'd attacker reading /dev/urandom (or some remote attacker who has access to overly large nonces or something) then bruteforces those 32 bits of entropy, compromising it, since it's only 32 bits.
3) "premature next": the RNG has some entropy. That entropy gets compromised somehow. Then the "premature first" wrt local attacker scenario happens. Maybe you think this is no big deal, since a compromise of the RNG state probably indicates something worse. But compromised seed files do happen, and in general, a "nice" property to have is that the RNG eventually recovers after compromise -- "post compromise security".
Problem set A) A malicious entropy source can currently cause any of these due to the lack of a fortuna-like scheduler. Since we just count "bits" linearly, and any source that is credit-worthy bumps that same counter, a malicious source can bump 255 bits and a legit source 1 bit, and then an attacker brute forces the 1 bit.
Problem set B) Making writes into /dev/[u]random automatically credit would cause the same issue, since it's already common for people to write non-entropic stuff into there (e.g. Android cmdline), and because others manually credit afterwards, and mixing into the /dev/urandom key without crediting would also cause a premature next issue, since some things trickle in 32 bits at a time. And other things that trickle in more bits at a time might still only have a few of those be entropic. Yada yada yada, it would cause some combination of the problems outlined above.
In spite of problem set A, the kernel currently does do a few things to prevent against these issues. First, it avoids problem set B, by not implementing that behavior. More generally, /dev/urandom extracts from the entropy pool every "256 bits" and 5 minutes. And, in order to prevent against a "premature first" it relaxes that 5 minutes to 5 seconds, then 10 seconds, then 20 seconds, then 40 seconds --> 5 minutes during early boot, so at least a potential "premature first" gets mitigated somewhat quickly.
Problem set A still exists, however. Whether anybody cares and what the code complexity cost is versus the actual risk of the issue remains to be seen, and should make for some interesting research.
Yeah. I see (1) and (2) as instances of the same basic problem, and (3) as mostly a non-problem (like, you do the best you can to get compromise recovery from a CSPRNG, you don't do nothing, but you don't hold up progress on it).
But from my read of the backstory here, the problem is userland regressions on (1) and (2), and I buy that you simply can't have those.
But from my read of the backstory here, the problem is userland regressions on (1) and (2), and I buy that you simply can't have those.
> (3) as mostly a non-problem (like, you do the best you can to get compromise recovery from a CSPRNG, you don't do nothing, but you don't hold up progress on it).
Mitigating that attack is the main selling point of Fortuna, which makes this attack way harder. I think this is the primary thing we would get from a Fortuna-like scheduler that we don't currently have or can't currently have given the present design.
> But from my read of the backstory here, the problem is userland regressions on (1) and (2), and I buy that you simply can't have those.
Yea so the way these interact with the current story is in two totally opposite directions.
The original thing -- unifying /dev/urandom+/dev/random -- was desirable because it'd prevent (1)-like issues. People who use /dev/urandom at early boot instead of getrandom(0) wouldn't get into trouble.
Then, in investigating why we had to revert that, I noticed that the way non-systemd distros seed the RNG is buggy/vulnerable/useless, but fixing it in the kernel would lead to issue (2) by introducing problem set B. So instead I'm fixing userspaces by submitting https://git.zx2c4.com/seedrng/tree/seedrng.c to various distros and alternative init systems.
By the way, running around to every distro and userspace and trying to cram that code in really is not a fun time. Some userspaces are easygoing, while others have "quirks", and, while there has been reasonably quick progress so far, it's quite tedious. Working on the Linux kernel has its quirks too, of course, but it's just one project, versus a handful of odd userspaces.
Mitigating that attack is the main selling point of Fortuna, which makes this attack way harder. I think this is the primary thing we would get from a Fortuna-like scheduler that we don't currently have or can't currently have given the present design.
> But from my read of the backstory here, the problem is userland regressions on (1) and (2), and I buy that you simply can't have those.
Yea so the way these interact with the current story is in two totally opposite directions.
The original thing -- unifying /dev/urandom+/dev/random -- was desirable because it'd prevent (1)-like issues. People who use /dev/urandom at early boot instead of getrandom(0) wouldn't get into trouble.
Then, in investigating why we had to revert that, I noticed that the way non-systemd distros seed the RNG is buggy/vulnerable/useless, but fixing it in the kernel would lead to issue (2) by introducing problem set B. So instead I'm fixing userspaces by submitting https://git.zx2c4.com/seedrng/tree/seedrng.c to various distros and alternative init systems.
By the way, running around to every distro and userspace and trying to cram that code in really is not a fun time. Some userspaces are easygoing, while others have "quirks", and, while there has been reasonably quick progress so far, it's quite tedious. Working on the Linux kernel has its quirks too, of course, but it's just one project, versus a handful of odd userspaces.
Unification discussed on HN:
https://news.ycombinator.com/item?id=30373351 (62 comments)
https://news.ycombinator.com/item?id=30373351 (62 comments)
What about the idea of initializing the random pool from some entropy that was saved to a file on the previous boot?
Before the first boot, the entropy file could be initialized by the installation system.
Yes, these entropy files could be compromised, but that would be no worse than compromising the kernel binary or any number of other sensitive files. So as long as you have trust in the security of the most sensitive files on your filesystem, adding another sensitive file should not be much of a concern, as long as it's protected properly.
Before the first boot, the entropy file could be initialized by the installation system.
Yes, these entropy files could be compromised, but that would be no worse than compromising the kernel binary or any number of other sensitive files. So as long as you have trust in the security of the most sensitive files on your filesystem, adding another sensitive file should not be much of a concern, as long as it's protected properly.
Yes, that works iff (1) you have writable media, (2) you can actually feed it to the kernel RNG (and have it credited) before anything critical blocks on RNG output, and (3) the seed isn't (intentionally or accidentally) predictable (e.g., cloning an existing filesystem image, or cloning a VM, or any other design where the same entropy file is reused by multiple instances).
The kernel has limited ability to protect against (3). Some forms of it can be prevented with the VM Generation Counter PCI device, which Linux recently added support for.
The kernel has limited ability to protect against (3). Some forms of it can be prevented with the VM Generation Counter PCI device, which Linux recently added support for.
You don't actually have to have writable media on the system itself, as you should in principle be able to pass the entropy information to the system over netboot.
And now that I think about it, with BIOS being so sophisticated these days (with UEFI and the like), even before booting many systems should be able to use the network to get entropy information.
Regarding point (3), if an image is used in a VM, the VM host should be able to pass entropy to the guest, so the guest doesn't have to use its own entropy to boot.
And now that I think about it, with BIOS being so sophisticated these days (with UEFI and the like), even before booting many systems should be able to use the network to get entropy information.
Regarding point (3), if an image is used in a VM, the VM host should be able to pass entropy to the guest, so the guest doesn't have to use its own entropy to boot.
That's what this demo code project is about:
https://git.zx2c4.com/seedrng/tree/seedrng.c
https://git.zx2c4.com/seedrng/about/
https://twitter.com/EdgeSecurity/status/1509002499507818500
It's trying to do the seed file thing the "right way", and be portable enough that init systems can just copy and paste this where it fits.
https://git.zx2c4.com/seedrng/tree/seedrng.c
https://git.zx2c4.com/seedrng/about/
https://twitter.com/EdgeSecurity/status/1509002499507818500
It's trying to do the seed file thing the "right way", and be portable enough that init systems can just copy and paste this where it fits.
This is in fact discussed in the article.
I remember very early versions of Redhat (as in late 90s) saving the RNG seed on shutdown.
How do other OSes handle this "lack of entropy at startup" problem? (Windows, FreeBSD, OpenBSD, etc.) I've only ever seen this discussed in the context of Linux.
In practice it's not hard that hard to solve if you only are supporting a limited number of CPU architectures (e.g., all the world's x86) or only one bootloader. Even if some of the BSD systems support multiple architectures, in practice, they are mostly used only in x86 servers --- and are mostly judged by how well or poorly they work on x86. In contrast, Linux has to work on a very large number of embedded architectures, and some of the CPU architectures don't even have a fine-grained CPU cycle counter, let alone something like RDRAND. And some architectures have practically no peripherals that provide unpredictable input, and some of them very cleverly generate RSA keys and x.509 certificates as the very first thing they do as part of their "out of box" experience.
If you can assume that you're always running on x86 architecture, with RDRAND and RDSEED, and pretty much all desktops, servers, and laptops have TPM chips (which have their own hardware random number generator) and are using UEFI boot (which also has a random number generator) --- and while maybe one of these are either incompetently designed, or backdoored by either the NSA or MSS, hopefully not all of them have been compromised, it's really not that hard.
The challenge has always being on the crap embedded/mobile devies, where manufacturers live and die based on a tenth of a penny in BOM costs..... (and where they tend to have hardware engineers writing firmware and device drivers, and contractors implementing their Minimum Viable Product, and no one ever goes back to retrofit security....)
If you can assume that you're always running on x86 architecture, with RDRAND and RDSEED, and pretty much all desktops, servers, and laptops have TPM chips (which have their own hardware random number generator) and are using UEFI boot (which also has a random number generator) --- and while maybe one of these are either incompetently designed, or backdoored by either the NSA or MSS, hopefully not all of them have been compromised, it's really not that hard.
The challenge has always being on the crap embedded/mobile devies, where manufacturers live and die based on a tenth of a penny in BOM costs..... (and where they tend to have hardware engineers writing firmware and device drivers, and contractors implementing their Minimum Viable Product, and no one ever goes back to retrofit security....)
> Even if some of the BSD systems support multiple architectures...In contrast, Linux has to work on a very large number of embedded architectures
Doesn't NetBSD target an absurd number of platforms?
Doesn't NetBSD target an absurd number of platforms?
They both use a system with multiple entropy pools, and incoming entropoy is distributed over them in a staggered fashion such that eventually one of them will accumulate sufficient entropy. You'll notice there is discussion in all of these Linux patches/blog posts about eventually moving to such a design because entropy estimation is too hard and full of pitfalls.
I thought that neither try to estimate entropy, but I see that apple provides a blocking getrandom(2) system call, so maybe they additionally do some entropy estimation alongside the Fortuna design?
They are both very well documented (pdf):
https://download.microsoft.com/download/1/c/9/1c9813b8-089c-...
https://www.schneier.com/wp-content/uploads/2015/12/fortuna....
I thought that neither try to estimate entropy, but I see that apple provides a blocking getrandom(2) system call, so maybe they additionally do some entropy estimation alongside the Fortuna design?
They are both very well documented (pdf):
https://download.microsoft.com/download/1/c/9/1c9813b8-089c-...
https://www.schneier.com/wp-content/uploads/2015/12/fortuna....
how does the kernel estimate entropy?
The entropy pool design protects against some attacks, but, critically, it actually makes this boot-time initial seeding problem harder because you need to gather a lot more total entropy (spread over all pools) before the initial pool has enough bits, vs a non-staggered design.
IIRC Open BSD saves a seed each time the system is turned off. Of course, thebvery first boot is problematic, but this one tends to be the installation.
Saving a seed on disk is fine (and good), but orthogonal to the Fortuna entropy pool design.
FreeBSD does the same, but not every bootloader can put it in kernel memory. And/or not every configuration has a writeable /boot. Writing some entropy from the previous boot (or installer) would be helpful for a similar set of Linux systems, but would not solve the problem in the hardest cases. And Linux userspace is developed by a different group than kernel, so it is somewhat harder to make these kind of systemic changes than in BSD land.
FreeBSD does the same, but not every bootloader can put it in kernel memory. And/or not every configuration has a writeable /boot. Writing some entropy from the previous boot (or installer) would be helpful for a similar set of Linux systems, but would not solve the problem in the hardest cases. And Linux userspace is developed by a different group than kernel, so it is somewhat harder to make these kind of systemic changes than in BSD land.
So does Linux (although by default it only seeds it after initial boot, so doesn't help with boot-time seeding), but the problem is that the seed must be trusted. Which may be true (or true enough) in a number of specific cases, but it's not true in general.
It's not that this is hard to design, it's that it's hard to retrofit given the installed base of weird shit that already cryptically relies on the existing behavior, bugs and all.
It's kind of both. There's the existing behavior, and also it's also just sort of impossible to solve on some of these weird archs with nothing unpredictable going on.
I wasn't aware randomness had behavior.
In FreeBSD, we're equally screwed on these architectures with no good source of random data and no ability to persist some entropy from a previous boot.
There’s a nice overview of OenBSD’s RNG system here[1] or video if you prefer [2].
[1] https://www.openbsd.org/papers/hackfest2014-arc4random/index...
[2] https://m.youtube.com/watch?v=aWmLWx8ut20
[1] https://www.openbsd.org/papers/hackfest2014-arc4random/index...
[2] https://m.youtube.com/watch?v=aWmLWx8ut20
Off topic: I decided to try to figure out what LWN stands for. Not on front page. Not in FAQ (unless I missed it. Should be first question.)
I think this oversight is typical for humans but especially for experts. It’s like the inverse of Dunning-Kruger: you’re too smart to realize what others don’t know.
I think this oversight is typical for humans but especially for experts. It’s like the inverse of Dunning-Kruger: you’re too smart to realize what others don’t know.
According to the FAQ: https://lwn.net/op/FAQ.lwn#general
> What does LWN stand for, anyway?
> LWN, initially, was "Linux Weekly News." That name has been deemphasized over time as we have moved beyond just the weekly coverage, and as we have looked at the free software community as a whole. We have yet to come up with a better meaning for LWN, however.
> What does LWN stand for, anyway?
> LWN, initially, was "Linux Weekly News." That name has been deemphasized over time as we have moved beyond just the weekly coverage, and as we have looked at the free software community as a whole. We have yet to come up with a better meaning for LWN, however.
It's the last entry in the first section of the FAQ:
> LWN, initially, was "Linux Weekly News." That name has been deemphasized over time as we have moved beyond just the weekly coverage, and as we have looked at the free software community as a whole. We have yet to come up with a better meaning for LWN, however.
AT&T used to stand for American Telephone & Telegraph, now it's just AT&T. Same idea.
> LWN, initially, was "Linux Weekly News." That name has been deemphasized over time as we have moved beyond just the weekly coverage, and as we have looked at the free software community as a whole. We have yet to come up with a better meaning for LWN, however.
AT&T used to stand for American Telephone & Telegraph, now it's just AT&T. Same idea.
Thanks. I completely missed it. I went back and still missed it once more.
Wikipedia [0] states that:
The acronym "LWN" originally stood for Linux Weekly News; that name is no longer used because the site no longer covers exclusively Linux-related topics, and it has daily as well as weekly content.
Oh interesting. So maybe it’s intentionally meaningless now? Probably a good FAQ leading question. Thanks for looking it up.
[deleted]
What are the kind of boot/init processes that require the RNG? Is it only a requirement on some systems, or does basically every gameboy, laptop, soda machine etc have init processes that would need the RNG?
The issue that triggered this revert, if I'm understanding it, was that RNG reads had to be minimally decent and non-blocking already in order for a certain system to seed the RNG.
This is definitely breakage, but it'd be interesting to know about the less "reflexive" applications.
The issue that triggered this revert, if I'm understanding it, was that RNG reads had to be minimally decent and non-blocking already in order for a certain system to seed the RNG.
This is definitely breakage, but it'd be interesting to know about the less "reflexive" applications.
Lots of network things need (or desire anyway) randomness. A soda machine probably doesn't need randomness (unless it contacts a payment network), most early video game systems are deterministic, some games can have their 'random' state easily manipulated by user input.
A laptop is likely to need randomness during boot. DHCP is supposed to have a random 4-byte XID in the discover message (to be matched by the client in responses), ipv6 slaac privacy wants randomness too. 802.1x (flawed as it is) needs random values as well. If you're doing those, probably you've got a live network cable which might provide some entropy.
Things like address space randomization want to happen as well.
A laptop is likely to need randomness during boot. DHCP is supposed to have a random 4-byte XID in the discover message (to be matched by the client in responses), ipv6 slaac privacy wants randomness too. 802.1x (flawed as it is) needs random values as well. If you're doing those, probably you've got a live network cable which might provide some entropy.
Things like address space randomization want to happen as well.
KASLR, for one.
The original gameboys have absolutely no entropy sources other than reading uninitialized SRAM memory.
The original gameboys have absolutely no entropy sources other than reading uninitialized SRAM memory.
I believe there are quite a few systems that generate and install their own private-keys / certificates at boot time. Those should be rather unpredictable, being private-keys and all.
Jason is doing great work here. These aren’t fun to solve problems.
Even if long term he can bootstrap a proper userspace ecosystem of using /dev/*random, will the unification ever be possible if we have to support these old systems?
I am generally in favor of maintaining 100% userspace backward compatibility but in this case I would support changing the behavior since the old shell scripts were exploiting behavior that wasn’t documented and was always incorrect.
Even if long term he can bootstrap a proper userspace ecosystem of using /dev/*random, will the unification ever be possible if we have to support these old systems?
I am generally in favor of maintaining 100% userspace backward compatibility but in this case I would support changing the behavior since the old shell scripts were exploiting behavior that wasn’t documented and was always incorrect.
In the context of Linux on embedded and mobile breaking user space would lead to hardware manufacturers essentially freezing on the kernel version right before the break. (For both new projects or in the exceedingly rare case where they upgrade deployed devices).
This would be exceedingly unwise and pushes against the vast amount of effort the kernel community is expending to secure the kernel and bring OEMs on non ancient versions of the kernel.
Essentially these are not old devices, they are new and you likely have purchased some of them without even knowing.
This would be exceedingly unwise and pushes against the vast amount of effort the kernel community is expending to secure the kernel and bring OEMs on non ancient versions of the kernel.
Essentially these are not old devices, they are new and you likely have purchased some of them without even knowing.
Wouldn’t it be easier to patch their startup scripts than freezing their kernel?
Wouldn't switching the order of operations & getting Fortuna to be the PRNG be an easier first step and then try merging /dev/urandom and /dev/random? Since Fortuna doesn't have the entropy estimation problem, doesn't that bypass the issue? I imagine it would also bypass the related RNDADDTOENTCNT issue because you can just ignore that API call and writes would be contributing entropy just like anything else.
On a separate note, I'm not sure I understood the problem with crediting writes to random as contributing that many entropy bits when the write happens by Admin & the pool isn't yet initialized. It seems like it would largely solve this class of problems without introducing any security issues, would it?
On a separate note, I'm not sure I understood the problem with crediting writes to random as contributing that many entropy bits when the write happens by Admin & the pool isn't yet initialized. It seems like it would largely solve this class of problems without introducing any security issues, would it?
On a separate note, I'm not sure I understood the problem with crediting writes to random as contributing that many entropy bits when the write happens by Admin & the pool isn't yet initialized. It seems like it would largely solve this class of problems without introducing any security issues, would it?
There are existing startup scripts out there that write, as root, completely predictable data (the example given is the kernel commandline in Android).
There are existing startup scripts out there that write, as root, completely predictable data (the example given is the kernel commandline in Android).
At what point does "you made a willfully wrong program" override "we don't break userland"? Normally I would expect something like "we don't break documented and intended behavior we told userland to expect". It makes sense that Linux tries for a bit more than that, but if you do it too much you get almost instant ossification, which is bad.
Those programs weren't "willfully wrong". That status quo is that whatever you wrote would be potentially mixed into the pool, but not counted as adding any kind of unpredictability unless the ioctl() was used to specifically indicate this.
Admittedly, this would assume the computer is connected to the Internet, but is there not some theoretically reasonable way to get entropy off the Internet? Maybe some server with a known certificate that can return entropy from lava lamps or similar?
I realize part of the issue here is kickstarting the process right after boot. But is that the entire issue?
I realize part of the issue here is kickstarting the process right after boot. But is that the entire issue?
You're awoken abruptly, you've just got out of grub, you don't have networking interfaces, you don't have any higher level cryptography libraries, the concept of connecting to something on the internet to get entropy in order to continue booting seems like a complete fantasy. You can gather what little entropy you have, mix it with suspicious sources like RDRAND, and paper over the cracks once you've got some better sources on the burner.
you could try rowhammering yourself maybe? aren't the bitflips both spatially and temporally random, depending on em conditions?
i never knew that any user could write into the entropy sources by writing to the random block devices... that's sketch.
i never knew that any user could write into the entropy sources by writing to the random block devices... that's sketch.
I think that rowhammering is too hardware specific. I could imagine much slower embedded devices being immune because their old slow RAM is too robust, and it would really suck if ECC RAM (perhaps even opaquely ECC RAM) causes your boot to hang.
maybe you could do something with race conditions?
it's an interesting question: is there a clever way to extract random bits from a clocked ttl system by driving it in some weird way that is platform independent enough to cover the bases that don't already have hardware support for generating random bits (or have cycle counters)?
i suppose the problem is that not all chips have a cycle counter so extracting clock drift/jitter isn't always feasible... i wonder what else could work...
race conditions could be an interesting way to try to draw random bits, but probably very hardware dependent... i wonder if there are other glitchy things...
it's an interesting question: is there a clever way to extract random bits from a clocked ttl system by driving it in some weird way that is platform independent enough to cover the bases that don't already have hardware support for generating random bits (or have cycle counters)?
i suppose the problem is that not all chips have a cycle counter so extracting clock drift/jitter isn't always feasible... i wonder what else could work...
race conditions could be an interesting way to try to draw random bits, but probably very hardware dependent... i wonder if there are other glitchy things...
Some previous LWN discussions on this approach:
https://lwn.net/Articles/642166/
https://lwn.net/Articles/802360/
https://lwn.net/Articles/642166/
https://lwn.net/Articles/802360/
Why is that sketchy? There’s nothing you could write that would make the output of the RNG worse.
well, i'm not a random number scientist or anything... but i do find it a little troubling that the random number generator at the core of linux that is trusted by everything has a secret "add more random" button on it.
Is it secret? You can just cat file.txt > /dev/random if you want to seed the generator.
can you? anyone in the village is allowed to dump old junk in there. old shoes, dead cats, kernel command lines, politician emails, old diaries and missing tax returns. and then what happens once it's in there? well, it can't really be trusted or used to actually seed the rng. half the junk in there is static. so it just kinda quietly gets mixed into the entropy hash pools... to what end exactly? it's neither ignored nor actually used in a meaningful way, so the whole problem it's trying to solve is ill-posed. this is a distinct code smell, where the problem was very hard and no good solution was found, so there are still remnants of tried and aborted approaches laying around like pieces of disused viaduct after a major earthquake. for something as critical as this, yes, i'd argue that it is indeed, sketchy.
but that's less interesting than generating entropy by exploiting the digital systems equivalent of quantum effects. which has me wondering now: what if quantum entanglement is just rowhammer for reality...
but that's less interesting than generating entropy by exploiting the digital systems equivalent of quantum effects. which has me wondering now: what if quantum entanglement is just rowhammer for reality...
No matter what you send into the device, it can't make the output lower in quality, but it might make it better. Seems like a win-win in my books.
it's the notion, that it could make it "better", that is problematic.
does this mean that users who don't feed the pool manually have inferior keys?
does this mean that users who don't feed the pool manually have inferior keys?
If your hardware is impervious to rowhammer you'd get nothing
You can easily seed randomness with the user input, like the mouse.
https://security.stackexchange.com/questions/10438/what-are-...
https://security.stackexchange.com/questions/10438/what-are-...
What mouse? You haven't finished booting yet. You don't know if you're a laptop, a router or a lightbulb.
Ok then. Laptops have temperature sensors that can add entropy. A super small embeded device like a lightbulb should keep one of it's I/O pins open. A floating wire also gives entropy.
If the question is can you generate random numbers on a computer in a sealed room with absolutely no input, a static image loaded on it, and you have no storage devices to keep any sate, of course you can't generate a random number.
The vast majority of things we put computers in do have some form of input that is random enough for a seed unless you design it that way on purpose.
If the question is can you generate random numbers on a computer in a sealed room with absolutely no input, a static image loaded on it, and you have no storage devices to keep any sate, of course you can't generate a random number.
The vast majority of things we put computers in do have some form of input that is random enough for a seed unless you design it that way on purpose.
boot the mouse first, then the os
Somehow I managed to generated RSA keys with PGP 2.x in the early 1990s on a Linux system without a mouse or an always-on connection to the Internet. It took about five minutes while I mashed the keyboard during that time, but I was able to do it.
Yet we can't find enough entropy in 2022 to boot a system?
Also, why don't the BSDs seem to have as many problems on the subject as Linux apparently does?
Yet we can't find enough entropy in 2022 to boot a system?
Also, why don't the BSDs seem to have as many problems on the subject as Linux apparently does?
> It took about five minutes while I mashed the keyboard
> Yet we can't find enough entropy in 2022 to boot a system?
A Linux system will have no trouble at all if you're around to mash the keyboard while it boots. Nor if it's doing normal computer things like (IIRC) running processes on the CPU, talking over the network, or accessing files, all of which create more than enough activity & jitter to seed the entropy pool within a few seconds. Or if your computer has some form of writable storage, in which case the kernel loads some high-quality entropy that was saved from the previous boot.
The issue in question is a quite rare edge case. It only affects certain kinds of embedded systems that lack hardware capable of generating entropy on-demand, don't have writable storage, and run software that (for whatever reason) absolutely needs random numbers early during the boot process. In this situation, it is possible to get into a deadlock where a process is waiting for entropy to be available, but the system cannot reach a state where it is capable of generating entropy until that process completes.
Linux currently provides /dev/urandom to work around the issue by providing insecure randomness instead of blocking if insufficient entropy is available. This is rarely a good solution, and it can obviously lead to unexpected security vulnerabilities. Making the issue worse is the fact that /dev/random used to have much more annoying problems, so a lot of old code uses /dev/urandom when it definitely should be using /dev/random in this day and age.
The kernel developers tried to solve the problem once and for all by adding a "jitter dance" that can generate entropy out of thin air, and making /dev/urandom the same thing as /dev/random. Bu, unsurprisingly, this broke buggy cod on platforms that can't do the jitter dance.
> Also, why don't the BSDs seem to have as many problems on the subject as Linux apparently does?
A bit of googling shows they have exactly the same problems. The FreeBSD manpage for /dev/random [0] says that /dev/random and /dev/urandom behave identically on BSDs, with a setting allowing the system administrator to choose whether they block or return insecure randonmess in that edge-case situation.
The reason you've seen so much news about the problem on Linux is because the Linux kernel devs recognize that the current situation is very non-ideal, and they really want to find a way to fix it without breaking compatibility with buggy software running in niche environments. I don't know why you don't see as much news about the BSDs, but it must be either because BSD is less popular than Linux, or maybe BSD developers haven't put as much effort into fixing the problem. In any case, I see these discussions as reassuring: it demonstrates that Linux kernel developers care about fixing issues that only affect a tiny minority of users, and that they care about maintaining near-perfect backwards compatibility, even with ancient, buggy, and niche software.
[0]: https://www.freebsd.org/cgi/man.cgi?query=random&sektion=4
> Yet we can't find enough entropy in 2022 to boot a system?
A Linux system will have no trouble at all if you're around to mash the keyboard while it boots. Nor if it's doing normal computer things like (IIRC) running processes on the CPU, talking over the network, or accessing files, all of which create more than enough activity & jitter to seed the entropy pool within a few seconds. Or if your computer has some form of writable storage, in which case the kernel loads some high-quality entropy that was saved from the previous boot.
The issue in question is a quite rare edge case. It only affects certain kinds of embedded systems that lack hardware capable of generating entropy on-demand, don't have writable storage, and run software that (for whatever reason) absolutely needs random numbers early during the boot process. In this situation, it is possible to get into a deadlock where a process is waiting for entropy to be available, but the system cannot reach a state where it is capable of generating entropy until that process completes.
Linux currently provides /dev/urandom to work around the issue by providing insecure randomness instead of blocking if insufficient entropy is available. This is rarely a good solution, and it can obviously lead to unexpected security vulnerabilities. Making the issue worse is the fact that /dev/random used to have much more annoying problems, so a lot of old code uses /dev/urandom when it definitely should be using /dev/random in this day and age.
The kernel developers tried to solve the problem once and for all by adding a "jitter dance" that can generate entropy out of thin air, and making /dev/urandom the same thing as /dev/random. Bu, unsurprisingly, this broke buggy cod on platforms that can't do the jitter dance.
> Also, why don't the BSDs seem to have as many problems on the subject as Linux apparently does?
A bit of googling shows they have exactly the same problems. The FreeBSD manpage for /dev/random [0] says that /dev/random and /dev/urandom behave identically on BSDs, with a setting allowing the system administrator to choose whether they block or return insecure randonmess in that edge-case situation.
The reason you've seen so much news about the problem on Linux is because the Linux kernel devs recognize that the current situation is very non-ideal, and they really want to find a way to fix it without breaking compatibility with buggy software running in niche environments. I don't know why you don't see as much news about the BSDs, but it must be either because BSD is less popular than Linux, or maybe BSD developers haven't put as much effort into fixing the problem. In any case, I see these discussions as reassuring: it demonstrates that Linux kernel developers care about fixing issues that only affect a tiny minority of users, and that they care about maintaining near-perfect backwards compatibility, even with ancient, buggy, and niche software.
[0]: https://www.freebsd.org/cgi/man.cgi?query=random&sektion=4
> I don't know why you don't see as much news about the BSDs, but it must be either because BSD is less popular than Linux, or maybe BSD developers haven't put as much effort into fixing the problem.
I think that's certainly a significant portion of it, but also, the BSD behavior has been fairly consistent for a long time, while the Linux behavior has been changing recently. It's a bigger deal if your embedded system (or virtual machine) breaks when you upgrade to a newer kernel than if it's always been broken.
I think that's certainly a significant portion of it, but also, the BSD behavior has been fairly consistent for a long time, while the Linux behavior has been changing recently. It's a bigger deal if your embedded system (or virtual machine) breaks when you upgrade to a newer kernel than if it's always been broken.
From `man urandom` on OpenBSD 7.0:
> Entropy data stored previously is provided to the kernel during the boot sequence and used as inner-state of a stream cipher. High quality data is available immediately upon kernel startup.
> For portability reasons, never use /dev/random. On OpenBSD, it is an alias for /dev/urandom, but on many other systems misbehaves by blocking because their random number generators lack a robust boot-time initialization sequence.
> Entropy data stored previously is provided to the kernel during the boot sequence and used as inner-state of a stream cipher. High quality data is available immediately upon kernel startup.
> For portability reasons, never use /dev/random. On OpenBSD, it is an alias for /dev/urandom, but on many other systems misbehaves by blocking because their random number generators lack a robust boot-time initialization sequence.
The scheme described there has the disadvantage of requiring a writable filesystem, whereas Linux is designed to run on embedded hardware with no writable storage. If you're running "normal" hardware, Linux can do the same "save some entropy in a file" trick.
> For portability reasons, never use /dev/random. On OpenBSD, it is an alias for /dev/urandom, but on many other systems misbehaves by blocking
This seems like bad advice to me (at least as a blanket statement). On recent versions of Linux, /dev/random only blocks if the kernel cannot guarantee cryptographically secure randomness. If you use /dev/urandom in this situation, you get potentially insecure randomness, which can lead to security vulnerabilities. My understanding of the current best practice is: unless you're running on weird embedded hardware, writing an application which absolutely needs randomness during earlyboot, AND you don't care about the quality of the randomness, you shouldn't use urandom.
Perhaps the manpage was referencing an older version of Linux where the entropy pool could be "drained" and had to be re-seeded periodically, but that was not a great design and was replaced in 2020: https://lwn.net/Articles/808575/
> For portability reasons, never use /dev/random. On OpenBSD, it is an alias for /dev/urandom, but on many other systems misbehaves by blocking
This seems like bad advice to me (at least as a blanket statement). On recent versions of Linux, /dev/random only blocks if the kernel cannot guarantee cryptographically secure randomness. If you use /dev/urandom in this situation, you get potentially insecure randomness, which can lead to security vulnerabilities. My understanding of the current best practice is: unless you're running on weird embedded hardware, writing an application which absolutely needs randomness during earlyboot, AND you don't care about the quality of the randomness, you shouldn't use urandom.
Perhaps the manpage was referencing an older version of Linux where the entropy pool could be "drained" and had to be re-seeded periodically, but that was not a great design and was replaced in 2020: https://lwn.net/Articles/808575/
It's my understanding that openbsd boot will take a bit longer to seed the random seed file when there is not a prior seed file on a writable filesystem, just like during the first boot after the os install. This was my experience when I created an openbsd router that booted from a single file and had no persistent storage.
It's also my understanding that /dev/urandom on openbsd will never block for a user process, nor anything that I've ever needed to worry about in the kernel.
Some additional info that I found: https://www.openbsd.org/papers/hackfest2014-arc4random/
It's also my understanding that /dev/urandom on openbsd will never block for a user process, nor anything that I've ever needed to worry about in the kernel.
Some additional info that I found: https://www.openbsd.org/papers/hackfest2014-arc4random/
Something something perfect good blah blah.
Most Linux systems don't even have a mouse, and even those that do, users tend not to fiddle with them in early boot, so no signal there, even if you've gotten around to initializing it already.
The majority of LInux devices do not have any keyboard or mouse, and those that do will see absolutely no input during init, you've never seen "move the mouse around a bunch to begin boot".
I am wrong, please ignore my above post.
great windows solution
No it isn't the entire issue. Or more precisely on your average desktop system this isn't really a problem. The jitter dance will suffice here.
The clue is in randomness seed files. You won't have one of these on a PC because you don't need it. Once you have your 128/256 bits of entropy you can stretch this using a DRBG for actual use and it'll be good.
The problem is systems that are much more deterministic, because they have simpler CPUs that don't do speculative execution, or have anything fancy by way of caching. Their peripherals are fixed at boot time via a devicetree file and udev style peripheral plug and play doesn't happen.
These tend to be embedded use cases. To get around this, you have a seed file to give you at least some good entropy. Then you mix in the best you can get and update that seed file for next boot. Hopefully this plus what you get while the device is on is enough for next time.
A lot of crypto including the tls you might use to get stuff off the internet will break if the quality of randomness is not good enough.
You are reading 'Linux' and hearing 'desktop' but the reality is there is a lot more embedded Linux than desktop Linux, and that's where the entropy problems start to creep in depending on the device in question.
The clue is in randomness seed files. You won't have one of these on a PC because you don't need it. Once you have your 128/256 bits of entropy you can stretch this using a DRBG for actual use and it'll be good.
The problem is systems that are much more deterministic, because they have simpler CPUs that don't do speculative execution, or have anything fancy by way of caching. Their peripherals are fixed at boot time via a devicetree file and udev style peripheral plug and play doesn't happen.
These tend to be embedded use cases. To get around this, you have a seed file to give you at least some good entropy. Then you mix in the best you can get and update that seed file for next boot. Hopefully this plus what you get while the device is on is enough for next time.
A lot of crypto including the tls you might use to get stuff off the internet will break if the quality of randomness is not good enough.
You are reading 'Linux' and hearing 'desktop' but the reality is there is a lot more embedded Linux than desktop Linux, and that's where the entropy problems start to creep in depending on the device in question.
> You are reading 'Linux' and hearing 'desktop' but the reality is there is a lot more embedded Linux than desktop Linux
Yeah, this is a weird example of availability bias. Of the literally billions of Linux instances on the planet, how many are desktops these days? One in a thousand? Even less? Most of them are Android phones, most of the rest (other) embedded devices, almost all of the rest, servers.
Yeah, this is a weird example of availability bias. Of the literally billions of Linux instances on the planet, how many are desktops these days? One in a thousand? Even less? Most of them are Android phones, most of the rest (other) embedded devices, almost all of the rest, servers.
If you ask me, every motherboard should ship with a bit of Americium 241, that way they have a physical entropy source AND can detect when a fire has occurred inside the case (:
Processors already have instructions to generate random numbers from physical fluctuations.
And temperature sensors to detect fires!
Sending an ssl/tls request also requires some entropy! It's needed to avoid MITM and replay attacks.
A bit more info: https://security.stackexchange.com/questions/157684/why-does...
A bit more info: https://security.stackexchange.com/questions/157684/why-does...
It doesn't need to be encrypted, just signed by the entropy source. The signature should be verifiable without entropy.
How does that prevent replay attacks?
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Hmm good point. I guess you need entropy for a nonce.
Maybe include and sign a timestamp?
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Yes, seeding entropy from a server is a thing you can do. One such service is "pollinate".
I don't think that would help here.
I don't think that would help here.
Apart from all the other reasons this is a very bad idea, the brick wall you run into is that you need cryptographically secure randomness to safely fetch randomness from the Internet.
> I realize part of the issue here is kickstarting the process right after boot.
Really it's during the bootstrap phase, unless you define that process as complete once the CPU has branched into the kernel's address space, which I wouldn't consider a useful definition. After all, kernel's enumeration of the attached devices and such is also part of the bootstrap process.
Really it's during the bootstrap phase, unless you define that process as complete once the CPU has branched into the kernel's address space, which I wouldn't consider a useful definition. After all, kernel's enumeration of the attached devices and such is also part of the bootstrap process.
I wrote https://mjg59.user.srcf.net/entropy/ over 20 years ago, so yes, this is an entirely solved problem.
(The issues associated with seeding an RNG with data entirely controlled by a third party are left as an exercise for the reader)
(The issues associated with seeding an RNG with data entirely controlled by a third party are left as an exercise for the reader)
Even assuming trust of the 3p service - establishing an ssl connection actually requires entropy too. Even more raw - how could a zero entropy client generate a nonce to protect itself against replay attacks by man in the middle?
I suppose this situation works if you assume both a trusted third party service and a trusted networking layer, but all those assumptions greatly inhibit usefulness.
I suppose this situation works if you assume both a trusted third party service and a trusted networking layer, but all those assumptions greatly inhibit usefulness.
Anything you get from a network interface could have been interfered with by a third party.
Do they have CPU temperature at that point in boot? That should still work given enough time to gather entropy, on jitterless platforms.
They also have fixed seeds+ RTC on some platforms.
Seems like they should be able to find a few bits of entropy on almost any platform.
They also have fixed seeds+ RTC on some platforms.
Seems like they should be able to find a few bits of entropy on almost any platform.
The problem is that some environments don't have that kind of information. For example, VMs.
VM host does, can expose emulated randomness source.
but it doesn't, so it isn't a solution
No, that's wrong. There are actually a number of ways VM hosts can and do expose host entropy to guests. On x86, for example, they can allow the guest to use RDRAND/RDSEED. On anything with PCI devices, there's VirtIORNG: https://wiki.qemu.org/Features/VirtIORNG . VM hypervisors absolutely implement this service, or similar guest services, and hosting providers enable them.
Sure. But the issue here is when these features are not used correcly. For non-vms, linux uses cpu jitter as a fallback if the random device is missing or misconfigured. But for vms, that fallback doesn't work as well.
I'm sure the kernel devs can make it happen, I don't see why VM devs wouldn't want to add this if thry saw clear demand.
They probably couldn't just use RDRAND and the like since Linux doesn't seem to trust that though, so the API could be tricky.
They probably couldn't just use RDRAND and the like since Linux doesn't seem to trust that though, so the API could be tricky.
Being able to have a solution isn't enough, even having a solution in hand people could switch to isn't enough. You need to actually show no currently working setups are going to break as a result of the change, regardless what those setups could do to avoid breaking after the change.
How exactly can existing code break if you change randomness? It's already random! Changing random from random to random shouldn't make a difference.
There's an example described in the article, unless I'm misunderstanding this thread. It doesn't change the output distribution, but rather the behavior around the interface, causing certain users of the old interface to block forever on the new.
"break" in this case means made less random/more prone to malicious attacks, hence made less secure. The code won't break in the sense of visibly failing; it'd just silently switch to being less correct and more vulnerable - which is arguably worse.
> Seems like they should be able to find a few bits of entropy on almost any platform.
We often do.. the seed file from last boot. Just need a /dev/no_im_root_and_i_really_want_to_add_and_credit_this_entropy_random
device.
We often do.. the seed file from last boot. Just need a /dev/no_im_root_and_i_really_want_to_add_and_credit_this_entropy_random
device.
Sounds like they need a way for userspace to state it accepts that it is running on a system that doesn’t have randomness available. Unfortunately that requires a change to userspace.
getrandom(GRND_INSECURE) is this
I mean some kind of toggle that disables the whole entropy counting so you don’t have to change all the executables.
Today you can emulate old computers in such a way you can run it 10 times and get exactly the same result each time. If you were able to run the Linux kernel like this there simply is no way to get randomness.
The solutions I can imagine are for the kernel to block, as happened here, for the kernel to give back numbers that aren’t really random (because if you rerun the emulation you’ll get the same numbers) or for userspace to say the system accepts numbers that aren’t secure random numbers.
Today you can emulate old computers in such a way you can run it 10 times and get exactly the same result each time. If you were able to run the Linux kernel like this there simply is no way to get randomness.
The solutions I can imagine are for the kernel to block, as happened here, for the kernel to give back numbers that aren’t really random (because if you rerun the emulation you’ll get the same numbers) or for userspace to say the system accepts numbers that aren’t secure random numbers.
Yes, I think that ultimately the solution is to remove entropy counting entirely.
Don't break userspace!
Do people trying to crack crypto go after trying to predict the outputs of these random number generators? Would they be used to generate keys for SSL key exchange?
Yes. Here's a non-crypto instance of using a seed value to deterministically identify the output of a random number generator. This only works in Python 2.x:
https://en.wikipedia.org/wiki/Fizz_buzz
import random
for i in range(0,50):
if not i % 15:
random.seed(1178741599)
print [i+1, "Fizz", "Buzz", "FizzBuzz"][random.randint(0,3)]
https://en.wikipedia.org/wiki/Fizz_buzz
I recall a piece of research looking at all RSA public keys in certificates on the web they could find. They found a few keys that were very _very_ common.
This was the result of exactly these kinds of low entropy key generation problems.
This is problematic even if no-one manages to predict the outcome of the random generator, because it means if someone throws a stupid amount of compute at the problem to brute-force the private key, they can compromise many different people.
But if the source of those repeated keys can be found, an attacker could get their own copy, reverse-engineer the key-generation process, and then try to predict the randomness. In which case they would have a rather cheap way to compromise many different keys.
Looking at it differently, if the problem is big enough, then it can leave a signature of duplicate keys being out their in the wild. These duplicate keys on their own are bad, but the signature can also be used by attackers to know much better where to look for bad entropy.
This is problematic even if no-one manages to predict the outcome of the random generator, because it means if someone throws a stupid amount of compute at the problem to brute-force the private key, they can compromise many different people.
But if the source of those repeated keys can be found, an attacker could get their own copy, reverse-engineer the key-generation process, and then try to predict the randomness. In which case they would have a rather cheap way to compromise many different keys.
Looking at it differently, if the problem is big enough, then it can leave a signature of duplicate keys being out their in the wild. These duplicate keys on their own are bad, but the signature can also be used by attackers to know much better where to look for bad entropy.
(1) They do if the RNG isn't seeded or is seeded improperly; otherwise, it's pointless (you might as well try to break AES).
(2) Yes.
(2) Yes.
someone needs to take a radio telescope and point it at random (haha) bit of sky with a live feed of the noise being turned into a live stream of 1s & 0s. then create an API that allows one to get a number of bits from the live stream. let's make /dev/*random require an internet connection!
Also, we'll need some jammers so the haxors don't try to rick roll the signal
Also, we'll need some jammers so the haxors don't try to rick roll the signal
How do you verify, without being able to send a random challenge, that you are really talking to the radio telescope when it feeds you random data?
If you want to do TLS as a client you still need secure randomness. You need it as input to Diffie-Helman (or whatever key-agreement system you are using). Or, if you are dong old TSL with pure RSA, you need an unpredictable RSA key.
In any case, if an attacker can predict your randomness, he can pretend to be the radio telescope over TLS. The problem is inherent in all asymmetric crypto you would use. You could 'get around this' by using symmetric crypto, but then you need a shared secret, which does not scale.
If you want to do TLS as a client you still need secure randomness. You need it as input to Diffie-Helman (or whatever key-agreement system you are using). Or, if you are dong old TSL with pure RSA, you need an unpredictable RSA key.
In any case, if an attacker can predict your randomness, he can pretend to be the radio telescope over TLS. The problem is inherent in all asymmetric crypto you would use. You could 'get around this' by using symmetric crypto, but then you need a shared secret, which does not scale.
Thanks for reminding me why I'm not a comedian. If you couldn't tell that anything in my comment was a joke, then I'm obviously not good at comedy.
It was obvious your suggestion was a joke. But there was a slightly surprising reason (besides the other obvious ones) that your joke-suggestion would be a bad idea. Hence it seemed interesting for the general discussion to explain this reason.
Not quite stars, but this is super duper close:
https://www.random.org/
> RANDOM.ORG offers true random numbers to anyone on the Internet. The randomness comes from atmospheric noise, which for many purposes is better than the pseudo-random number algorithms typically used in computer programs.
https://www.random.org/
> RANDOM.ORG offers true random numbers to anyone on the Internet. The randomness comes from atmospheric noise, which for many purposes is better than the pseudo-random number algorithms typically used in computer programs.
There are fictional plot lines that involve using atmospheric/space noise as the methods for creating one time cypher pads for the ultimate in security. How much of that is based in reality is not known to me, but I know Tom Clancy used this type of encryption as a plot device.
For one time use cyphers or other non-realtime use, it seems like a good source. For realtime back and forth computer negotiating it seems to be much less useful.
For one time use cyphers or other non-realtime use, it seems like a good source. For realtime back and forth computer negotiating it seems to be much less useful.
Don't give the systemd people any ideas !
PLEASE!
SGI had an online random number source fed by cameras pointing at lava lamps.
Of course they did. Something that was slower than christmas to make noticeable changes, got hotter than hell, and took up way more space than anything else for the performance.
Cloudflare does also.
https://www.cloudflare.com/learning/ssl/lava-lamp-encryption...
https://www.cloudflare.com/learning/ssl/lava-lamp-encryption...
Reading all this makes me almost suspect that real world security for most people would be to just use the RDRAND from the cpu.
Yes, but lots of systems don't have it.
Why don’t all computers provide a random hardware generator? Randomness is trivial in dedicated hardware..
It is but you need to trust the hardware. Trust is the keyword here. Long battles have been fought over this. Many high profile authors have (successfully) argued against the use of unauditable sources of entropy being used in /dev/random.
https://en.wikipedia.org/wiki/RDRAND#Reception
https://en.wikipedia.org/wiki/RDRAND#Reception
If you don't trust the hardware, any software you run on it is already compromised.
Yeah, but having a broken RNG in unauditable encrypted obfuscated microcode is more likely to go undetected than something hotter and more critical for performance, but even then meltdown and spectre took a long time to figure out.
Because some computers are a 10c part in a 50c device.
Are they the same computers running Linux though?
Yes Linux has a tremendous existing embedded footprint across a number of interesting minimally specced devices.
You (and everyone) should care because of the ever expanding internet of things movement connecting these devices up to the rest of the computing universe. This represents a brand new frontier for attack surfaces and if the kernel cannot provide foundational entropy there's no plausible security story for the rest of the stack.
The cynic would be quick to point out that IoT is a nitemare anyway and even if the kernel gives the tools the manufacturer needs to use them and use them in the right way.
You (and everyone) should care because of the ever expanding internet of things movement connecting these devices up to the rest of the computing universe. This represents a brand new frontier for attack surfaces and if the kernel cannot provide foundational entropy there's no plausible security story for the rest of the stack.
The cynic would be quick to point out that IoT is a nitemare anyway and even if the kernel gives the tools the manufacturer needs to use them and use them in the right way.
I’d be more convinced by an example of a 10c microprocessor that can run Linux. Obviously it sounds better to support everything, but there also are (and should be) bounds to what Linux should try to support.
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Just about all Linux-capable computers have hardware RNG by now, don't they? Just seed the random device from that.
Many computers have TPMs or Secure Enclaves or whatnot these days. Many CPUs have similar or subset functionality built in. Why don’t manufacturers start to add hardware entropy sources? Then /dev/*random could source entropy from a driver, not an algorithm.
Yes, I know that it only fixes things going forward, and I know that the answer to any question that starts with “why don’t they” is “money”.
Sigh.
Yes, I know that it only fixes things going forward, and I know that the answer to any question that starts with “why don’t they” is “money”.
Sigh.
> “why don’t they” is “money”.
More likely "trust". A purpose build instruction with a black box implementation on hardware that has its own hidden OS with direct access to the network is one issue. The fact that Intels CPUs are a bug riddled mess that have been a significant headache to anyone caring about kernel and application layer security is another. Who needs security if disabling all the mitigations makes you look great on benchmarks.
More likely "trust". A purpose build instruction with a black box implementation on hardware that has its own hidden OS with direct access to the network is one issue. The fact that Intels CPUs are a bug riddled mess that have been a significant headache to anyone caring about kernel and application layer security is another. Who needs security if disabling all the mitigations makes you look great on benchmarks.
A HES or a HRNG is observable and testable.
And we trust purpose built security hardware all the time; think crypto accelerator cards and HSMs.
And we trust purpose built security hardware all the time; think crypto accelerator cards and HSMs.
It's much harder to test the output of a TRNG
CONFIG_RANDOM_TRUST_CPU=y
CONFIG_RANDOM_TRUST_BOOTLOADER=y
CONFIG_HW_RANDOM=y
CONFIG_HW_RANDOM_TPM=y
and so forth all exist.
CONFIG_RANDOM_TRUST_BOOTLOADER=y
CONFIG_HW_RANDOM=y
CONFIG_HW_RANDOM_TPM=y
and so forth all exist.