The same is true for JS crypto - yes, it is not as safe as crypto in native code, but it can be used to add an additional layer of security in certain (non-critical) use cases.
[Disclosure: I run AES.io]
The same is true for JS crypto - yes, it is not as safe as crypto in native code, but it can be used to add an additional layer of security in certain (non-critical) use cases.
[Disclosure: I run AES.io]
you are saying not safe as if the term has a standard meaning across all contexts. anything can be cracked - the question is whether the time it takes to crack a computer is worth it compared to the data stored on the computer. in almost any case you actually need cryptography and it's not just a nice to have (aka credit cards, personal information) it's not worth using anything but native code.
That point of yours actually points to a potential vulnerability in server-side (possibly native-code) encryption, not client-side encryption, which we discuss here.
I completely agree with you that anything can be cracked, and JS crypto more so than _some_ native-code cryptosystems. My point is that using JS crypto for some non-critical applications (e.g. as an alternative to corporate IM/email) can be useful and convenient.
...it also relates to the time it takes to generate a response from the client, server was just a specific example. side channel attacks are extremely flexible. the only reasonably secure crypto code is code that executes in the same amount of time no matter the execution path.
lastly, if you're using protocols to prevent mitm attacks, you've already reached a level of sophistication where you may as well just throw javascript crypto out and use a real crypto package. if you're not using those protocols the information is basically free and you shouldn't add any crypto because that might mistakenly convince people that they're secure.
remote timing attacks contain noise by default, as they rely on server communications passed across a network with latency instead of examining the hardware directly to determine execution time. if you compare the network latency to the cache timing you'll find the noise is actually pretty fucking substantial.
a timing attack relies on a average difference in execution time between two paths of code. certain noise isn't going to protect you - for example, if everything on average takes 200ms longer, the average difference in execution time is still there.
timing attacks are only easier against native code written by people who don't know what they're doing, which means they made different execution paths take variable amounts of time, didn't examine the generated assembly by a hardware expert, and didn't bother to mask the crypto operations with proper noise generated using a cryptographically secure prng.