Cryptanalyzing MEGA in Six Queries
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Cryptanalyzing MEGA in Six Queries
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Re: Cryptanalyzing MEGA in Six Queries
#2I know this is from the initial paper but it is great to see practical examples of algorithms taught in college/uni.
I always had trouble understanding why we are learning such hard topics to find the number 5 in a sorted list of 10 numbers.
To keep things on topic.
>The patches that MEGA developed to mitigate the original key recovery attack are effective against our improved attack as well, so updated clients are not vulnerable to the techniques presented in this work. However, our optimized cryptanalysis underscores the ongoing risk to unpatched clients
Great to hear that their patches fix the root of the problem but this paper has now significantly reduced the complexity of carrying out the attack.
Re: Cryptanalyzing MEGA in Six Queries
#3Re: Cryptanalyzing MEGA in Six Queries
#4Re: Cryptanalyzing MEGA in Six Queries
#5>Their attack uses binary search to recover the private RSA key after 1023 client logins I know this is from the initial paper but it is great to see practical examples of algorithms taught in college/uni. I always had trouble understanding why we are learning such hard topics to find the number 5 in a sorted list of 10 numbers. To keep things on topic. >The patches that MEGA developed to mitigate the original key re…
Re: Cryptanalyzing MEGA in Six Queries
#6Re: Cryptanalyzing MEGA in Six Queries
#7Are we still pretending anyone uses Mega for something other than piracy?
Re: Cryptanalyzing MEGA in Six Queries
#8>Their attack uses binary search to recover the private RSA key after 1023 client logins I know this is from the initial paper but it is great to see practical examples of algorithms taught in college/uni. I always had trouble understanding why we are learning such hard topics to find the number 5 in a sorted list of 10 numbers. To keep things on topic. >The patches that MEGA developed to mitigate the original key re…
It is left up to the learner to realize that the list of 10 numbers can be either the left side or right side of a higher node, showing that any binary search of 10 numbers works on 20 numbers and hence on any size sorted-list. Then, it becomes clear why the average search space decrease from N to log n.
Many people find binary search to be a valuable algorithm to use in practice.
Re: Cryptanalyzing MEGA in Six Queries
#9Are we still pretending anyone uses Mega for something other than piracy?
Probably.
Re: Cryptanalyzing MEGA in Six Queries
#10Why so much complexity when all Mega has to do to recover the private key is to capture it using JavaScript ? (they can target specific files or users without getting caught) https://xkcd.com/538/