[vlovich123]

The size of the distributed binary gets very large because you're shipping a lot of code that ends up getting eliminated by the linker. Also if you want to do any kind of LTO, then I don't see how you do it in your model. (which is significant for the larger applications like Chrome that have the likely attack surface). Not every binary on the system actually needs this either.

Finally, the main problem with this idea is that you can't audit malware because there's no way to maintain a source of truth about what the binary on a given system should be. Distributing randomly linked copies solves that because you can have a deterministic mapping based on machine characteristics (you do have to keep this hash secure but it's feasible). You'd basically be maintaining N copies of your distro with randomly built binaries with the user being given a random one to install.

And to be clear, my better idea is to do this at the compiler level so that you randomize the relative location of functions. That way it's impossible to find any gadget to grab onto and you have to get information leakage from the machine you're attacking & this information leakage has to be repeated for each machine you want to compromise.

[dfox]

Randomizing the link order per release does not solve anything, for this to really work as an mitigation layer, you need to have few different randomly linked versions and randomly give these to the end users. Just randomizing the build does not solve anything as there still is exactly one layout that everyone uses.

On another note: automating this on gentoo is cool exercise, but almost certainly if you just build everything locally, the memory layout will be random enough that writing shellcode blindly presents an interesting challenge. (different compiler flags, various probabilistic optimization passes… all that leads to the functions in same object file having different sizes)

[vlovich123]

> Randomizing the link order per release does not solve anything, for this to really work as an mitigation layer, you need to have few different randomly linked versions and randomly give these to the end users. Just randomizing the build does not solve anything as there still is exactly one layout that everyone uses.

First, it does. At scale, the probability of everyone running the exact version of every piece of software is 0. If you want, go take a look and see how many users are running a given version of Android.

Also, did you miss when I wrote

> Taking this a step further, create link N randomly sorted copies per version and randomly distribute those

I agree, doing it per version is only just a small amount of coverage. We're in agreement that generating N randomized copies and distributing those evenly is a stronger position because it makes the cost MN where you have M releases that are still running and N variants per release.