Christopher Liebchen & Ahmad-Reza Sadeghi & Andrei Homescu & Stephen Crane
We're concerned with many problems that are actually 3 decades old. Nowadays, everyone has access to cell phones. Many developers with different intentions and different background (particularly with security).
So - how do we build secure systems from insecure code? Seems counter-intuitive, but we have to do it. We cannot just keep adding more software onto these old systems.
We've had decades of run-time attacks - like the Morris Worm in 1988, which just keeps going.
There are a number of defenses, but often the "defenses" are broken by the original authors juts a few years ago. So, there is a quest for practical and secure solutions...
Big software companies, like Google and Microsoft, are very interested in defending against run-time attacks, like Emet or CF Guard in MS or IFCC and VTV from Google. But how secure are these solutions?
The Beast in Your Memory: includes bypass of EMET. return oriented programming attacks against modern control-flow integrity protection techniques...
The main problems are memory corruption and memory leakage.
You can do a code-injection attack or a code-reuse attack.
Randomization can help a lot, but not perfect.
Remember, for return-oriented programmng: basic idea: use small instruction sequences instead of whole functions. Instruction sequences of length 2to5, all sequences end with a return instruction. Instruction sequences chained together, modifying what code is executed after return.
Assuptions for our adversary model: memory pages are writable executable, we also assume there is address space layout randomization (ASLR), and that it can disclose arbitrary readable memroy.
Main defenses: code randomization and control flow integrity.
Randomization has low performance overhead and scales well to complex software Though, this suffers with low system entropy and information disclosure is still hard to prevent.
For CFI: formal security (explicit control flow checks) - if something unexpected happens, you can stop execution (in theory). It's a trade-off be performance and secuity (inefficient) and chalenigng to integrae in complex software.
What about fine-grained ASLR? You are just trying to make it more complicated. But, this has been attacked by JIT-ROP (BH13). That undermines any fine-grained ASLR and shows memory disclosures are far more damaging than believed. This can be instantiated with real-world exploits.
Then we got a pretty graphical demo of how JIT-RoP works.
Their current research is around code-pointer hiding.
Their objectives were to prevent code reuse & memory disclosure attacks. It should be comprehensive (ahead of time + JIT), practical (real browsers) and fast (less than 6% overhead).
We prevent direct memory disclosures by using execute-only code pages, which prevent direct disclosure of code. Previous implementations do not entirely meet our goals. So, we fully enforce execute-only permissions with current x86 hardware.
We have virtual addresses that get translated to physical addresses. During the translation, the MMU can enforce some translations. As soon as your code page is executable, it is also readable. But you might want something to be readable, but not executable. Can do this with extended page tables, which will note that something is only executable (not readable).
The attacker can leak pointers to functions that point to the beginning or in the middle - once he's got that pointer, he can figure a lot more things out.
So, we can add another layer of indirection: code pointer hiding!
They modified the readactor compiler so we would have codedata separation, fine-grained code randomization, and code-pointer hiding.
our goal is to protect applications which are frequent targets of attack. They have JIT (just in time) code, which is harder to protect, as it frequently changes. Solution: Alternate EPT usage between mutable mapping RW-) and execute-only mapping (--X).
Now, does this actually work? Checked performance with SPEC CPU2006 and chromium benchmarks. Checked practicality bye compiling and protecting everything in Chromium.
The full readactor caused roughly 6.4% slowdown. But, if you only protect the hypervisor in execute only mode, that's only around 2% performance impact, which seems acceptable.
How does it do wrt security? Resilience against (in)direct memory disclosure.
Code resuse attacks are a a severe threat, everyone acknowledges this. Readactor: first hardware enforced execute-only fine-grained memory randomization for current x86 hardware.
Testing 1, 2, 3 - Dropsafe is now entirely solid-state…