On 9/16/20 8:04 PM, Florian Weimer wrote:
* madvenka:
quoted
Examples of trampolines
=======================
libffi (A Portable Foreign Function Interface Library):
libffi allows a user to define functions with an arbitrary list of
arguments and return value through a feature called "Closures".
Closures use trampolines to jump to ABI handlers that handle calling
conventions and call a target function. libffi is used by a lot
of different applications. To name a few:
- Python
- Java
- Javascript
- Ruby FFI
- Lisp
- Objective C
libffi does not actually need this. It currently collocates
trampolines and the data they need on the same page, but that's
actually unecessary. It's possible to avoid doing this just by
changing libffi, without any kernel changes.
I think this has already been done for the iOS port.
The trampoline table that has been implemented for the iOS port (MACH)
is based on PC-relative data referencing. That is, the code and data
are placed in adjacent pages so that the code can access the data using
an address relative to the current PC.
This is an ISA feature that is not supported on all architectures.
Now, if it is a performance feature, we can include some architectures
and exclude others. But this is a security feature. IMO, we cannot
exclude any architecture even if it is a legacy one as long as Linux
is running on the architecture. So, we need a solution that does
not assume any specific ISA feature.
quoted
The code for trampoline X in the trampoline table is:
load &code_table[X], code_reg
load (code_reg), code_reg
load &data_table[X], data_reg
load (data_reg), data_reg
jump code_reg
The addresses &code_table[X] and &data_table[X] are baked into the
trampoline code. So, PC-relative data references are not needed. The user
can modify code_table[X] and data_table[X] dynamically.
You can put this code into the libffi shared object and map it from
there, just like the rest of the libffi code. To get more
trampolines, you can map the page containing the trampolines multiple
times, each instance preceded by a separate data page with the control
information.
If you put the code in the libffi shared object, how do you pass data to
the code at runtime? If the code we are talking about is a function, then
there is an ABI defined way to pass data to the function. But if the
code we are talking about is some arbitrary code such as a trampoline,
there is no ABI defined way to pass data to it except in a couple of
platforms such as HP PA-RISC that have support for function descriptors
in the ABI itself.
As mentioned before, if the ISA supports PC-relative data references
(e.g., X86 64-bit platforms support RIP-relative data references)
then we can pass data to that code by placing the code and data in
adjacent pages. So, you can implement the trampoline table for X64.
i386 does not support it.
I think the previous patch submission has also resulted in several
comments along those lines, so I'm not sure why you are reposting
this.
IIRC, I have answered all of those comments by mentioning the point
that we need to support all architectures without requiring special
ISA features. Taking the kernel's help in this is one solution.
quoted
libffi
======
I have implemented my solution for libffi and provided the changes for
X86 and ARM, 32-bit and 64-bit. Here is the reference patch:
http://linux.microsoft.com/~madvenka/libffi/libffi.v2.txt
The URL does not appear to work, I get a 403 error.
I apologize for that. That site is supposed to be accessible publicly.
I will contact the administrator and get this resolved.
Sorry for the annoyance.
quoted
If the trampfd patchset gets accepted, I will send the libffi changes
to the maintainers for a review. BTW, I have also successfully executed
the libffi self tests.
I have not seen your libffi changes, but I expect that the complexity
is about the same as a userspace-only solution.
I agree. The complexity is about the same. But the support is for all
architectures. Once the common code is in place, the changes for each
architecture are trivial.
Madhavan
Cc:ing libffi upstream for awareness. The start of the thread is
here:
<https://lore.kernel.org/linux-api/20200916150826.5990-1-madvenka@linux.microsoft.com/ (local)>