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License: MIT License
TypeDive: Multi-Layer Type Analysis (MLTA) for Refining Indirect-Call Targets
License: MIT License
I noticed that the kanalyzer build requires the C++ header files which can be found in g++-10. In my case, installing g++-10 helped me pass that stage. Probably it was a missing requirement when TypeDive was upgraded to LLVM-15.
sudo apt install g++-10
Hope it helps somebody having the same problem.
The irgen.sh give the error unknown argument: '-flegacy-pass-manager' when build linux kernel.
https://github.com/umnsec/mlta/blob/acb8f4ca60cbae108f077202985c059f40391bc4/src/lib/MLTA.cc#L490C1-L496C7
First of all, I would like to express my respect for your work. In the process of reading the source code of mlta, I have some questions here.
The logic of this part seems to be to process the callback function type. Should the first parameter of confineTargetFunction
here be the storage address of StoreInst, rather than the entire instruction?
The variable CUR_DIR is referred to as CURDIR in many cases.
First, I would like to express my respect for this work. By reviewing the source code of MLTA and some test cases I found a potential case that may cause MLTA to produce additional false negatives than FLTA.
Below is an example from dovecot project. And iostream_pump_flush
is an address-taken function used as an argument of call expression o_stream_set_flush_callback(pump->output, iostream_pump_flush, pump);
.
I noticed MLTA does process the case that addr-taken function is used as a call argument for type confining. However, in this case, there exists an indirect call in the call in the call-chain, _stream->set_flush_callback(_stream, callback, context);
call o_stream_default_set_flush_callback
. Where type confinement happens in o_stream_default_set_flush_callback
. Will this lead to insufficient confinement of iostream_pump_flush
to field ostream::callbacks
?
void iostream_pump_start(struct iostream_pump *pump)
{
i_assert(pump != NULL);
i_assert(pump->callback != NULL);
/* add flush handler */
if (!pump->output->blocking) {
o_stream_set_flush_callback(pump->output,
iostream_pump_flush, pump);
}
/* make IO objects */
if (pump->input->blocking) {
i_assert(!pump->output->blocking);
o_stream_set_flush_pending(pump->output, TRUE);
} else {
pump->io = io_add_istream(pump->input,
iostream_pump_copy, pump);
io_set_pending(pump->io);
}
}
void o_stream_set_flush_callback(struct ostream *stream,
stream_flush_callback_t *callback,
void *context)
{
struct ostream_private *_stream = stream->real_stream;
_stream->set_flush_callback(_stream, callback, context);
}
// indirect invoked by _stream->set_flush_callback
static void
o_stream_default_set_flush_callback(struct ostream_private *_stream,
stream_flush_callback_t *callback,
void *context)
{
if (_stream->parent != NULL)
o_stream_set_flush_callback(_stream->parent, callback, context);
_stream->callback = callback;
_stream->context = context;
}
the output of make
:
(mkdir -p /data/syx/cfg/mlta/IRDumper/build && cd /data/syx/cfg/mlta/IRDumper/build && PATH=/data/syx/cfg/mlta/IRDumper/../llvm-project/prefix/bin:/data/syx/env/miniconda3/bin:/data/syx/env/miniconda3/condabin:/data/syx/.vscode-server-insiders/cli/servers/Insiders-11bfd76a61a299156a9f3138ecfad70937af3527/server/bin/remote-cli:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/local/cuda/bin:/opt/pycharm-community-2020.2.3/bin:/snap/bin LLVM_ROOT_DIR=/data/syx/cfg/mlta/IRDumper/../llvm-project/prefix/bin LLVM_LIBRARY_DIRS=/data/syx/cfg/mlta/IRDumper/../llvm-project/prefix/lib LLVM_INCLUDE_DIRS=/data/syx/cfg/mlta/IRDumper/../llvm-project/prefix/include CC=clang CXX=clang++ cmake /data/syx/cfg/mlta/IRDumper/src -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_FLAGS_RELEASE="-std=c++14 -fno-rtti -fpic -O3 -v" && make -j) -- Found LLVM 15.0.0git -- Using LLVMConfig.cmake in: /data/syx/cfg/mlta/llvm-project/prefix/lib/cmake/llvm -- Configuring done -- Generating done -- Build files have been written to: /data/syx/cfg/mlta/IRDumper/build make[1]: Entering directory '/data/syx/cfg/mlta/IRDumper/build' make[2]: Entering directory '/data/syx/cfg/mlta/IRDumper/build' make[3]: Entering directory '/data/syx/cfg/mlta/IRDumper/build' make[3]: Leaving directory '/data/syx/cfg/mlta/IRDumper/build' [ 33%] Built target DumperObj make[3]: Entering directory '/data/syx/cfg/mlta/IRDumper/build' make[3]: Entering directory '/data/syx/cfg/mlta/IRDumper/build' make[3]: Leaving directory '/data/syx/cfg/mlta/IRDumper/build' make[3]: Leaving directory '/data/syx/cfg/mlta/IRDumper/build' [ 66%] Built target DumperStatic [100%] Built target Dumper make[2]: Leaving directory '/data/syx/cfg/mlta/IRDumper/build' make[1]: Leaving directory '/data/syx/cfg/mlta/IRDumper/build'
Dear Developers.
I would like to ask if MLTA provides a version of its implementation for C++, which I would like to use to identify virtual functions and candidates.
LLVM's documentation says about runOnModule
:
It should return true if the module was modified by the transformation and false otherwise.
In IRDumper.cpp
, each compiled module is written to a file, yet not modified. Still, the function returns true:
mlta/IRDumper/src/lib/IRDumper.cpp
Line 26 in 587f6c7
Is this on purpose?
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