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-= Fuzzing =
-
-== Introduction ==
-
-This document describes the virtual-device fuzzing infrastructure in QEMU and
-how to use it to implement additional fuzzers.
-
-== Basics ==
-
-Fuzzing operates by passing inputs to an entry point/target function. The
-fuzzer tracks the code coverage triggered by the input. Based on these
-findings, the fuzzer mutates the input and repeats the fuzzing.
-
-To fuzz QEMU, we rely on libfuzzer. Unlike other fuzzers such as AFL, libfuzzer
-is an _in-process_ fuzzer. For the developer, this means that it is their
-responsibility to ensure that state is reset between fuzzing-runs.
-
-== Building the fuzzers ==
-
-NOTE: If possible, build a 32-bit binary. When forking, the 32-bit fuzzer is
-much faster, since the page-map has a smaller size. This is due to the fact that
-AddressSanitizer mmaps ~20TB of memory, as part of its detection. This results
-in a large page-map, and a much slower fork().
-
-To build the fuzzers, install a recent version of clang:
-Configure with (substitute the clang binaries with the version you installed).
-Here, enable-sanitizers, is optional but it allows us to reliably detect bugs
-such as out-of-bounds accesses, use-after-frees, double-frees etc.
-
- CC=clang-8 CXX=clang++-8 /path/to/configure --enable-fuzzing \
- --enable-sanitizers
-
-Fuzz targets are built similarly to system/softmmu:
-
- make i386-softmmu/fuzz
-
-This builds ./i386-softmmu/qemu-fuzz-i386
-
-The first option to this command is: --fuzz-target=FUZZ_NAME
-To list all of the available fuzzers run qemu-fuzz-i386 with no arguments.
-
-For example:
- ./i386-softmmu/qemu-fuzz-i386 --fuzz-target=virtio-scsi-fuzz
-
-Internally, libfuzzer parses all arguments that do not begin with "--".
-Information about these is available by passing -help=1
-
-Now the only thing left to do is wait for the fuzzer to trigger potential
-crashes.
-
-== Useful libFuzzer flags ==
-
-As mentioned above, libFuzzer accepts some arguments. Passing -help=1 will list
-the available arguments. In particular, these arguments might be helpful:
-
-$CORPUS_DIR/ : Specify a directory as the last argument to libFuzzer. libFuzzer
-stores each "interesting" input in this corpus directory. The next time you run
-libFuzzer, it will read all of the inputs from the corpus, and continue fuzzing
-from there. You can also specify multiple directories. libFuzzer loads existing
-inputs from all specified directories, but will only write new ones to the
-first one specified.
-
--max_len=4096 : specify the maximum byte-length of the inputs libFuzzer will
-generate.
-
--close_fd_mask={1,2,3} : close, stderr, or both. Useful for targets that
-trigger many debug/error messages, or create output on the serial console.
-
--jobs=4 -workers=4 : These arguments configure libFuzzer to run 4 fuzzers in
-parallel (4 fuzzing jobs in 4 worker processes). Alternatively, with only
--jobs=N, libFuzzer automatically spawns a number of workers less than or equal
-to half the available CPU cores. Replace 4 with a number appropriate for your
-machine. Make sure to specify a $CORPUS_DIR, which will allow the parallel
-fuzzers to share information about the interesting inputs they find.
-
--use_value_profile=1 : For each comparison operation, libFuzzer computes
-(caller_pc&4095) | (popcnt(Arg1 ^ Arg2) << 12) and places this in the coverage
-table. Useful for targets with "magic" constants. If Arg1 came from the fuzzer's
-input and Arg2 is a magic constant, then each time the Hamming distance
-between Arg1 and Arg2 decreases, libFuzzer adds the input to the corpus.
-
--shrink=1 : Tries to make elements of the corpus "smaller". Might lead to
-better coverage performance, depending on the target.
-
-Note that libFuzzer's exact behavior will depend on the version of
-clang and libFuzzer used to build the device fuzzers.
-
-== Generating Coverage Reports ==
-Code coverage is a crucial metric for evaluating a fuzzer's performance.
-libFuzzer's output provides a "cov: " column that provides a total number of
-unique blocks/edges covered. To examine coverage on a line-by-line basis we
-can use Clang coverage:
-
- 1. Configure libFuzzer to store a corpus of all interesting inputs (see
- CORPUS_DIR above)
- 2. ./configure the QEMU build with:
- --enable-fuzzing \
- --extra-cflags="-fprofile-instr-generate -fcoverage-mapping"
- 3. Re-run the fuzzer. Specify $CORPUS_DIR/* as an argument, telling libfuzzer
- to execute all of the inputs in $CORPUS_DIR and exit. Once the process
- exits, you should find a file, "default.profraw" in the working directory.
- 4. Execute these commands to generate a detailed HTML coverage-report:
- llvm-profdata merge -output=default.profdata default.profraw
- llvm-cov show ./path/to/qemu-fuzz-i386 -instr-profile=default.profdata \
- --format html -output-dir=/path/to/output/report
-
-== Adding a new fuzzer ==
-Coverage over virtual devices can be improved by adding additional fuzzers.
-Fuzzers are kept in tests/qtest/fuzz/ and should be added to
-tests/qtest/fuzz/Makefile.include
-
-Fuzzers can rely on both qtest and libqos to communicate with virtual devices.
-
-1. Create a new source file. For example ``tests/qtest/fuzz/foo-device-fuzz.c``.
-
-2. Write the fuzzing code using the libqtest/libqos API. See existing fuzzers
-for reference.
-
-3. Register the fuzzer in ``tests/fuzz/Makefile.include`` by appending the
-corresponding object to fuzz-obj-y
-
-Fuzzers can be more-or-less thought of as special qtest programs which can
-modify the qtest commands and/or qtest command arguments based on inputs
-provided by libfuzzer. Libfuzzer passes a byte array and length. Commonly the
-fuzzer loops over the byte-array interpreting it as a list of qtest commands,
-addresses, or values.
-
-== The Generic Fuzzer ==
-Writing a fuzz target can be a lot of effort (especially if a device driver has
-not be built-out within libqos). Many devices can be fuzzed to some degree,
-without any device-specific code, using the generic-fuzz target.
-
-The generic-fuzz target is capable of fuzzing devices over their PIO, MMIO,
-and DMA input-spaces. To apply the generic-fuzz to a device, we need to define
-two env-variables, at minimum:
-
-QEMU_FUZZ_ARGS= is the set of QEMU arguments used to configure a machine, with
-the device attached. For example, if we want to fuzz the virtio-net device
-attached to a pc-i440fx machine, we can specify:
-QEMU_FUZZ_ARGS="-M pc -nodefaults -netdev user,id=user0 \
- -device virtio-net,netdev=user0"
-
-QEMU_FUZZ_OBJECTS= is a set of space-delimited strings used to identify the
-MemoryRegions that will be fuzzed. These strings are compared against
-MemoryRegion names and MemoryRegion owner names, to decide whether each
-MemoryRegion should be fuzzed. These strings support globbing. For the
-virtio-net example, we could use QEMU_FUZZ_OBJECTS=
- * 'virtio-net'
- * 'virtio*'
- * 'virtio* pcspk' (Fuzz the virtio devices and the PC speaker...)
- * '*' (Fuzz the whole machine)
-
-The "info mtree" and "info qom-tree" monitor commands can be especially useful
-for identifying the MemoryRegion and Object names used for matching.
-
-As a generic rule-of-thumb, the more MemoryRegions/Devices we match, the greater
-the input-space, and the smaller the probability of finding crashing inputs for
-individual devices. As such, it is usually a good idea to limit the fuzzer to
-only a few MemoryRegions.
-
-To ensure that these env variables have been configured correctly, we can use:
-
-./qemu-fuzz-i386 --fuzz-target=generic-fuzz -runs=0
-
-The output should contain a complete list of matched MemoryRegions.
-
-= Implementation Details =
-
-== The Fuzzer's Lifecycle ==
-
-The fuzzer has two entrypoints that libfuzzer calls. libfuzzer provides it's
-own main(), which performs some setup, and calls the entrypoints:
-
-LLVMFuzzerInitialize: called prior to fuzzing. Used to initialize all of the
-necessary state
-
-LLVMFuzzerTestOneInput: called for each fuzzing run. Processes the input and
-resets the state at the end of each run.
-
-In more detail:
-
-LLVMFuzzerInitialize parses the arguments to the fuzzer (must start with two
-dashes, so they are ignored by libfuzzer main()). Currently, the arguments
-select the fuzz target. Then, the qtest client is initialized. If the target
-requires qos, qgraph is set up and the QOM/LIBQOS modules are initialized.
-Then the QGraph is walked and the QEMU cmd_line is determined and saved.
-
-After this, the vl.c:qemu__main is called to set up the guest. There are
-target-specific hooks that can be called before and after qemu_main, for
-additional setup(e.g. PCI setup, or VM snapshotting).
-
-LLVMFuzzerTestOneInput: Uses qtest/qos functions to act based on the fuzz
-input. It is also responsible for manually calling the main loop/main_loop_wait
-to ensure that bottom halves are executed and any cleanup required before the
-next input.
-
-Since the same process is reused for many fuzzing runs, QEMU state needs to
-be reset at the end of each run. There are currently two implemented
-options for resetting state:
-1. Reboot the guest between runs.
- Pros: Straightforward and fast for simple fuzz targets.
- Cons: Depending on the device, does not reset all device state. If the
- device requires some initialization prior to being ready for fuzzing
- (common for QOS-based targets), this initialization needs to be done after
- each reboot.
- Example target: i440fx-qtest-reboot-fuzz
-2. Run each test case in a separate forked process and copy the coverage
- information back to the parent. This is fairly similar to AFL's "deferred"
- fork-server mode [3]
- Pros: Relatively fast. Devices only need to be initialized once. No need
- to do slow reboots or vmloads.
- Cons: Not officially supported by libfuzzer. Does not work well for devices
- that rely on dedicated threads.
- Example target: virtio-net-fork-fuzz