1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
|
========
Fuzzing
========
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 maps ~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 targets::
make qemu-fuzz-i386
This builds ``./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::
./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/meson.build``
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. Add the fuzzer to ``tests/qtest/fuzz/meson.build``.
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 one of ::
QEMU_FUZZ_OBJECTS='virtio-net'
QEMU_FUZZ_OBJECTS='virtio*'
QEMU_FUZZ_OBJECTS='virtio* pcspk' # Fuzz the virtio devices and the speaker
QEMU_FUZZ_OBJECTS='*' # 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.
OSS-Fuzz
--------
QEMU is continuously fuzzed on `OSS-Fuzz` __(https://github.com/google/oss-fuzz).
By default, the OSS-Fuzz build will try to fuzz every fuzz-target. Since the
generic-fuzz target requires additional information provided in environment
variables, we pre-define some generic-fuzz configs in
``tests/qtest/fuzz/generic_fuzz_configs.h``. Each config must specify:
- ``.name``: To identify the fuzzer config
- ``.args`` OR ``.argfunc``: A string or pointer to a function returning a
string. These strings are used to specify the ``QEMU_FUZZ_ARGS``
environment variable. ``argfunc`` is useful when the config relies on e.g.
a dynamically created temp directory, or a free tcp/udp port.
- ``.objects``: A string that specifies the ``QEMU_FUZZ_OBJECTS`` environment
variable.
To fuzz additional devices/device configuration on OSS-Fuzz, send patches for
either a new device-specific fuzzer or a new generic-fuzz config.
Build details:
- The Dockerfile that sets up the environment for building QEMU's
fuzzers on OSS-Fuzz can be fund in the OSS-Fuzz repository
__(https://github.com/google/oss-fuzz/blob/master/projects/qemu/Dockerfile)
- The script responsible for building the fuzzers can be found in the
QEMU source tree at ``scripts/oss-fuzz/build.sh``
Implementation Details / Fuzzer 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 ``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:
- 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``
- 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``
|