Add American Fuzzy Lop (afl) to third_party/afl/

third_party/afl/src/docs/status_screen.txt

+===============================
+Understanding the status screen
+===============================
+
+  This document provides an overview of the status screen - plus tips for
+  troubleshooting any warnings and red text shown in the UI. See README for
+  the general instruction manual.
+
+0) A note about colors
+----------------------
+
+The status screen and error messages use colors to keep things readable and
+attract your attention to the most important details. For example, red almost
+always means "consult this doc" :-)
+
+Unfortunately, the UI will render correctly only if your terminal is using
+traditional un*x palette (white text on black background) or something close
+to that.
+
+If you are using inverse video, you may want to change your settings, say:
+
+  - For GNOME Terminal, go to Edit > Profile preferences, select the "colors"
+    tab, and from the list of built-in schemes, choose "white on black".
+
+  - For the MacOS X Terminal app, open a new window using the "Pro" scheme via
+    the Shell > New Window menu (or make "Pro" your default).
+
+Alternatively, if you really like your current colors, you can edit config.h
+to comment out USE_COLORS, then do 'make clean all'.
+
+I'm not aware of any other simple way to make this work without causing
+other side effects - sorry about that.
+
+With that out of the way, let's talk about what's actually on the screen...
+
+1) Process timing
+-----------------
+
+  +----------------------------------------------------+
+  |        run time : 0 days, 8 hrs, 32 min, 43 sec    |
+  |   last new path : 0 days, 0 hrs, 6 min, 40 sec     |
+  | last uniq crash : none seen yet                    |
+  |  last uniq hang : 0 days, 1 hrs, 24 min, 32 sec    |
+  +----------------------------------------------------+
+
+This section is fairly self-explanatory: it tells you how long the fuzzer has
+been running and how much time has elapsed since its most recent finds. This is
+broken down into "paths" (a shorthand for test cases that trigger new execution
+patterns), crashes, and hangs.
+
+When it comes to timing: there is no hard rule, but most fuzzing jobs should be
+expected to run for days or weeks; in fact, for a moderately complex project, the
+first pass will probably take a day or so. Every now and then, some jobs
+will be allowed to run for months.
+
+There's one important thing to watch out for: if the tool is not finding new
+paths within several minutes of starting, you're probably not invoking the
+target binary correctly and it never gets to parse the input files we're
+throwing at it; another possible explanations are that the default memory limit
+(-m) is too restrictive, and the program exits after failing to allocate a
+buffer very early on; or that the input files are patently invalid and always
+fail a basic header check.
+
+If there are no new paths showing up for a while, you will eventually see a big
+red warning in this section, too :-)
+
+2) Overall results
+------------------
+
+  +-----------------------+
+  |  cycles done : 0      |
+  |  total paths : 2095   |
+  | uniq crashes : 0      |
+  |   uniq hangs : 19     |
+  +-----------------------+
+
+The first field in this section gives you the count of queue passes done so far
+- that is, the number of times the fuzzer went over all the interesting test
+cases discovered so far, fuzzed them, and looped back to the very beginning.
+Every fuzzing session should be allowed to complete at least one cycle; and
+ideally, should run much longer than that.
+
+As noted earlier, the first pass can take a day or longer, so sit back and
+relax. If you want to get broader but more shallow coverage right away, try
+the -d option - it gives you a more familiar experience by skipping the
+deterministic fuzzing steps. It is, however, inferior to the standard mode in
+a couple of subtle ways.
+
+To help make the call on when to hit Ctrl-C, the cycle counter is color-coded.
+It is shown in magenta during the first pass, progresses to yellow if new finds
+are still being made in subsequent rounds, then blue when that ends - and
+finally, turns green after the fuzzer hasn't been seeing any action for a
+longer while.
+
+The remaining fields in this part of the screen should be pretty obvious:
+there's the number of test cases ("paths") discovered so far, and the number of
+unique faults. The test cases, crashes, and hangs can be explored in real-time
+by browsing the output directory, as discussed in the README.
+
+3) Cycle progress
+-----------------
+
+  +-------------------------------------+
+  |  now processing : 1296 (61.86%)     |
+  | paths timed out : 0 (0.00%)         |
+  +-------------------------------------+
+
+This box tells you how far along the fuzzer is with the current queue cycle: it
+shows the ID of the test case it is currently working on, plus the number of
+inputs it decided to ditch because they were persistently timing out.
+
+The "*" suffix sometimes shown in the first line means that the currently
+processed path is not "favored" (a property discussed later on, in section 6).
+
+If you feel that the fuzzer is progressing too slowly, see the note about the
+-d option in section 2 of this doc.
+
+4) Map coverage
+---------------
+
+  +--------------------------------------+
+  |    map density : 4763 (29.07%)       |
+  | count coverage : 4.03 bits/tuple     |
+  +--------------------------------------+
+
+The section provides some trivia about the coverage observed by the
+instrumentation embedded in the target binary.
+
+The first line in the box tells you how many branch tuples we have already
+hit, in proportion to how much the bitmap can hold. Be wary of extremes:
+
+  - Absolute numbers below 200 or so suggest one of three things: that the
+    program is extremely simple; that it is not instrumented properly (e.g.,
+    due to being linked against a non-instrumented copy of the target
+    library); or that it is bailing out prematurely on your input test cases.
+    The fuzzer will try to mark this in pink, just to make you aware.
+
+  - Percentages over 70% may very rarely happen with very complex programs
+    that make heavy use of template-generated code.
+
+    Because high bitmap density makes it harder for the fuzzer to reliably
+    discern new program states, I recommend recompiling the binary with
+    AFL_INST_RATIO=10 or so and trying again (see env_variables.txt).
+
+    The fuzzer will flag high percentages in red. Chances are, you will never
+    see that unless you're fuzzing extremely hairy software (say, v8, perl,
+    ffmpeg).
+
+The other line deals with the variability in tuple hit counts seen in the
+binary. In essence, if every taken branch is always taken a fixed number of
+times for all the inputs we have tried, this will read "1.00". As we manage
+to trigger other hit counts for every branch, the needle will start to move
+toward "8.00" (every bit in the 8-bit map hit), but will probably never
+reach that extreme.
+
+Together, the values can be useful for comparing the coverage of several
+different fuzzing jobs that rely on the same instrumented binary.
+
+5) Stage progress
+-----------------
+
+  +-------------------------------------+
+  |  now trying : interest 32/8         |
+  | stage execs : 3996/34.4k (11.62%)   |
+  | total execs : 27.4M                 |
+  |  exec speed : 891.7/sec             |
+  +-------------------------------------+
+
+This part gives you an in-depth peek at what the fuzzer is actually doing right
+now. It tells you about the current stage, which can be any of:
+
+  - calibration - a pre-fuzzing stage where the execution path is examined
+    to detect anomalies, establish baseline execution speed, and so on. Executed
+    very briefly whenever a new find is being made.
+
+  - trim L/S - another pre-fuzzing stage where the test case is trimmed to the
+    shortest form that still produces the same execution path. The length (L)
+    and stepover (S) are chosen in general relationship to file size.
+
+  - bitflip L/S - deterministic bit flips. There are L bits toggled at any given
+    time, walking the input file with S-bit increments. The current L/S variants
+    are: 1/1, 2/1, 4/1, 8/8, 16/8, 32/8.
+
+  - arith L/8 - deterministic arithmetics. The fuzzer tries to subtract or add
+    small integers to 8-, 16-, and 32-bit values. The stepover is always 8 bits.
+
+  - interest L/8 - deterministic value overwrite. The fuzzer has a list of known
+    "interesting" 8-, 16-, and 32-bit values to try. The stepover is 8 bits.
+
+  - extras - deterministic injection of dictionary terms. This can be shown as
+    "user" or "auto", depending on whether the fuzzer is using a user-supplied
+    dictionary (-x) or an auto-created one. You will also see "over" or "insert",
+    depending on whether the dictionary words overwrite existing data or are
+    inserted by offsetting the remaining data to accommodate their length.
+
+  - havoc - a sort-of-fixed-length cycle with stacked random tweaks. The
+    operations attempted during this stage include bit flips, overwrites with
+    random and "interesting" integers, block deletion, block duplication, plus
+    assorted dictionary-related operations (if a dictionary is supplied in the
+    first place).
+
+  - splice - a last-resort strategy that kicks in after the first full queue
+    cycle with no new paths. It is equivalent to 'havoc', except that it first
+    splices together two random inputs from the queue at some arbitrarily
+    selected midpoint.
+
+  - sync - a stage used only when -M or -S is set (see parallel_fuzzing.txt).
+    No real fuzzing is involved, but the tool scans the output from other
+    fuzzers and imports test cases as necessary. The first time this is done,
+    it may take several minutes or so.
+
+The remaining fields should be fairly self-evident: there's the exec count
+progress indicator for the current stage, a global exec counter, and a
+benchmark for the current program execution speed. This may fluctuate from
+one test case to another, but the benchmark should be ideally over 500 execs/sec
+most of the time - and if it stays below 100, the job will probably take very
+long.
+
+The fuzzer will explicitly warn you about slow targets, too. If this happens,
+see the perf_tips.txt file included with the fuzzer for ideas on how to speed
+things up.
+
+6) Findings in depth
+--------------------
+
+  +--------------------------------------+
+  | favored paths : 879 (41.96%)         |
+  |  new edges on : 423 (20.19%)         |
+  | total crashes : 0 (0 unique)         |
+  |   total hangs : 24 (19 unique)       |
+  +--------------------------------------+
+
+This gives you several metrics that are of interest mostly to complete nerds.
+The section includes the number of paths that the fuzzer likes the most based
+on a minimization algorithm baked into the code (these will get considerably
+more air time), and the number of test cases that actually resulted in better
+edge coverage (versus just pushing the branch hit counters up). There are also
+additional, more detailed counters for crashes and hangs.
+
+7) Fuzzing strategy yields
+--------------------------
+
+  +-----------------------------------------------------+
+  |   bit flips : 57/289k, 18/289k, 18/288k             |
+  |  byte flips : 0/36.2k, 4/35.7k, 7/34.6k             |
+  | arithmetics : 53/2.54M, 0/537k, 0/55.2k             |
+  |  known ints : 8/322k, 12/1.32M, 10/1.70M            |
+  |  dictionary : 9/52k, 1/53k, 1/24k                   |
+  |       havoc : 1903/20.0M, 0/0                       |
+  |        trim : 20.31%/9201, 17.05%                   |
+  +-----------------------------------------------------+
+
+This is just another nerd-targeted section keeping track of how many paths we
+have netted, in proportion to the number of execs attempted, for each of the
+fuzzing strategies discussed earlier on. This serves to convincingly validate
+assumptions about the usefulness of the various approaches taken by afl-fuzz.
+
+The trim strategy stats in this section are a bit different than the rest.
+The first number in this line shows the ratio of bytes removed from the input
+files; the second one corresponds to the number of execs needed to achieve this
+goal. Finally, the third number shows the proportion of bytes that, although
+not possible to remove, were deemed to have no effect and were excluded from
+some of the more expensive deterministic fuzzing steps.
+
+8) Path geometry
+----------------
+
+  +---------------------+
+  |    levels : 5       |
+  |   pending : 1570    |
+  |  pend fav : 583     |
+  | own finds : 0       |
+  |  imported : 0       |
+  |  variable : 0       |
+  +---------------------+
+
+The first field in this section tracks the path depth reached through the
+guided fuzzing process. In essence: the initial test cases supplied by the
+user are considered "level 1". The test cases that can be derived from that
+through traditional fuzzing are considered "level 2"; the ones derived by
+using these as inputs to subsequent fuzzing rounds are "level 3"; and so forth.
+The maximum depth is therefore a rough proxy for how much value you're getting
+out of the instrumentation-guided approach taken by afl-fuzz.
+
+The next field shows you the number of inputs that have not gone through any
+fuzzing yet. The same stat is also given for "favored" entries that the fuzzer
+really wants to get to in this queue cycle (the non-favored entries may have to
+wait a couple of cycles to get their chance).
+
+Next, we have the number of new paths found during this fuzzing section and
+imported from other fuzzer instances when doing parallelized fuzzing; and the
+number of inputs that produce seemingly variable behavior in the tested binary.
+
+That last bit is actually fairly interesting. There are four quasi-common
+explanations for variable behavior of the tested program:
+
+  - Use of uninitialized memory in conjunction with some intrinsic sources of
+    entropy in the tested binary. This can be indicative of a security bug.
+
+  - Attempts to create files that were already created during previous runs, or
+    otherwise interact with some form of persistent state. This is harmless,
+    but you may want to instruct the targeted program to write to stdout or to
+    /dev/null to avoid surprises (and disable the creation of temporary files
+    and similar artifacts, if applicable).
+
+  - Hitting functionality that is actually designed to behave randomly. For
+    example, when fuzzing sqlite, the fuzzer will dutifully detect variable
+    behavior once the mutation engine generates something like:
+
+    select random();
+
+  - Multiple threads executing at once in semi-random order. This is usually
+    just a nuisance, but if the number of variable paths is very high, try the
+    following options:
+
+    - Use afl-clang-fast from llvm_mode/ - it uses a thread-local tracking
+      model that is less prone to concurrency issues,
+
+    - See if the target can be compiled or run without threads. Common
+      ./configure options include --without-threads, --disable-pthreads, or
+      --disable-openmp.
+
+    - Replace pthreads with GNU Pth (https://www.gnu.org/software/pth/), which
+      allows you to use a deterministic scheduler.
+
+Less likely causes may include running out of disk space, SHM handles, or other
+globally limited resources.
+
+The paths where variable behavior is detected are marked with a matching entry
+in the <out_dir>/queue/.state/variable_behavior/ directory, so you can look
+them up easily.
+
+If you can't suppress variable behavior and don't want to see these warnings,
+simply set AFL_NO_VAR_CHECK=1 in the environment before running afl-fuzz. This
+will also dramatically speed up session resumption.
+
+9) CPU load
+-----------
+
+  [cpu: 25%]
+
+This tiny widget shows the apparent CPU utilization on the local system. It is
+calculated by taking the number of processes in the "runnable" state, and then
+comparing it to the number of logical cores on the system.
+
+If the value is shown in green, you are using fewer CPU cores than available on
+your system and can probably parallelize to improve performance; for tips on
+how to do that, see parallel_fuzzing.txt.
+
+If the value is shown in red, your CPU is *possibly* oversubscribed, and
+running additional fuzzers may not give you any benefits.
+
+Of course, this benchmark is very simplistic; it tells you how many processes
+are ready to run, but not how resource-hungry they may be. It also doesn't
+distinguish between physical cores, logical cores, and virtualized CPUs; the
+performance characteristics of each of these will differ quite a bit.
+
+If you want a more accurate measurement, you can run the afl-gotcpu utility
+from the command line.
+
+10) Addendum: status and plot files
+-----------------------------------
+
+For unattended operation, some of the key status screen information can be also
+found in a machine-readable format in the fuzzer_stats file in the output
+directory. This includes:
+
+  - start_time     - unix time indicating the start time of afl-fuzz
+  - last_update    - unix time corresponding to the last update of this file
+  - fuzzer_pid     - PID of the fuzzer process
+  - cycles_done    - queue cycles completed so far
+  - execs_done     - number of execve() calls attempted
+  - execs_per_sec  - current number of execs per second
+  - paths_total    - total number of entries in the queue
+  - paths_found    - number of entries discovered through local fuzzing
+  - paths_imported - number of entries imported from other instances
+  - max_depth      - number of levels in the generated data set
+  - cur_path       - currently processed entry number
+  - pending_favs   - number of favored entries still waiting to be fuzzed
+  - pending_total  - number of all entries waiting to be fuzzed
+  - variable_paths - number of test cases showing variable behavior
+  - unique_crashes - number of unique crashes recorded
+  - unique_hangs   - number of unique hangs encountered
+
+Most of these map directly to the UI elements discussed earlier on.
+
+On top of that, you can also find an entry called 'plot_data', containing a
+plottable history for most of these fields. If you have gnuplot installed, you
+can turn this into a nice progress report with the included 'afl-plot' tool.