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TODO.md
3
TODO.md
@ -2,8 +2,9 @@
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## Should
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- afl-showmap -f support
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- afl-fuzz multicore wrapper script
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- afl-crash-analysis
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- test cmplog for less than 16bit
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- support persistent and deferred fork server in afl-showmap?
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- better autodetection of shifting runtime timeout values
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- Update afl->pending_not_fuzzed for MOpt
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@ -599,32 +599,40 @@ during fuzzing) and their number, a value between 50-500MB is recommended. You
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can set the cache size (in MB) by setting the environment variable
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`AFL_TESTCACHE_SIZE`.
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There should be one main fuzzer (`-M main-$HOSTNAME` option) and as many
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secondary fuzzers (e.g., `-S variant1`) as you have cores that you use. Every
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`-M`/`-S` entry needs a unique name (that can be whatever), however, the same
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`-o` output directory location has to be used for all instances.
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There should be one main fuzzer (`-M main-$HOSTNAME` option - set also
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`AFL_FINAL_SYNC=1`) and as many secondary fuzzers (e.g., `-S variant1`) as you
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have cores that you use. Every `-M`/`-S` entry needs a unique name (that can be
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whatever), however, the same `-o` output directory location has to be used for
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all instances.
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For every secondary fuzzer there should be a variation, e.g.:
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* one should fuzz the target that was compiled differently: with sanitizers
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activated (`export AFL_USE_ASAN=1 ; export AFL_USE_UBSAN=1 ; export
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AFL_USE_CFISAN=1`)
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* one should fuzz the target that was compiled with sanitizers activated
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(`export AFL_USE_ASAN=1 ; export AFL_USE_UBSAN=1 ; export AFL_USE_CFISAN=1`)
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* one or two should fuzz the target with CMPLOG/redqueen (see above), at least
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one cmplog instance should follow transformations (`-l AT`)
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one cmplog instance should follow transformations (`-l 2AT`)
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* one to three fuzzers should fuzz a target compiled with laf-intel/COMPCOV (see
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above). Important note: If you run more than one laf-intel/COMPCOV fuzzer and
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you want them to share their intermediate results, the main fuzzer (`-M`) must
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be one of them! (Although this is not really recommended.)
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be one of them (although this is not really recommended).
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All other secondaries should be used like this:
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* 10-20% with the MOpt mutator enabled: `-L 0`
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* run with a different power schedule, recommended are: `fast` (default),
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The other secondaries should be run like this:
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* 10% with the MOpt mutator enabled: `-L 0`
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* 10% should use the old queue cycling with `-Z`
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* 50-70% should run with `AFL_DISABLE_TRIM`
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* 40% should run with `-P explore` and 20% with `-P exploit`
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* If you use `-a` then set 30% of the instances to not use `-a`; if you did
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not set `-a` (why??), then set 30% to `-a ascii` and 30% to `-a binary`.
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* run each with a different power schedule, recommended are: `fast` (default),
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`explore`, `coe`, `lin`, `quad`, `exploit`, and `rare` which you can set with
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the `-p` option, e.g., `-p explore`. See the
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[FAQ](FAQ.md#what-are-power-schedules) for details.
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* a few instances should use the old queue cycling with `-Z`
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It can be useful to set `AFL_IGNORE_SEED_PROBLEMS=1` to skip over seeds that
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crash or timeout during startup.
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Also, it is recommended to set `export AFL_IMPORT_FIRST=1` to load test cases
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from other fuzzers in the campaign first.
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from other fuzzers in the campaign first. But note that can slow down the start
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of the first fuzz by quite a lot of you have many fuzzers and/or many seeds.
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If you have a large corpus, a corpus from a previous run or are fuzzing in a CI,
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then also set `export AFL_CMPLOG_ONLY_NEW=1` and `export AFL_FAST_CAL=1`.
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@ -610,6 +610,7 @@ typedef struct afl_state {
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u32 stage_cur, stage_max; /* Stage progression */
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s32 splicing_with; /* Splicing with which test case? */
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s64 smallest_favored; /* smallest queue id favored */
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u32 main_node_id, main_node_max; /* Main instance job splitting */
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@ -942,6 +942,7 @@ void perform_dry_run(afl_state_t *afl) {
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if (!q->was_fuzzed) {
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q->was_fuzzed = 1;
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afl->reinit_table = 1;
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--afl->pending_not_fuzzed;
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--afl->active_items;
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@ -982,6 +983,7 @@ void perform_dry_run(afl_state_t *afl) {
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if (!q->was_fuzzed) {
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q->was_fuzzed = 1;
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afl->reinit_table = 1;
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--afl->pending_not_fuzzed;
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--afl->active_items;
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@ -1113,6 +1115,7 @@ void perform_dry_run(afl_state_t *afl) {
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if (!q->was_fuzzed) {
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q->was_fuzzed = 1;
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afl->reinit_table = 1;
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--afl->pending_not_fuzzed;
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--afl->active_items;
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@ -1291,6 +1294,7 @@ void perform_dry_run(afl_state_t *afl) {
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if (!p->was_fuzzed) {
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p->was_fuzzed = 1;
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afl->reinit_table = 1;
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--afl->pending_not_fuzzed;
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--afl->active_items;
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@ -1311,6 +1315,7 @@ void perform_dry_run(afl_state_t *afl) {
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if (!q->was_fuzzed) {
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q->was_fuzzed = 1;
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afl->reinit_table = 1;
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--afl->pending_not_fuzzed;
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--afl->active_items;
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@ -3442,7 +3442,12 @@ abandon_entry:
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--afl->pending_not_fuzzed;
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afl->queue_cur->was_fuzzed = 1;
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afl->reinit_table = 1;
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if (afl->queue_cur->favored) { --afl->pending_favored; }
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if (afl->queue_cur->favored) {
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--afl->pending_favored;
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afl->smallest_favored = -1;
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}
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}
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@ -5905,7 +5910,13 @@ pacemaker_fuzzing:
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--afl->pending_not_fuzzed;
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afl->queue_cur->was_fuzzed = 1;
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if (afl->queue_cur->favored) { --afl->pending_favored; }
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afl->reinit_table = 1
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if (afl->queue_cur->favored) {
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--afl->pending_favored;
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afl->smallest_favored = -1;
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}
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}
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@ -80,6 +80,7 @@ double compute_weight(afl_state_t *afl, struct queue_entry *q,
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if (unlikely(weight < 0.1)) { weight = 0.1; }
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if (unlikely(q->favored)) { weight *= 5; }
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if (unlikely(!q->was_fuzzed)) { weight *= 2; }
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if (unlikely(q->fs_redundant)) { weight *= 0.8; }
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return weight;
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@ -830,6 +831,8 @@ void cull_queue(afl_state_t *afl) {
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/* Let's see if anything in the bitmap isn't captured in temp_v.
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If yes, and if it has a afl->top_rated[] contender, let's use it. */
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afl->smallest_favored = -1;
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for (i = 0; i < afl->fsrv.map_size; ++i) {
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if (afl->top_rated[i] && (temp_v[i >> 3] & (1 << (i & 7)))) {
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@ -853,7 +856,16 @@ void cull_queue(afl_state_t *afl) {
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afl->top_rated[i]->favored = 1;
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++afl->queued_favored;
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if (!afl->top_rated[i]->was_fuzzed) { ++afl->pending_favored; }
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if (!afl->top_rated[i]->was_fuzzed) {
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++afl->pending_favored;
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if (unlikely(afl->smallest_favored < 0)) {
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afl->smallest_favored = (s64)afl->top_rated[i]->id;
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}
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}
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}
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@ -871,6 +883,8 @@ void cull_queue(afl_state_t *afl) {
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}
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afl->reinit_table = 1;
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}
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/* Calculate case desirability score to adjust the length of havoc fuzzing.
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@ -2369,7 +2369,7 @@ int main(int argc, char **argv_orig, char **envp) {
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} else {
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ACTF("skipping initial seed calibration due option override");
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ACTF("skipping initial seed calibration due option override!");
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usleep(1000);
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}
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@ -2707,23 +2707,53 @@ int main(int argc, char **argv_orig, char **envp) {
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if (likely(!afl->old_seed_selection)) {
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if (unlikely(prev_queued_items < afl->queued_items ||
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afl->reinit_table)) {
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if (likely(afl->pending_favored && afl->smallest_favored >= 0)) {
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// we have new queue entries since the last run, recreate alias table
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prev_queued_items = afl->queued_items;
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create_alias_table(afl);
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afl->current_entry = afl->smallest_favored;
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/*
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} else {
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for (s32 iter = afl->queued_items - 1; iter >= 0; --iter)
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{
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if (unlikely(afl->queue_buf[iter]->favored &&
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!afl->queue_buf[iter]->was_fuzzed)) {
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afl->current_entry = iter;
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break;
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}
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}
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*/
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afl->queue_cur = afl->queue_buf[afl->current_entry];
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} else {
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if (unlikely(prev_queued_items < afl->queued_items ||
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afl->reinit_table)) {
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// we have new queue entries since the last run, recreate alias
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// table
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prev_queued_items = afl->queued_items;
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create_alias_table(afl);
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}
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do {
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afl->current_entry = select_next_queue_entry(afl);
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} while (unlikely(afl->current_entry >= afl->queued_items));
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afl->queue_cur = afl->queue_buf[afl->current_entry];
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}
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do {
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afl->current_entry = select_next_queue_entry(afl);
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} while (unlikely(afl->current_entry >= afl->queued_items));
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afl->queue_cur = afl->queue_buf[afl->current_entry];
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}
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skipped_fuzz = fuzz_one(afl);
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