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Diffstat (limited to 'docs/afl-fuzz_approach.md')
| -rw-r--r-- | docs/afl-fuzz_approach.md | 11 |
1 files changed, 6 insertions, 5 deletions
diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index 01888935..2da61cc4 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -468,7 +468,8 @@ cd ../../ sudo make install ``` -To learn more about remote monitoring and metrics visualization with StatsD, see [rpc_statsd.md](rpc_statsd.md). +To learn more about remote monitoring and metrics visualization with StatsD, see +[rpc_statsd.md](rpc_statsd.md). ### Addendum: status and plot files @@ -524,9 +525,9 @@ into each of them or deploy scripts to read the fuzzer statistics. Using `AFL_STATSD` (and the other related environment variables `AFL_STATSD_HOST`, `AFL_STATSD_PORT`, `AFL_STATSD_TAGS_FLAVOR`) you can automatically send metrics to your favorite StatsD server. Depending on your StatsD server, you will be -able to monitor, trigger alerts, or perform actions based on these metrics (e.g: -alert on slow exec/s for a new build, threshold of crashes, time since last -crash > X, etc.). +able to monitor, trigger alerts, or perform actions based on these metrics +(e.g.: alert on slow exec/s for a new build, threshold of crashes, time since +last crash > X, etc.). The selected metrics are a subset of all the metrics found in the status and in the plot file. The list is the following: `cycle_done`, `cycles_wo_finds`, @@ -537,6 +538,6 @@ the plot file. The list is the following: `cycle_done`, `cycles_wo_finds`, definitions can be found in the addendum above. When using multiple fuzzer instances with StatsD, it is *strongly* recommended -to setup the flavor (AFL_STATSD_TAGS_FLAVOR) to match your StatsD server. This +to setup the flavor (`AFL_STATSD_TAGS_FLAVOR`) to match your StatsD server. This will allow you to see individual fuzzer performance, detect bad ones, see the progress of each strategy... \ No newline at end of file |