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Log the number of corpus files before each fuzz target runs, making it easier to assess whether the 30 second time limit is sufficient to replay the full corpus. Also remove the -v flag from honggfuzz to cut down on per-thread status line noise in CI logs. AI tools were used in preparing this commit.
After the regular fuzzing pass, run honggfuzz in minimize mode (-M) on main branch builds. This prunes corpus inputs that don't contribute unique coverage, preventing unbounded cache growth. AI tools were used in preparing this commit.
Instead of a fixed 30s run_time, set iterations to 3x corpus size plus a baseline of 1000. This ensures the full corpus is always replayed with room for new mutations, while small targets finish quickly. A 5 minute hard cap prevents any single target from running too long. AI tools were used in preparing this commit.
Log timestamps at each phase (target verification, write-seeds, honggfuzz install, build, per-target fuzz start/finish, and corpus minimization) to identify where time is spent. AI tools were used in preparing this commit.
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Add quiet flag to both fuzzing and minimization runs to reduce log noise from per-iteration status lines. AI tools were used in preparing this commit.
The sanity check (cargo test on fuzz targets) doesn't use the restored corpus and was blocking the actual fuzz run. Move it to a separate fuzz_sanity job so both run in parallel. AI tools were used in preparing this commit.
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #4497 +/- ##
==========================================
- Coverage 86.19% 86.18% -0.02%
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Files 161 160 -1
Lines 107459 107441 -18
Branches 107459 107441 -18
==========================================
- Hits 92621 92594 -27
- Misses 12219 12227 +8
- Partials 2619 2620 +1
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Target ~30 minutes of total fuzzing time (up from ~12 minutes) by increasing the per-target iteration count from 3x to 8x corpus size. Raise per-target time cap from 5 to 10 minutes. AI tools were used in preparing this commit.
Minimization now runs unconditionally (not just on main) and logs the corpus size after each target is minimized. AI tools were used in preparing this commit.
Show the new corpus count and how many files were added, giving visibility into which targets are discovering new coverage. AI tools were used in preparing this commit.
The default 1s timeout is too short for chanmon_consistency_target, causing inputs to be killed before completion. AI tools were used in preparing this commit.
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