I followed the quickstart secion of the readme to build the docker image and try to run it on the example binaries.
Building the image worked without issue but when I try to run on the examples, I get the following python Exception:
./run_docker.sh examples fuzzware pipeline --skip-afl-cpufreq pw-recovery/ARCH_PRO
[+] Mapping local dir 'examples' into container
[+] Executing command: ' fuzzware pipeline --skip-afl-cpufreq pw-recovery/ARCH_PRO'
[+] Running with -it
[06-11 09:13:20 INFO] __init__.py - Executing pipeline at 2026-06-11 09:13:20.999497
[06-11 09:13:20 INFO] __init__.py - Got projdir: /home/user/fuzzware/targets/pw-recovery/ARCH_PRO
[06-11 09:13:20 INFO] __init__.py - Could not find 'base_inputs' directory in target base dir, defaulting to generic initial inputs
[06-11 09:13:20 INFO] __init__.py - Performing initial tests
[06-11 09:13:21 INFO] __init__.py - Initial tests successful
[06-11 09:13:21 WARNING] pipeline.py - Found an existing project directory under /home/user/fuzzware/targets/pw-recovery/ARCH_PRO/fuzzware-project. Moving it now
[06-11 09:13:21 WARNING] pipeline.py - Removing old backed up project: /home/user/fuzzware/targets/pw-recovery/ARCH_PRO/fuzzware-project_old
[06-11 09:13:21 INFO] pipeline.py - logging pipeline output to: /home/user/fuzzware/targets/pw-recovery/ARCH_PRO/fuzzware-project/logs/pipeline.log
[06-11 09:13:21 INFO] pipeline.py - Dry-running emulator to check functionality..
[06-11 09:13:21 INFO] run_target.py - Running target with
config path: /home/user/fuzzware/targets/pw-recovery/ARCH_PRO/config.yml
input path: /home/user/fuzzware/targets/pw-recovery/ARCH_PRO/fuzzware-project/.empty_input
Extra args: ['-v']
add_mmio_region called! hooking 0x40000000 - 0x60000000
[FORKSERVER SETUP] It looks like we are not running under AFL, going for single input
[DISCOVERY FORK PARENT] Got number of ticks to step: 694
Ran into instruction limit of 692 at 0x000011ca - exiting
[+] Initial constant execution (including optional prefix input) done, starting input execution.
Running without a fork server
>>> Ran out of fuzz
Exited without crash at 0x00001210 - If no other reason, we ran into one of the limits
[06-11 09:13:21 INFO] pipeline.py - Emulator dry-run successful!
[06-11 09:13:21 INFO] pipeline.py - Adding pipeline level observers
[06-11 09:13:21 INFO] pipeline.py - Initializing worker pool
[06-11 09:13:21 INFO] pool.py - [WorkerPool] Starting redis server
[06-11 09:13:21 WARNING] pool.py - Redis ping returned: True
[06-11 09:13:21 INFO] pool.py - Redis server successfully started on port 32267
[06-11 09:13:21 WARNING] pool.py - Redis ping returned: True
[06-11 09:13:21 INFO] pool.py - [WorkerPool] Spawning additional modeling worker
[06-11 09:13:21 INFO] pool.py - [WorkerPool] enabling logging for modeling worker!
[06-11 09:13:21 INFO] pool.py - [WorkerPool] Spawning additional gen worker
[06-11 09:13:21 INFO] pool.py - [WorkerPool] enabling logging for gen worker!
Traceback (most recent call last):
File "/usr/local/bin/fuzzware", line 33, in <module>
sys.exit(load_entry_point('fuzzware-pipeline', 'console_scripts', 'fuzzware')())
File "/home/user/fuzzware/pipeline/fuzzware_pipeline/__init__.py", line 1070, in main
args.func(args, leftover)
File "/home/user/fuzzware/pipeline/fuzzware_pipeline/__init__.py", line 273, in do_pipeline
pipeline = Pipeline(args.target_dir, args.project_name, args.base_inputs, args.num_local_fuzzer_instances, args.disable_modeling, write_worker_logs=not args.silent_workers, do_full_tracing=args.full_traces, config_name=args.runtime_config_name, timeout_seconds=timeout_seconds, use_aflpp=args.aflpp)
File "/home/user/fuzzware/pipeline/fuzzware_pipeline/pipeline.py", line 265, in __init__
self.worker_pool = WorkerPool(self, write_logs=write_worker_logs)
File "/home/user/fuzzware/pipeline/fuzzware_pipeline/workers/pool.py", line 77, in __init__
self.check_running_procs()
File "/home/user/fuzzware/pipeline/fuzzware_pipeline/workers/pool.py", line 84, in check_running_procs
raise Exception("'{}' worker spawned by WorkerPool is not running anymore".format(queue_name))
Exception: 'modeling' worker spawned by WorkerPool is not running anymore
I followed the quickstart secion of the readme to build the docker image and try to run it on the example binaries.
Building the image worked without issue but when I try to run on the examples, I get the following python Exception:
I am on main branch (6160df4).