Comments (3)
Hi there,
the only occasion we've seen this so far is when running out of memory. Can you check whether this is the case for you? If so, you can try to supply less crashing/non-crashing inputs.
from aurora.
Hi there,
the only occasion we've seen this so far is when running out of memory. Can you check whether this is the case for you? If so, you can try to supply less crashing/non-crashing inputs.
It seems like running out of memory.
In the previous time, I ran the AFL for 12 hours, and it produced (12378 files in 2 subdirs at /home/user/evaluation/inputs
crashes + no_crashes);
Now, I run the AFL for 3 minutes, and it produces(1294 files in 2 subdirs at /home/user/evaluation/inputs
crashes + no_crashes).
So that, for the limitation of memory, should I take care of the AFL running time? how long will be better or how many crashing/non-crashing inputs should I supply?
Thanks!
from aurora.
Yeah, either you run AFL for less time or you randomly sample a subset of inputs from the large set you already produced in the 12h run (if you happen to have these inputs still lying around).
I'd suggest to supply as many inputs as your machine can handle RAM-wise, as more inputs yield better predicates. I can't give you precise numbers here as we haven't really looked into the RAM consumption in detail.
from aurora.
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