[HN Gopher] Fuzz Testing and Fuzz History (2017)
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Fuzz Testing and Fuzz History (2017)
Author : dxs
Score : 22 points
Date : 2022-09-25 00:43 UTC (1 days ago)
(HTM) web link (secretsofconsulting.blogspot.com)
(TXT) w3m dump (secretsofconsulting.blogspot.com)
| aaron695 wrote:
| He also edited Bebugging -
|
| https://en.wikipedia.org/wiki/Bebugging
|
| Passed away 2018
|
| Wiki edits -
| https://en.wikipedia.org/wiki/Special:Contributions/GeraldMW...
|
| Only about a literal fingers on one hand of new things in
| computer science since 1980.
|
| But I have no idea how this could work. What would you learn from
| a random card? How would it not just fault out at step one
| correctly so?
|
| There's even an argument on "Talk" if it's Fuzzing if it's
| random.
|
| It'd be interesting to know what was happening.
|
| Where is there a punch card emulator & punch cards that we can
| try this on?
| dan-robertson wrote:
| Similar to bebugging is mutation testing which is randomly
| mutating a program and then looking for examples which still
| pass tests as an indication of test coverage. Though many may
| be mutations that didn't change semantics if your code is well
| tested.
|
| I tried to hack some mutation testing together in a horrific
| way: I wrote some regexp source-code manipulation to replace
| all constants in the source code with variables and some code
| at the top to read those constants from stdin. Then run the
| tests and segfault if all the tests pass. Then a fuzzer like
| afl can be used to try to find mutations. Though these
| mutations would be relatively trivial (not eg swapping two
| dependant lines of code that lead to a rare race condition, but
| this is why it's good to have a large set of different
| testing/debugging tools).
| shakezula wrote:
| > there's even an argument if it's fuzzing if it's random
|
| One of the most important but oft overlooked aspects of proper
| fuzz testing is the corpus and mutation of the inputs from it.
| Detractors of fuzz testing often argue that they don't see the
| value of it but they load up an empty corpus with a dumb fuzzer
| and wonder why they see thin to no results.
|
| In my experience, you need to properly maintain a corpus to see
| the benefits of fuzz testing, and it's often best to try
| starting from blank as well as from an existing corpus. For
| example, when fuzzing Go, I have used the AFL corpus with good
| results, since it comes preloaded with a bunch of error causing
| inputs.
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