experiments/STT-tensorflow
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Remove fuzzer which is too small.

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Because the fuzzer is too small, OSSFuzz sees it as broken, as it does not provide enough utility. Since we cover the API in another fuzzer, it's ok to remove this one instead of trying to artifically complicate.

PiperOrigin-RevId: 330572370
Change-Id: I23e80db12e5d2a0caba73346334095476617e554
This commit is contained in:
Mihai Maruseac 2020-09-08 13:16:31 -07:00 committed by TensorFlower Gardener
parent 049fa9d21b
commit caf6ccb3a2
2 changed files with 0 additions and 60 deletions
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9
tensorflow/security/fuzzing/BUILD
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@ -27,15 +27,6 @@ tf_fuzz_target(
],
)
tf_fuzz_target(
name = "consume_non_whitespace_fuzz",
srcs = ["consume_non_whitespace_fuzz.cc"],
deps = [
"//tensorflow/core/platform:str_util",
"//tensorflow/core/platform:stringpiece",
],
)
tf_fuzz_target(
name = "consume_leading_digits_fuzz",
srcs = ["consume_leading_digits_fuzz.cc"],

51
tensorflow/security/fuzzing/consume_non_whitespace_fuzz.cc
View File

@ -1,51 +0,0 @@
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include <cstdint>
#include <cstdlib>
#include "tensorflow/core/platform/str_util.h"
#include "tensorflow/core/platform/stringpiece.h"
// This is a fuzzer for tensorflow::str_util::ConsumeNonWhitespace
namespace {
extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
uint8_t *byte_data = const_cast<uint8_t *>(data);
char *char_data = reinterpret_cast<char *>(byte_data);
tensorflow::StringPiece sp(char_data, size);
tensorflow::StringPiece spe;
while (!sp.empty()) {
const size_t initial_size = sp.size();
(void)initial_size; // "use" initial_size even if assert is disabled
const bool leading_whitespace =
tensorflow::str_util::ConsumeNonWhitespace(&sp, &spe);
if (leading_whitespace) {
assert(!spe.empty());
}
assert(initial_size == (sp.size() + spe.size()));
tensorflow::str_util::RemoveLeadingWhitespace(&sp);
assert(initial_size > sp.size());
}
return 0;
}
} // namespace