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CVE-2022-41897: Fix security vulnerability with FractionalMaxPoolGrad · tensorflow/tensorflow@d71090c

TensorFlow is an open source platform for machine learning. If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

CVE
#vulnerability#mac#git

@@ -632,7 +632,7 @@ def testWhenRepeatedMaxValueInPoolingRegion(self):

def testInvalidSeqRaiseErrorForFractionalMaxPoolGrad(self):

with self.assertRaises(errors.InvalidArgumentError):

with self.cached_session() as _:

with self.cached_session():

overlapping = True

orig_input = constant_op.constant(

.453409232, shape=[1, 7, 13, 1], dtype=dtypes.float32)

@@ -653,6 +653,24 @@ def testInvalidSeqRaiseErrorForFractionalMaxPoolGrad(self):

overlapping=overlapping)

self.evaluate(t)

def testOverLargeSeqRaiseErrorForFractionalMaxPoolGrad(self):

with self.assertRaises(errors.InvalidArgumentError):

with self.cached_session():

overlapping = False

orig_input = [[[[1, 1, 1, 1, 1]]]]

orig_output = [[[[1, 1, 1]]]]

out_backprop = [[[[3], [3], [6]]]]

row_pooling_sequence = [-0x4000000, 1, 1]

col_pooling_sequence = [-0x4000000, 1, 1]

t = gen_nn_ops.FractionalMaxPoolGrad(

orig_input=orig_input,

orig_output=orig_output,

out_backprop=out_backprop,

row_pooling_sequence=row_pooling_sequence,

col_pooling_sequence=col_pooling_sequence,

overlapping=overlapping)

self.evaluate(t)

if __name__ == "__main__":

test.main()

Related news

GHSA-f2w8-jw48-fr7j: `FractionalMaxPoolGrad` Heap out of bounds read

### Impact If [`FractionMaxPoolGrad`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/fractional_max_pool_op.cc) is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. ```python import tensorflow as tf tf.raw_ops.FractionMaxPoolGrad( orig_input = [[[[1, 1, 1, 1, 1]]]], orig_output = [[[[1, 1, 1]]]], out_backprop = [[[[3], [3], [6]]]], row_pooling_sequence = [-0x4000000, 1, 1], col_pooling_sequence = [-0x4000000, 1, 1], overlapping = False ) ``` ### Patches We have patched the issue in GitHub commit [d71090c3e5ca325bdf4b02eb236cfb3ee823e927](https://github.com/tensorflow/tensorflow/commit/d71090c3e5ca325bdf4b02eb236cfb3ee823e927). The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://git...

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