CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS
Percentile
42.0%
An input sparse_matrix
that is not a matrix with a shape with rank 0 will trigger a CHECK
fail in tf.raw_ops.SparseMatrixNNZ
.
import tensorflow as tf
tf.raw_ops.SparseMatrixNNZ(sparse_matrix=[])
We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by Kang Hong Jin
github.com/advisories/GHSA-g9fm-r5mm-rf9f
github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse/sparse_matrix.h
github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1e9f5d693
github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9f
nvd.nist.gov/vuln/detail/CVE-2022-41901