|
|
CVE-ID | ||
---|---|---|
CVE-2021-37658 |
• CVSS Severity Rating • Fix Information • Vulnerable Software Versions • SCAP Mappings • CPE Information
|
|
Description | ||
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type `tf.raw_ops.MatrixSetDiagV*`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/linalg/matrix_diag_op.cc) has incomplete validation that the value of `k` is a valid tensor. We have check that this value is either a scalar or a vector, but there is no check for the number of elements. If this is an empty tensor, then code that accesses the first element of the tensor is wrong. We have patched the issue in GitHub commit ff8894044dfae5568ecbf2ed514c1a37dc394f1b. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | ||
References | ||
Note: References are provided for the convenience of the reader to help distinguish between vulnerabilities. The list is not intended to be complete. | ||
|
||
Assigning CNA | ||
GitHub (maintainer security advisories) | ||
Date Record Created | ||
20210729 | Disclaimer: The record creation date may reflect when the CVE ID was allocated or reserved, and does not necessarily indicate when this vulnerability was discovered, shared with the affected vendor, publicly disclosed, or updated in CVE. | |
Phase (Legacy) | ||
Assigned (20210729) | ||
Votes (Legacy) | ||
Comments (Legacy) | ||
Proposed (Legacy) | ||
N/A | ||
This is an record on the CVE List, which provides common identifiers for publicly known cybersecurity vulnerabilities. | ||
You can also search by reference using the CVE Reference Maps.
|
||
For More Information: CVE Request Web Form (select "Other" from dropdown) |