Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M

CVE-2021-37658Reference binding to nullptr in `MatrixSetDiagV*` ops in TensorFlow

High 7.1

In plain English

A high-severity security flaw in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 6% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.1High
Exploit odds (30 days)0.2%top 93.9% of all CVEs
Exploited in the wildNo reportsnot in CISA KEV
Attack toolingNoneno public tooling known

Official 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.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.3.4, 2.4.3PYSEC-2021-280
PyPItensorflow2.3.4GHSA-6p5r-g9mq-ggh2
PyPItensorflow2.4.3GHSA-6p5r-g9mq-ggh2
PyPItensorflow2.5.1GHSA-6p5r-g9mq-ggh2
PyPItensorflow-cpu2.4.3GHSA-6p5r-g9mq-ggh2
PyPItensorflow-cpu2.3.4, 2.4.3PYSEC-2021-571
PyPItensorflow-cpu2.3.4GHSA-6p5r-g9mq-ggh2
PyPItensorflow-cpu2.5.1GHSA-6p5r-g9mq-ggh2
PyPItensorflow-gpu2.3.4, 2.4.3PYSEC-2021-769
PyPItensorflow-gpu2.3.4GHSA-6p5r-g9mq-ggh2
PyPItensorflow-gpu2.4.3GHSA-6p5r-g9mq-ggh2
PyPItensorflow-gpu2.5.1GHSA-6p5r-g9mq-ggh2

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.5.0, < 2.5.1>= 2.4.0, < 2.4.3< 2.3.4

Weakness: CWE-824 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H

References