Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29524Division by 0 in `Conv2DBackpropFilter`

Low 2.5

In plain English

A low-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 9% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)2.5Low
Exploit odds (30 days)0.2%top 91.4% 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. An attacker can trigger a division by 0 in `tf.raw_ops.Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/496c2630e51c1a478f095b084329acedb253db6b/tensorflow/core/kernels/conv_grad_shape_utils.cc#L130) does a modulus operation where the divisor is controlled by the caller. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.3.3GHSA-r4pj-74mg-8868
PyPItensorflow2.4.2GHSA-r4pj-74mg-8868
PyPItensorflow2.1.4GHSA-r4pj-74mg-8868
PyPItensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-161
PyPItensorflow2.2.3GHSA-r4pj-74mg-8868
PyPItensorflow-cpu2.4.2GHSA-r4pj-74mg-8868
PyPItensorflow-cpu2.1.4GHSA-r4pj-74mg-8868
PyPItensorflow-cpu2.2.3GHSA-r4pj-74mg-8868
PyPItensorflow-cpu2.3.3GHSA-r4pj-74mg-8868
PyPItensorflow-cpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-452
PyPItensorflow-gpu2.3.3GHSA-r4pj-74mg-8868
PyPItensorflow-gpu2.4.2GHSA-r4pj-74mg-8868
PyPItensorflow-gpu2.1.4GHSA-r4pj-74mg-8868
PyPItensorflow-gpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-650
PyPItensorflow-gpu2.2.3GHSA-r4pj-74mg-8868

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2

Weakness: CWE-369 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

References