Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29555Division by 0 in `FusedBatchNorm`

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 cause a denial of service via a FPE runtime error in `tf.raw_ops.FusedBatchNorm`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/828f346274841fa7505f7020e88ca36c22e557ab/tensorflow/core/kernels/fused_batch_norm_op.cc#L295-L297) performs a division based on the last dimension of the `x` tensor. Since this is controlled by the user, an attacker can trigger a denial of service. 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-r35g-4525-29fq
PyPItensorflow2.4.2GHSA-r35g-4525-29fq
PyPItensorflow2.1.4GHSA-r35g-4525-29fq
PyPItensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-192
PyPItensorflow2.2.3GHSA-r35g-4525-29fq
PyPItensorflow-cpu2.4.2GHSA-r35g-4525-29fq
PyPItensorflow-cpu2.1.4GHSA-r35g-4525-29fq
PyPItensorflow-cpu2.2.3GHSA-r35g-4525-29fq
PyPItensorflow-cpu2.3.3GHSA-r35g-4525-29fq
PyPItensorflow-cpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-483
PyPItensorflow-gpu2.3.3GHSA-r35g-4525-29fq
PyPItensorflow-gpu2.4.2GHSA-r35g-4525-29fq
PyPItensorflow-gpu2.1.4GHSA-r35g-4525-29fq
PyPItensorflow-gpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-681
PyPItensorflow-gpu2.2.3GHSA-r35g-4525-29fq

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