Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29522Division by 0 in `Conv3DBackprop*`

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. The `tf.raw_ops.Conv3DBackprop*` operations fail to validate that the input tensors are not empty. In turn, this would result in a division by 0. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a91bb59769f19146d5a0c20060244378e878f140/tensorflow/core/kernels/conv_grad_ops_3d.cc#L430-L450) does not check that the divisor used in computing the shard size is not zero. Thus, if attacker controls the input sizes, they can trigger a denial of service via a division by zero error. 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-c968-pq7h-7fxv
PyPItensorflow2.4.2GHSA-c968-pq7h-7fxv
PyPItensorflow2.1.4GHSA-c968-pq7h-7fxv
PyPItensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-159
PyPItensorflow2.2.3GHSA-c968-pq7h-7fxv
PyPItensorflow-cpu2.4.2GHSA-c968-pq7h-7fxv
PyPItensorflow-cpu2.1.4GHSA-c968-pq7h-7fxv
PyPItensorflow-cpu2.2.3GHSA-c968-pq7h-7fxv
PyPItensorflow-cpu2.3.3GHSA-c968-pq7h-7fxv
PyPItensorflow-cpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-450
PyPItensorflow-gpu2.3.3GHSA-c968-pq7h-7fxv
PyPItensorflow-gpu2.4.2GHSA-c968-pq7h-7fxv
PyPItensorflow-gpu2.1.4GHSA-c968-pq7h-7fxv
PyPItensorflow-gpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-648
PyPItensorflow-gpu2.2.3GHSA-c968-pq7h-7fxv

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