Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M

CVE-2021-37666Reference binding to nullptr in `RaggedTensorToVariant` in TensorFlow

High 7.8

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 7% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.8High
Exploit odds (30 days)0.2%top 93.1% 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 `tf.raw_ops.RaggedTensorToVariant`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/ragged_tensor_to_variant_op.cc#L129) has an incomplete validation of the splits values, missing the case when the argument would be empty. We have patched the issue in GitHub commit be7a4de6adfbd303ce08be4332554dff70362612. 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-2021-288
PyPItensorflow2.3.4GHSA-w4xf-2pqw-5mq7
PyPItensorflow2.4.3GHSA-w4xf-2pqw-5mq7
PyPItensorflow2.5.1GHSA-w4xf-2pqw-5mq7
PyPItensorflow-cpu2.4.3GHSA-w4xf-2pqw-5mq7
PyPItensorflow-cpu2.3.4, 2.4.3PYSEC-2021-579
PyPItensorflow-cpu2.3.4GHSA-w4xf-2pqw-5mq7
PyPItensorflow-cpu2.5.1GHSA-w4xf-2pqw-5mq7
PyPItensorflow-gpu2.3.4, 2.4.3PYSEC-2021-777
PyPItensorflow-gpu2.3.4GHSA-w4xf-2pqw-5mq7
PyPItensorflow-gpu2.4.3GHSA-w4xf-2pqw-5mq7
PyPItensorflow-gpu2.5.1GHSA-w4xf-2pqw-5mq7

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:H/I:H/A:H

References