CVE-2021-29546

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by zero undefined behavior in `tf.raw_ops.QuantizedBiasAdd`. This is because the implementation of the Eigen kernel(https://github.com/tensorflow/tensorflow/blob/61bca8bd5ba8a68b2d97435ddfafcdf2b85672cd/tensorflow/core/kernels/quantization_utils.h#L812-L849) does a division by the number of elements of the smaller input (based on shape) without checking that this is not zero. 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.

How to fix CVE-2021-29546

To remediate CVE-2021-29546, upgrade the affected package to a fixed version below.

—upgrade to 2.1.4 or later
—upgrade to 2.1.4 or later
—upgrade to 67784700869470d65d5f2ef20aeb5e97c31673cb or later
—upgrade to 67784700869470d65d5f2ef20aeb5e97c31673cb or later
—upgrade to 2.1.4 or later
—upgrade to 67784700869470d65d5f2ef20aeb5e97c31673cb or later
—upgrade to 2.1.4 or later

Is CVE-2021-29546 being exploited?

Low — EPSS is 0.0%, meaning exploitation activity has not been observed at scale.

Affected packages (7)

from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
from 0, < 2.1.4
from 0, < 67784700869470d65d5f2ef20aeb5e97c31673cb | from 0, < 2.2.0rc0, >= 2.2.0, < 2.3.0rc0, >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
from 0, < 67784700869470d65d5f2ef20aeb5e97c31673cb | from 0, < 2.2.0rc0, >= 2.2.0, < 2.3.0rc0, >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
from 0, < 2.1.4
from 0, < 67784700869470d65d5f2ef20aeb5e97c31673cb | from 0, < 2.2.0rc0, >= 2.2.0, < 2.3.0rc0, >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
from 0, < 2.1.4

CVSS scores

Source	Version	Severity	Vector
osv	CVSS 4.0	—	CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N
osv	CVSS 3.1	LOW2.5	CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L