CVE-2021-29537

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. 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-2021-29537

To remediate CVE-2021-29537, 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 f6c40f0c6cbf00d46c7717a26419f2062f2f8694 or later
—upgrade to f6c40f0c6cbf00d46c7717a26419f2062f2f8694 or later
—upgrade to 2.1.4 or later
—upgrade to f6c40f0c6cbf00d46c7717a26419f2062f2f8694 or later
—upgrade to 2.1.4 or later

Is CVE-2021-29537 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, < f6c40f0c6cbf00d46c7717a26419f2062f2f8694 | 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, < f6c40f0c6cbf00d46c7717a26419f2062f2f8694 | 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, < f6c40f0c6cbf00d46c7717a26419f2062f2f8694 | 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