CVE-2021-37689

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service. This is caused by the MLIR optimization of `L2NormalizeReduceAxis` operator. The [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/compiler/mlir/lite/transforms/optimize.cc#L67-L70) unconditionally dereferences a pointer to an iterator to a vector without checking that the vector has elements. We have patched the issue in GitHub commit d6b57f461b39fd1aa8c1b870f1b974aac3554955. 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.

How to fix CVE-2021-37689

To remediate CVE-2021-37689, upgrade the affected package to a fixed version below.

—upgrade to 2.3.4 or later
—upgrade to 2.3.4 or later
—upgrade to d6b57f461b39fd1aa8c1b870f1b974aac3554955 or later
—upgrade to d6b57f461b39fd1aa8c1b870f1b974aac3554955 or later
—upgrade to 2.3.4 or later
—upgrade to d6b57f461b39fd1aa8c1b870f1b974aac3554955 or later
—upgrade to 2.3.4 or later

Is CVE-2021-37689 being exploited?

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

Affected packages (7)

>= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1
from 0, < 2.3.4
from 0, < d6b57f461b39fd1aa8c1b870f1b974aac3554955 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
from 0, < d6b57f461b39fd1aa8c1b870f1b974aac3554955 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
from 0, < 2.3.4
from 0, < d6b57f461b39fd1aa8c1b870f1b974aac3554955 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
from 0, < 2.3.4

CVSS scores

Source	Version	Severity	Vector
osv	CVSS 4.0	—	CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
osv	CVSS 3.1	HIGH7.8	CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H