CVE-2022-21731

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ConcatV2` can be used to trigger a denial of service attack via a segfault caused by a type confusion. The `axis` argument is translated into `concat_dim` in the `ConcatShapeHelper` helper function. Then, a value for `min_rank` is computed based on `concat_dim`. This is then used to validate that the `values` tensor has at least the required rank. However, `WithRankAtLeast` receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that `min_rank` is a 32-bits value and the value of `axis`, the `rank` argument is a negative value, so the error check is bypassed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

How to fix CVE-2022-21731

To remediate CVE-2022-21731, upgrade the affected package to a fixed version below.

—upgrade to 2.5.3 or later
—upgrade to 2.5.3 or later
—upgrade to 2.5.3 or later
—upgrade to 08d7b00c0a5a20926363849f611729f53f3ec022 or later
—upgrade to 2.5.3 or later
—upgrade to 08d7b00c0a5a20926363849f611729f53f3ec022 or later

Is CVE-2022-21731 being exploited?

Low — EPSS is 0.3%, meaning exploitation activity has not been observed at scale.

Affected packages (6)

from 0, < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1
from 0, < 2.5.3
from 0, < 2.5.3
from 0, < 08d7b00c0a5a20926363849f611729f53f3ec022 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
from 0, < 2.5.3
from 0, < 08d7b00c0a5a20926363849f611729f53f3ec022 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS scores

Source	Version	Severity	Vector
osv	CVSS 4.0	—	CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
osv	CVSS 3.1	MEDIUM6.5	CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H