CVE-2022-23583

Description

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. 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-2022-23583

To remediate CVE-2022-23583, 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 a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9 or later
—upgrade to 2.5.3 or later
—upgrade to a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9 or later

Is CVE-2022-23583 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, < a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
from 0, < 2.5.3
from 0, < a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS scores

Source	Version	Severity	Vector
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