CVE-2022-21727
Integer overflow in Tensorflow
Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. 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-2022-21727
To remediate CVE-2022-21727, 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 b64638ec5ccaa77b7c1eb90958e3d85ce381f91b or later
- —upgrade to 2.5.3 or later
- —upgrade to b64638ec5ccaa77b7c1eb90958e3d85ce381f91b or later
Is CVE-2022-21727 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, < b64638ec5ccaa77b7c1eb90958e3d85ce381f91b | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
- from 0, < 2.5.3
- from 0, < b64638ec5ccaa77b7c1eb90958e3d85ce381f91b | 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:L/VI:L/VA:H/SC:N/SI:N/SA:N |
| osv | CVSS 3.1 | HIGH7.6 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H |