CVE-2022-23576
Integer overflow in Tensorflow
Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. 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-2022-23576
To remediate CVE-2022-23576, 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 b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae or later
- —upgrade to 2.5.3 or later
- —upgrade to b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae or later
Is CVE-2022-23576 being exploited?
Low — EPSS is 0.2%, 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, < b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
- from 0, < 2.5.3
- from 0, < b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae | 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 |