CVE-2022-23589
Null pointer dereference in Grappler's `IsConstant` in Tensorflow
Description
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a `SavedModel` file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the `GraphDef` might not have the required nodes for the binary operation. If a node is missing, the correposning `mul_*child` would be null, and the dereference in the subsequent line would be incorrect. We have a similar issue during `IsIdentityConsumingSwitch`. 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-2022-23589
To remediate CVE-2022-23589, 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 0a365c029e437be0349c31f8d4c9926b69fa3fa1 or later
- —upgrade to 2.5.3 or later
- —upgrade to 0a365c029e437be0349c31f8d4c9926b69fa3fa1 or later
Is CVE-2022-23589 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, < 0a365c029e437be0349c31f8d4c9926b69fa3fa1, < 045deec1cbdebb27d817008ad5df94d96a08b1bf | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
- from 0, < 2.5.3
- from 0, < 0a365c029e437be0349c31f8d4c9926b69fa3fa1, < 045deec1cbdebb27d817008ad5df94d96a08b1bf | 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 |