CVE-2022-23572
Crash when type cannot be specialized in Tensorflow
Description
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the `DCHECK` function however, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the `ValueOrDie` line. This results in an assertion failure as `ret` contains an error `Status`, not a value. In the second case we also get a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.
How to fix CVE-2022-23572
To remediate CVE-2022-23572, 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 cb164786dc891ea11d3a900e90367c339305dc7b or later
- —upgrade to 2.5.3 or later
- —upgrade to cb164786dc891ea11d3a900e90367c339305dc7b or later
Is CVE-2022-23572 being exploited?
Low — EPSS is 0.5%, 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, < cb164786dc891ea11d3a900e90367c339305dc7b | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
- from 0, < 2.5.3
- from 0, < cb164786dc891ea11d3a900e90367c339305dc7b | 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 |