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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/cb164786dc891ea11d3a900e90367c339305dc7b | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rww7-2gpw-fv6j | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc#L168-L174 | Exploit Third Party Advisory |
Configurations
Configuration 1 (hide)
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Information
Published : 2022-02-04 15:15
Updated : 2022-02-10 08:17
NVD link : CVE-2022-23572
Mitre link : CVE-2022-23572
JSON object : View
CWE
CWE-754
Improper Check for Unusual or Exceptional Conditions
Products Affected
- tensorflow