CVE-2022-23572: Improper Check for Unusual or Exceptional Conditions
(updated )
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
- github.com/advisories/GHSA-rww7-2gpw-fv6j
- github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc
- github.com/tensorflow/tensorflow/commit/cb164786dc891ea11d3a900e90367c339305dc7b
- github.com/tensorflow/tensorflow/security/advisories/GHSA-rww7-2gpw-fv6j
- nvd.nist.gov/vuln/detail/CVE-2022-23572
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