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.
References (3)
Core 3
Core References
Patch, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rww7-2gpw-fv6j
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/cb164786dc891ea11d3a900e90367c339305dc7b
Exploit, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc#L168-L174
Scores
CVSS v3
6.5
EPSS
0.0051
EPSS Percentile
66.3%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CISA SSVC
Vulnrichment
Exploitation
poc
Automatable
no
Technical Impact
partial
Details
CWE
CWE-754
CWE-617
Status
published
Products (5)
google/tensorflow
2.7.0
google/tensorflow
< 2.5.2
pypi/tensorflow
0 - 2.5.3PyPI
pypi/tensorflow-cpu
0 - 2.5.3PyPI
pypi/tensorflow-gpu
0 - 2.5.3PyPI
Published
Feb 04, 2022
Tracked Since
Feb 18, 2026