Safety vulnerability ID: 44845
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow versions 2.5.3, 2.6.3, 2.7.1 and 2.8.0 include a fix for CVE-2022-23557: An attacker can craft a TFLite model that would trigger a division by zero in 'BiasAndClamp' implementation. There is no check that the 'bias_size' is non zero.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gf2j-f278-xh4v
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in `BiasAndClamp` implementation. There is no check that the `bias_size` is non zero. 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. See CVE-2022-23557.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gf2j-f278-xh4v: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gf2j-f278-xh4v
MISC:https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/lite/kernels/internal/common.h#L75: https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/lite/kernels/internal/common.h#L75
MISC:https://github.com/tensorflow/tensorflow/commit/8c6f391a2282684a25cbfec7687bd5d35261a209: https://github.com/tensorflow/tensorflow/commit/8c6f391a2282684a25cbfec7687bd5d35261a209
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