Safety vulnerability ID: 41121
The information on this page was manually curated by our Cybersecurity Intelligence Team.
TensorFlow 2.3.4, 2.4.3, 2.5.1 and 2.6.0 include a fix for CVE-2021-37646: In affected versions the implementation of 'tf.raw_ops.StringNGrams' is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The implementation (https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/string_ngrams_op.cc#L184) calls 'reserve' on a 'tstring' with a value that sometimes can be negative if user supplies negative 'ngram_widths'. The 'reserve' method calls 'TF_TString_Reserve' which has an 'unsigned long' argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer. The Tensorflow team has patched the issue in GitHub commit c283e542a3f422420cfdb332414543b62fc4e4a5.
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.StringNGrams` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/string_ngrams_op.cc#L184) calls `reserve` on a `tstring` with a value that sometimes can be negative if user supplies negative `ngram_widths`. The `reserve` method calls `TF_TString_Reserve` which has an `unsigned long` argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit c283e542a3f422420cfdb332414543b62fc4e4a5. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. See CVE-2021-37646.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h6jh-7gv5-28vg: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h6jh-7gv5-28vg
MISC:https://github.com/tensorflow/tensorflow/commit/c283e542a3f422420cfdb332414543b62fc4e4a5: https://github.com/tensorflow/tensorflow/commit/c283e542a3f422420cfdb332414543b62fc4e4a5
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