Safety vulnerability ID: 41121
The information on this page was manually curated by our Cybersecurity Intelligence Team.
[This advisory has been limited. Please create a free account to view the full advisory.]
Latest version: 2.20.0
TensorFlow is an open source machine learning framework for everyone.
[This affected versions has been limited. Please create a free account to view the full affected versions.]
[This fixed versions has been limited. Please create a free account to view the full fixed versions.]
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
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application