TensorFlow is an end-to-end open source platform for machine learning. In affected versions providing a negative element to `num_elements` list argument of `tf.raw_ops.TensorListReserve` causes the runtime to abort the process due to reallocating a `std::vector` to have a negative number of elements. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/list_kernels.cc#L312) calls `std::vector.resize()` with the new size controlled by input given by the user, without checking that this input is valid. We have patched the issue in GitHub commit 8a6e874437670045e6c7dc6154c7412b4a2135e2. 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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/8a6e874437670045e6c7dc6154c7412b4a2135e2 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-27j5-4p9v-pp67 | Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-08-12T20:35:12
Updated: 2021-08-12T20:35:12
Reserved: 2021-07-29T00:00:00
Link: CVE-2021-37644
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-08-12T21:15:07.770
Modified: 2021-08-18T15:38:10.463
Link: CVE-2021-37644
JSON object: View
Redhat Information
No data.
CWE