Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. When a user does not supply arguments that determine a valid sparse tensor, `tf.raw_ops.SparseTensorSliceDataset` implementation can be made to dereference a null pointer. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/data/sparse_tensor_slice_dataset_op.cc#L240-L251) has some argument validation but fails to consider the case when either `indices` or `values` are provided for an empty sparse tensor when the other is not. If `indices` is empty, then [code that performs validation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/data/sparse_tensor_slice_dataset_op.cc#L260-L261) (i.e., checking that the indices are monotonically increasing) results in a null pointer dereference. If `indices` as provided by the user is empty, then `indices` in the C++ code above is backed by an empty `std::vector`, hence calling `indices->dim_size(0)` results in null pointer dereferencing (same as calling `std::vector::at()` on an empty vector). We have patched the issue in GitHub commit 02cc160e29d20631de3859c6653184e3f876b9d7. 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.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | >= 2.3.0, < 2.3.4 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/02cc160e29d20631de3859c6653184e3PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c5x2-p679-95wcThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/02cc160e29d20631de3859c6653184e3PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c5x2-p679-95wcThird Party Advisory
FAQ
What is CVE-2021-37647?
CVE-2021-37647 is a vulnerability with a CVSS score of 7.7 (HIGH). TensorFlow is an end-to-end open source platform for machine learning. When a user does not supply arguments that determine a valid sparse tensor, `tf.raw_ops.SparseTensorSliceDataset` implementation ...
How severe is CVE-2021-37647?
CVE-2021-37647 has been rated HIGH with a CVSS base score of 7.7/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2021-37647?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.