CVE-2021-29610
TensorFlow is an end-to-end open source platform for machine learning.
Impact
TensorFlow is an end-to-end open source platform for machine learning. The validation in `tf.raw_ops.QuantizeAndDequantizeV2` allows invalid values for `axis` argument:. The validation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses `||` to mix two different conditions. If `axis_ < -1` the condition in `OP_REQUIRES` will still be true, but this value of `axis_` results in heap underflow. This allows attackers to read/write to other data on the heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Tensorflow | before 2.1.4 from 2.2.0 before 2.2.3 from 2.3.0 before 2.3.3 from 2.4.0 before 2.4.2 |
Weakness classification
References
- NVD record
- CVE.org record
- https://github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mq5c-prh3-3f3h
- https://github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mq5c-prh3-3f3h