CVE-2021-29574
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPool3DGradGrad` exhibits undefined behavior by dereferencing null pointers backing attacker-supplied empty tensors. The implementation(https://github.com/tensorflow/tensorflow/blob/72fe792967e7fd25234342068806707bbc116618/tensorflow/core/kernels/pooling_ops_3d.cc#L679-L703) fails to validate that the 3 tensor inputs are not empty. If any of them is empty, then accessing the elements in the tensor results in dereferencing a null pointer. 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
- Tensorflow
- Google Tensorflow
- < 2.1.4, 2.2.3, 2.3.3, 2.4.2
- Fix
- Available
- CVSS 3.1
- 7.8 HIGH
- EPSS
- 0.2% (10th percentile)
- Weakness
- CWE-476
- NVD status
- Modified
- Published
- 2021-05-14
No indexed exploits for CVE-2021-29574 yet
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No exploit for CVE-2021-29574 has been indexed yet. Our index is built from live traffic and upstream syncs, so this page can only say what it knows — not that no exploit exists.