CVE-2021-29548
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. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc) does not validate all constraints specified in the op's contract(https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedBatchNormWithGlobalNormalization). 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/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p45v-v4pw-77jr
- https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p45v-v4pw-77jr