GHSA-3mw4-6rj6-74g5

Dashboard / Vulnerabilities / GHSA-3mw4-6rj6-74g5

GHSA-3mw4-6rj6-74g5

Summary: Null pointer dereference in TensorFlow

Details: ### Impact The [implementation of `QuantizedMaxPool`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/quantized_pooling_ops.cc#L114-L130) has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. ```python import tensorflow as tf tf.raw_ops.QuantizedMaxPool( input = tf.constant([[[[4]]]], dtype=tf.quint8), min_input = [], max_input = [1], ksize = [1, 1, 1, 1], strides = [1, 1, 1, 1], padding = "SAME", name=None ) ``` ### Patches We have patched the issue in GitHub commit [53b0dd6dc5957652f35964af16b892ec9af4a559](https://github.com/tensorflow/tensorflow/commit/53b0dd6dc5957652f35964af16b892ec9af4a559). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Faysal Hossain Shezan from University of Virginia.

References: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3mw4-6rj6-74g5, https://nvd.nist.gov/vuln/detail/CVE-2022-21739, https://github.com/tensorflow/tensorflow/commit/53b0dd6dc5957652f35964af16b892ec9af4a559, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-63.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-118.yaml, https://github.com/tensorflow/tensorflow, https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/quantized_pooling_ops.cc#L114-L130