CVE-2023-25658

Description

### Impact Out of bounds read in GRUBlockCellGrad ```python func = tf.raw_ops.GRUBlockCellGrad para = {'x': [[21.1, 156.2], [83.3, 115.4]], 'h_prev': array([[136.5], [136.6]]), 'w_ru': array([[26.7, 0.8], [47.9, 26.1], [26.2, 26.3]]), 'w_c': array([[ 0.4], [31.5], [ 0.6]]), 'b_ru': array([0.1, 0.2 ], dtype=float32), 'b_c': 0x41414141, 'r': array([[0.3], [0.4]], dtype=float32), 'u': array([[5.7], [5.8]]), 'c': array([[52.9], [53.1]]), 'd_h': array([[172.2], [188.3 ]])} ``` ### Patches We have patched the issue in GitHub commit [ff459137c2716a2a60f7d441b855fcb466d778cb](https://github.com/tensorflow/tensorflow/commit/ff459137c2716a2a60f7d441b855fcb466d778cb). 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 r3pwnx.

How to fix CVE-2023-25658

To remediate CVE-2023-25658, upgrade the affected package to a fixed version below.

• —upgrade to 2.12.0 or later
• —upgrade to 2.11.1 or later
• —upgrade to 2.11.1 or later
• —upgrade to 2.11.1 or later

Is CVE-2023-25658 being exploited?

Low — EPSS is 0.1%, meaning exploitation activity has not been observed at scale.

Affected packages (4)

• from 0, < 2.12.0