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 ]])}
The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1
This vulnerability has been reported by r3pwnx.
Impact
Out of bounds read in GRUBlockCellGrad
Patches
We have patched the issue in GitHub 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 for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by r3pwnx.