Headline
CVE-2023-25673: [Tensorflow] Fix security vulnerability with TensorListSplitOp · tensorflow/tensorflow@728113a
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a Floating Point Exception in TensorListSplit with XLA. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
@@ -236,6 +236,17 @@ def testZerosLikeForTensorList(self): self.assertAllEqual(z.shape.as_list(), [None]) self.assertAllEqual(z, [0.0, 0.0])
def testInvalidSplitLength(self): with self.session(), self.test_scope(): tensor_list_split = list_ops.tensor_list_split( tensor=[1], element_shape=[-1], lengths=[0] ) with self.assertRaisesRegex( errors.UnimplementedError, “All lengths must be positive” ): self.evaluate(tensor_list_split)
if __name__ == "__main__": os.environ[“TF_XLA_FLAGS”] = ("–tf_xla_min_cluster_size=2 " + os.environ.get("TF_XLA_FLAGS", “”))
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### Impact FPE in TensorListSplit with XLA ```python import tensorflow as tf func = tf.raw_ops.TensorListSplit para = {'tensor': [1], 'element_shape': -1, 'lengths': [0]} @tf.function(jit_compile=True) def fuzz_jit(): y = func(**para) return y print(fuzz_jit()) ``` ### Patches We have patched the issue in GitHub commit [728113a3be690facad6ce436660a0bc1858017fa](https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa). 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