TensorFlow vulnerable to integer overflow in EditDistance

Overview

Impact

TFversion 2.11.0 //tensorflow/core/ops/array_ops.cc:1067 const Tensor* hypothesis_shape_t = c->input_tensor(2); std::vector<DimensionHandle> dims(hypothesis_shape_t->NumElements() - 1); for (int i = 0; i < dims.size(); ++i) { dims[i] = c->MakeDim(std::max(h_values(i), t_values(i))); }

if hypothesis_shape_t is empty, hypothesis_shape_t->NumElements() - 1 will be integer overflow, and the it will deadlock

import tensorflow as tf
para={
    'hypothesis_indices': [[]],
    'hypothesis_values': ['tmp/'],
    'hypothesis_shape': [],
    'truth_indices': [[]],
    'truth_values': [''],
    'truth_shape': [],
    'normalize': False
    }
tf.raw_ops.EditDistance(**para)

Patches

We have patched the issue in GitHub commit 08b8e18643d6dcde00890733b270ff8d9960c56c.

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

Affected packages

• tensorflow < 2.11.1
• tensorflow-cpu < 2.11.1
• tensorflow-gpu < 2.11.1

Remediation

Upgrade to a patched release:

• tensorflow 2.11.1
• tensorflow-cpu 2.11.1
• tensorflow-gpu 2.11.1