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Severe, 6 weeks1496Projects326

1496 severe, 6 weeks · 326 projects

TensorFlowGHSA-rgvq-pcvf-hx75

Heap OOB and null pointer dereference in `RaggedTensorToTensor`

TensorFlow

CVE-2021-29608 · Published May 21, 2021 · updated Jul 8, 2026

Medium5.3
Fix: upgrade to 2.1.4 or later (4 fixed versions below)
GitHub advisory

Impact

Due to lack of validation in tf.raw_ops.RaggedTensorToTensor, an attacker can exploit an undefined behavior if input arguments are empty:

```python

import tensorflow as tf

shape = tf.constant([-1, -1], shape=[2], dtype=tf.int64)

values = tf.constant([], shape=[0], dtype=tf.int64)

default_value = tf.constant(404, dtype=tf.int64)

row = tf.constant([269, 404, 0, 0, 0, 0, 0], shape=[7], dtype=tf.int64)

rows = [row]

types = ['ROW_SPLITS']

tf.raw_ops.RaggedTensorToTensor(

shape=shape, values=values, default_value=default_value,

row_partition_tensors=rows, row_partition_types=types)

`

The [implementation](https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L356-L360) only checks that one of the tensors is not empty, but does not check for the other ones.

There are multiple DCHECK validations to prevent heap OOB, but these are no-op in release builds, hence they don't prevent anything.

Patches

We have patched the issue in GitHub commit [b761c9b652af2107cfbc33efd19be0ce41daa33e](https://github.com/tensorflow/tensorflow/commit/b761c9b652af2107cfbc33efd19be0ce41daa33e) followed by GitHub commit [f94ef358bb3e91d517446454edff6535bcfe8e4a](https://github.com/tensorflow/tensorflow/commit/f94ef358bb3e91d517446454edff6535bcfe8e4a) and GitHub commit...

Affected versions

PackageAffectedFixed in
tensorflow
PyPI
< 2.1.42.1.4
>= 2.2.0, < 2.2.32.2.3
>= 2.3.0, < 2.3.32.3.3
>= 2.4.0, < 2.4.22.4.2
Details and references

### Impact Due to lack of validation in `tf.raw_ops.RaggedTensorToTensor`, an attacker can exploit an undefined behavior if input arguments are empty: ```python import tensorflow as tf shape = tf.constant([-1, -1], shape=[2], dtype=tf.int64) values = tf.constant([], shape=[0], dtype=tf.int64) default_value = tf.constant(404, dtype=tf.int64) row = tf.constant([269, 404, 0, 0, 0, 0, 0], shape=[7], dtype=tf.int64) rows = [row] types = ['ROW_SPLITS'] tf.raw_ops.RaggedTensorToTensor( shape=shape, values=values, default_value=default_value, row_partition_tensors=rows, row_partition_types=types) ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L356-L360) only checks that one of the tensors is not empty, but does not check for the other ones. There are multiple `DCHECK` validations to prevent heap OOB, but these are no-op in release builds, hence they don't prevent anything. ### Patches We have patched the issue in GitHub commit [b761c9b652af2107cfbc33efd19be0ce41daa33e](https://github.com/tensorflow/tensorflow/commit/b761c9b652af2107cfbc33efd19be0ce41daa33e) followed by GitHub commit [f94ef358bb3e91d517446454edff6535bcfe8e4a](https://github.com/tensorflow/tensorflow/commit/f94ef358bb3e91d517446454edff6535bcfe8e4a) and GitHub commit [c4d7afb6a5986b04505aca4466ae1951686c80f6](https://github.com/tensorflow/tensorflow/commit/c4d7afb6a5986b04505aca4466ae1951686c80f6). The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. ### 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 Yakun Zhang and Ying Wang of Baidu X-Team.

CVSS 3.1
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:H
Severity from
GitHub (reviewed advisory)
Weakness
CWE-131
Also known as
BIT-tensorflow-2021-29608, CVE-2021-29608, PYSEC-2021-245, PYSEC-2021-536, PYSEC-2021-734

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