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GHSA-cqvq-fvhr-v6hc

Published Nov 21, 2022·Last modified Dec 4, 2024
Affected Components(0)

No affected components available

Description

Impact

Another instance of CVE-2022-35935, where SobolSample is vulnerable to a denial of service via assumed scalar inputs, was found and fixed.

import tensorflow as tf
tf.raw_ops.SobolSample(dim=tf.constant([1,0]), num_results=tf.constant([1]), skip=tf.constant([1]))

Patches

We have patched the issue in GitHub commits c65c67f88ad770662e8f191269a907bf2b94b1bf and 02400ea266bd811fc016a848445de1bbff3a23a0

The fix will be included in TensorFlow 2.11. We will also cherrypick both commits on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. TensorFlow 2.7.4 will have the first commit cherrypicked.

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:

  • Kang Hong Jin from Singapore Management University
  • Neophytos Christou, Secure Systems Labs, Brown University
  • 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology
  • Pattarakrit Rattankul
Risk Scores
Base Score
0.0

Measures severity based on intrinsic characteristics of the vulnerability, independent of environment.

Threat Intelligence
0.0

No exploitation activity has been observed at this time. Continue routine monitoring.

EPSS
N/A

Probability that this vulnerability will be exploited in the wild within the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

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