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GHSA-hwr7-8gxx-fj5p

HighCVSS 7.7 / 10
Published Aug 25, 2021·Last modified Mar 13, 2026
Affected Components(0)

No affected components available

Description

Impact

Sending invalid argument for row_partition_types of tf.raw_ops.RaggedTensorToTensor API results in a null pointer dereference and undefined behavior:

import tensorflow as tf

tf.raw_ops.RaggedTensorToTensor(
  shape=1,
  values=10,
  default_value=21,
  row_partition_tensors=tf.constant([0,0,0,0]),
  row_partition_types=[])

The implementation accesses the first element of a user supplied list of values without validating that the provided list is not empty.

Patches

We have patched the issue in GitHub commit 301ae88b331d37a2a16159b65b255f4f9eb39314.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 members of the Aivul Team from Qihoo 360.

Risk Scores
Base Score
7.7

The vulnerability requires local access to the device to be exploited. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a high impact on the integrity of the data. There is a high impact on the availability of the system.

Threat Intelligence
7.1

Exploitation activity has been observed. Apply available patches or mitigations urgently.

EPSS
0.17%

The exploit probability is very low. The vulnerability is unlikely to be exploited in 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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High severity
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