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GHSA-cpf4-wx82-gxp6
No affected components available
Impact
The implementation of SplitV can trigger a segfault is an attacker supplies negative arguments:
import tensorflow as tf
tf.raw_ops.SplitV(
value=tf.constant([]),
size_splits=[-1, -2]
,axis=0,
num_split=2)
This occurs whenever size_splits contains more than one value and at least one value is negative.
Patches
We have patched the issue in GitHub commit 25d622ffc432acc736b14ca3904177579e733cc6.
The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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.
The vulnerability requires local access to the device to be exploited. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. 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 availability of the system.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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