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GHSA-c9qf-r67m-p7cg
No affected components available
Impact
It is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to tf.raw_ops.CompressElement:
import tensorflow as tf
tf.raw_ops.CompressElement(components=[[]])
The implementation was accessing the size of a buffer obtained from the return of a separate function call before validating that said buffer is valid.
Patches
We have patched the issue in GitHub commit 5dc7f6981fdaf74c8c5be41f393df705841fb7c5.
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. Concurrently, it was resolved in master branch as it was also discovered internally and fixed before the report was handled.
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.
Exploitation activity has been observed. Apply available patches or mitigations urgently.
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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