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GHSA-6gv8-p3vj-pxvr
No affected components available
Impact
The code for tf.raw_ops.UncompressElement can be made to trigger a null pointer dereference:
import tensorflow as tf
data = tf.data.Dataset.from_tensors([0.0])
tf.raw_ops.UncompressElement(
compressed=tf.data.experimental.to_variant(data),
output_types=[tf.int64],
output_shapes=[2])
The implementation obtains a pointer to a CompressedElement from a Variant tensor and then proceeds to dereference it for decompressing. There is no check that the Variant tensor contained a CompressedElement, so the pointer is actually nullptr.
Patches
We have patched the issue in GitHub commit 7bdf50bb4f5c54a4997c379092888546c97c3ebd.
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.
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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