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GHSA-fv25-wrff-wf86
No affected components available
Impact
The implementation of tf.raw_ops.GetSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:
import tensorflow as tf
handle = tf.constant("[]", shape=[0], dtype=tf.string)
tf.raw_ops.GetSessionTensor(handle=handle)
The code assumes handle is a scalar but there is no validation for this:
const Tensor& handle = ctx->input(0);
const string& name = handle.scalar<tstring>()();
Patches
We have patched the issue in GitHub commit 48305e8ffe5246d67570b64096a96f8e315a7281.
The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range.
For more information
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Attribution
This vulnerability has been reported by Neophytos Christou from Secure Systems Lab at Brown University.
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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