An attacker can cause denial of service in applications serving models using tf.raw_ops.UnravelIndex
by triggering a division by 0:
import tensorflow as tf
tf.raw_ops.UnravelIndex(indices=-1, dims=[1,0,2])
The implementation does not check that the tensor subsumed by dims
is not empty. Hence, if one element of dims
is 0, the implementation does a division by 0.
We have patched the issue in GitHub commit a776040a5e7ebf76eeb7eb923bf1ae417dd4d233.
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.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by members of the Aivul Team from Qihoo 360.
{ "nvd_published_at": "2021-08-12T23:15:00Z", "cwe_ids": [ "CWE-369" ], "severity": "MODERATE", "github_reviewed": true, "github_reviewed_at": "2021-08-24T14:19:36Z" }