The implementation of the SVDF
TFLite operator is vulnerable to a division by zero error:
const int rank = params->rank;
...
TF_LITE_ENSURE_EQ(context, num_filters % rank, 0);
An attacker can craft a model such that params->rank
would be 0.
We have patched the issue in GitHub commit 6841e522a3e7d48706a02e8819836e809f738682.
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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": "2021-05-14T20:15:00Z", "cwe_ids": [ "CWE-369" ], "severity": "LOW", "github_reviewed": true, "github_reviewed_at": "2021-05-17T22:33:22Z" }