TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.FusedBatchNorm`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/828f346274841fa7505f7020e88ca36c22e557ab/tensorflow/core/kernels/fused_batch_norm_op.cc#L295-L297) performs a division based on the last dimension of the `x` tensor. Since this is controlled by the user, an attacker can trigger a denial of service. 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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/1a2a87229d1d61e23a39373777c056161eb4084d | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r35g-4525-29fq | Exploit Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:17:51
Updated: 2021-05-14T19:17:51
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29555
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-05-14T20:15:13.160
Modified: 2021-05-18T19:58:05.747
Link: CVE-2021-29555
JSON object: View
Redhat Information
No data.
CWE