TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by zero undefined behavior in `tf.raw_ops.QuantizedBiasAdd`. This is because the implementation of the Eigen kernel(https://github.com/tensorflow/tensorflow/blob/61bca8bd5ba8a68b2d97435ddfafcdf2b85672cd/tensorflow/core/kernels/quantization_utils.h#L812-L849) does a division by the number of elements of the smaller input (based on shape) without checking that this is not zero. 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/67784700869470d65d5f2ef20aeb5e97c31673cb | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m34j-p8rj-wjxq | Exploit Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:10:55
Updated: 2021-05-14T19:10:55
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29546
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-05-14T20:15:12.717
Modified: 2021-07-26T16:05:50.307
Link: CVE-2021-29546
JSON object: View
Redhat Information
No data.
CWE