TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc) does not validate all constraints specified in the op's contract(https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedBatchNormWithGlobalNormalization). 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/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p45v-v4pw-77jr | Exploit Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:10:46
Updated: 2021-05-14T19:10:46
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29548
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-05-14T20:15:12.807
Modified: 2021-05-20T15:17:34.747
Link: CVE-2021-29548
JSON object: View
Redhat Information
No data.
CWE