TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ef0c008ee84bad91ec6725ddc42091e19a30cf0e/tensorflow/core/kernels/maxpooling_op.cc#L1016-L1017) uses the same value to index in two different arrays but there is no guarantee that the sizes are identical. 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/dcd7867de0fea4b72a2b34bd41eb74548dc23886 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-545v-42p7-98fq | Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:16:31
Updated: 2021-05-14T19:16:31
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29570
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-05-14T20:15:13.833
Modified: 2021-05-18T19:32:07.780
Link: CVE-2021-29570
JSON object: View
Redhat Information
No data.
CWE