CVE-2021-29569 log

Source
Severity Low
Remote No
Type Information disclosure
Description
A security issue has been found in TensorFlow before version 2.4.2. 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/ac328eaa3870491ababc147822cd04e91a790643/tensorflow/core/kernels/requantization_range_op.cc#L49-L50) assumes that the `input_min` and `input_max` tensors have at least one element, as it accesses the first element in two arrays. If the tensors are empty, `.flat<T>()` is an empty object, backed by an empty array. Hence, accesing even the 0th element is a read outside the bounds.
Group Package Affected Fixed Severity Status Ticket
AVG-1962 tensorflow 2.4.1-10 2.5.0-1 Critical Fixed
References
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3h8m-483j-7xxm
https://github.com/tensorflow/tensorflow/commit/ef0c008ee84bad91ec6725ddc42091e19a30cf0e