CVE-2021-29574 Information
Description
TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.MaxPool3DGradGrad exhibits undefined behavior by dereferencing null pointers backing attacker-supplied empty tensors. The implementation(https://github.com/tensorflow/tensorflow/blob/72fe792967e7fd25234342068806707bbc116618/tensorflow/core/kernels/pooling_ops_3d.ccL679-L703) fails to validate that the 3 tensor inputs are not empty. If any of them is empty then accessing the elements in the tensor results in dereferencing a null pointer. 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.
CVSS Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Reference
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-828x-qc2p-wprq https://github.com/tensorflow/tensorflow/commit/a3d9f9be9ac2296615644061b40cefcee341dcc4
Attack Complexity
LOW
Privileges Required
LOW
User Interaction Required
LOW
Scope
NONE
Confidentiality Impact
UNCHANGED
Integrity Impact
HIGH
Availability Impact
HIGH
Base Score
HIGH
Base Severity
7.8
Share on: