CVEvulnerability

CVE-2021-29574

7.8 HIGH Published 2021-05-14 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2021-05-14
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
2.5 LOW — CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
CVSS 3.1 ([email protected])
7.8 HIGH — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS 2.0 ([email protected])
4.6 MEDIUM — AV:L/AC:L/Au:N/C:P/I:P/A:P
Weaknesses
CWE-476

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.cc#L679-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.

Affected configurations

• google tensorflow (< 2.1.4) • google tensorflow (>= 2.2.0 < 2.2.3) • google tensorflow (>= 2.3.0 < 2.3.3) • google tensorflow (>= 2.4.0 < 2.4.2)

Related

Weakness · CWE (1)

  • CWE-476 NULL Pointer Dereference weakness

References