CVEvulnerability

CVE-2021-29520

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-120, CWE-787

Description

TensorFlow is an end-to-end open source platform for machine learning. Missing validation between arguments to `tf.raw_ops.Conv3DBackprop*` operations can result in heap buffer overflows. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/4814fafb0ca6b5ab58a09411523b2193fed23fed/tensorflow/core/kernels/conv_grad_shape_utils.cc#L94-L153) assumes that the `input`, `filter_sizes` and `out_backprop` tensors have the same shape, as they are accessed in parallel. 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 (2)

  • CWE-120 Buffer Copy without Checking Size of Input weakness
  • CWE-787 Out-of-bounds Write weakness

References