CVEvulnerability

CVE-2021-37645

5.5 MEDIUM Published 2021-08-12 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2021-08-12
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 3.1 ([email protected])
5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 2.0 ([email protected])
2.1 LOW — AV:L/AC:L/Au:N/C:N/I:N/A:P
Weaknesses
CWE-681

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The implementation uses the `axis` value as the size argument to `absl::InlinedVector` constructor. But, the constructor uses an unsigned type for the argument, so the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit 96f364a1ca3009f98980021c4b32be5fdcca33a1. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, and TensorFlow 2.4.3, as these are also affected and still in supported range.

Affected configurations

• google tensorflow (>= 2.3.0 < 2.3.4) • google tensorflow (>= 2.4.0 < 2.4.3) • google tensorflow 2.5.0 • google tensorflow 2.6.0

Related

Weakness · CWE (1)

  • CWE-681 Incorrect Conversion between Numeric Types weakness

References