CVE-2020-26267

Lack of validation in data format attributes in TensorFlow

Published Dec 10, 2020 CVSS 3.1 · 4.4 Medium EPSS < 1% KEV · Not listed
Description
In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

Remediation

No solution or workaround provided in the CVE record

Tracking

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Advisories

Source ID Title
EUVD EUVD EUVD-2020-0214 In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
Github GHSA Github GHSA GHSA-c9f3-9wfr-wgh7 Lack of validation in data format attributes in TensorFlow
History

No history.

Weaknesses

Sources

Status
PUBLISHED
Assigner
GitHub_M
Published
Updated
Aug 4, 2024, 3:56 PM
Reserved
Oct 1, 2020, 12:00 AM
Status
Modified
Published
Dec 10, 2020, 11:15 PM
Modified
Jun 17, 2026, 3:07 AM