title: Lack of validation in data format attributes in TensorFlow
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.
problem types: CWE-125 Out-of-bounds Read
affected:
{
product: tensorflow
vendor: tensorflow
versions:
status: affected, version: < 1.15.5
status: affected, version: >= 2.0.0, < 2.0.4
status: affected, version: >= 2.1.0, < 2.1.3
status: affected, version: >= 2.2.0, < 2.2.2
status: affected, version: >= 2.3.0, < 2.3.2
}
metrics:
cvssV3_1: [
attackComplexity: LOW
attackVector: LOCAL
availabilityImpact: LOW
baseScore: 4.4
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: LOW
privilegesRequired: LOW
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
version: 3.1
]