title: Uninitialized memory access in Eigen types in TensorFlow
description: In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. 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-908: Use of Uninitialized Resource
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
]