title: `MirrorPadGrad` heap out of bounds read in Tensorflow
description: TensorFlow is an open source platform for machine learning. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
problem types: CWE-125: Out-of-bounds Read
affected:
{
vendor: tensorflow
product: tensorflow
versions:
version: >= 2.10.0, < 2.10.1, status: affected
version: >= 2.9.0, < 2.9.3, status: affected
version: < 2.8.4, status: affected
}
metrics:
cvssV3_1: [
version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: NONE
integrityImpact: NONE
availabilityImpact: HIGH
baseScore: 4.8
baseSeverity: MEDIUM
]