title: Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow
description: TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. 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-670: Always-Incorrect Control Flow Implementation
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
]