CVE-2021-29589 Vulnerability Details

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CVE-2021-29589 Metadata Quick Info

CVE Published: 14/05/2021 | CVE Updated: 03/08/2024 | CVE Year: 2021
Source: GitHub_M | Vendor: tensorflow | Product: tensorflow
Status : PUBLISHED

CVE-2021-29589 Description

TensorFlow is an end-to-end open source platform for machine learning. The reference implementation of the `GatherNd` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/reference_ops.h#L966). An attacker can craft a model such that `params` input would be an empty tensor. In turn, `params_shape.Dims(.)` would be zero, in at least one dimension. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Metrics

CVSS Version: 3.1 | Base Score: 2.5 LOW
Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

l➤ Exploitability Metrics:
    Attack Vector (AV)* LOCAL
    Attack Complexity (AC)* HIGH
    Privileges Required (PR)* LOW
    User Interaction (UI)* NONE
    Scope (S)* UNCHANGED

l➤ Impact Metrics:
    Confidentiality Impact (C)* NONE
    Integrity Impact (I)* NONE
    Availability Impact (A)* LOW

Weakness Enumeration (CWE)

CWE-ID: CWE-369
CWE Name: CWE-369: Divide By Zero
Source: tensorflow

Common Attack Pattern Enumeration and Classification (CAPEC)

CAPEC-ID:
CAPEC Description:


Source: NVD (National Vulnerability Database).