CVE-2022-29212 Vulnerability Details

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CVE-2022-29212 Metadata Quick Info

CVE Published: 20/05/2022 | CVE Updated: 03/08/2024 | CVE Year: 2022
Source: GitHub_M | Vendor: tensorflow | Product: tensorflow
Status : PUBLISHED

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CVE-2022-29212 Description

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling `QuantizeMultiplierSmallerThanOneExp`, the `TFLITE_CHECK_LT` assertion would trigger and abort the process. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Metrics

CVSS Version: 3.1 | Base Score: 5.5 MEDIUM
Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

l➤ Exploitability Metrics:
    Attack Vector (AV)* LOCAL
    Attack Complexity (AC)* LOW
    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)* HIGH

Weakness Enumeration (CWE)

CWE-ID: CWE-20
CWE Name: CWE-20: Improper Input Validation
Source: tensorflow

Common Attack Pattern Enumeration and Classification (CAPEC)

CAPEC-ID:
CAPEC Description:


Source: NVD (National Vulnerability Database).