CVE-2022-29207 Vulnerability Details

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CVE-2022-29207 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-2022-29207 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, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. 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).