CVE-2022-41883 Vulnerability Details

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CVE-2022-41883 Metadata Quick Info

CVE Published: 18/11/2022 | CVE Updated: 03/08/2024 | CVE Year: 2022
Source: GitHub_M | Vendor: tensorflow | Product: tensorflow
Status : PUBLISHED

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CVE-2022-41883 Description

TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. 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.

Metrics

CVSS Version: 3.1 | Base Score: 6.8 MEDIUM
Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H

l➤ Exploitability Metrics:
    Attack Vector (AV)* NETWORK
    Attack Complexity (AC)* LOW
    Privileges Required (PR)* LOW
    User Interaction (UI)* REQUIRED
    Scope (S)* UNCHANGED

l➤ Impact Metrics:
    Confidentiality Impact (C)* LOW
    Integrity Impact (I)* LOW
    Availability Impact (A)* HIGH

Weakness Enumeration (CWE)

CWE-ID: CWE-125
CWE Name: CWE-125: Out-of-bounds Read
Source: tensorflow

Common Attack Pattern Enumeration and Classification (CAPEC)

CAPEC-ID:
CAPEC Description:


Source: NVD (National Vulnerability Database).