CVE-2022-23594 Vulnerability Details

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CVE-2022-23594 Metadata Quick Info

CVE Published: 04/02/2022 | CVE Updated: 03/08/2024 | CVE Year: 2022
Source: GitHub_M | Vendor: tensorflow | Product: tensorflow
Status : PUBLISHED

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CVE-2022-23594 Description

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.

Metrics

CVSS Version: 3.1 | Base Score: 8.8 HIGH
Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

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

l➤ Impact Metrics:
    Confidentiality Impact (C)* HIGH
    Integrity Impact (I)* HIGH
    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).