Workflow

PyPi: Tensorflow-Rocm

CVE-2018-20330

Transitive

Safety vulnerability ID: 58007

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at Dec 21, 2018 Updated at Dec 03, 2024
Scan your Python projects for vulnerabilities →

Advisory

Tensorflow-rocm versions 1.15.3, 2.0.2 and 2.1.1 updates its dependency "libjpeg-turbo" to handle CVE-2018-20330.

Affected package

tensorflow-rocm

Latest version: 2.14.0.600

TensorFlow is an open source machine learning framework for everyone.

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

Use this package?

Scan your Python project for dependency vulnerabilities in two minutes

Scan your application

Severity Details

CVSS Base Score

HIGH 8.8

CVSS v3 Details

HIGH 8.8
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
LOW
Privileges Required (PR)
NONE
User Interaction (UI)
REQUIRED
Scope (S)
UNCHANGED
Confidentiality Impact (C)
HIGH
Integrity Impact (I)
HIGH
Availability Availability (A)
HIGH

CVSS v2 Details

MEDIUM 6.8
Access Vector (AV)
NETWORK
Access Complexity (AC)
MEDIUM
Authentication (Au)
NONE
Confidentiality Impact (C)
PARTIAL
Integrity Impact (I)
PARTIAL
Availability Impact (A)
PARTIAL