PyPi: Tensorflow-Rocm

CVE-2020-15205

Safety vulnerability ID: 57986

This vulnerability was reviewed by experts

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

Created at Sep 25, 2020 Updated at Nov 29, 2024
Scan your Python projects for vulnerabilities →

Advisory

Tensorflow-rocm versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1 include a fix for CVE-2020-15205: In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the 'data_splits' argument of 'tf.raw_ops.StringNGrams' lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory In the linked code snippet, all the binary strings after 'ee ff' are contents from the memory stack. Since these can contain return addresses, this data leak can be used to defeat ASLR.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g7p5-5759-qv46

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

CRITICAL 9.8

CVSS v3 Details

CRITICAL 9.8
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
LOW
Privileges Required (PR)
NONE
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
HIGH
Integrity Impact (I)
HIGH
Availability Availability (A)
HIGH

CVSS v2 Details

HIGH 7.5
Access Vector (AV)
NETWORK
Access Complexity (AC)
LOW
Authentication (Au)
NONE
Confidentiality Impact (C)
PARTIAL
Integrity Impact (I)
PARTIAL
Availability Impact (A)
PARTIAL