PyPi: Tensorflow-Rocm

CVE-2020-15198

Safety vulnerability ID: 57991

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 2.3.1 includes a fix for CVE-2020-15198: In Tensorflow before version 2.3.1, the "SparseCountSparseOutput" implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the "indices" tensor has the same shape as the "values" one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue was patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3

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

MEDIUM 5.4

CVSS v3 Details

MEDIUM 5.4
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
HIGH
Privileges Required (PR)
NONE
User Interaction (UI)
NONE
Scope (S)
CHANGED
Confidentiality Impact (C)
LOW
Integrity Impact (I)
LOW
Availability Availability (A)
NONE

CVSS v2 Details

MEDIUM 5.8
Access Vector (AV)
NETWORK
Access Complexity (AC)
MEDIUM
Authentication (Au)
NONE
Confidentiality Impact (C)
PARTIAL
Integrity Impact (I)
PARTIAL
Availability Impact (A)
NONE