Oracle MySQL Connectors Multiple Vulnerabilities (Oct 2019 CPU)

high Nessus Plugin ID 129974

Language:

Synopsis

The remote host is affected by multiple vulnerabilities.

Description

The version of Oracle MySQL Connectors installed on the remote host is 8.0.x prior to 8.0.18 or 5.3.x prior to 5.3.14.
It is, therefore, affected by the following vulnerabilities as noted in the October 2019 Critical Patch Update advisory:

- An unspecified, remote security vulnerability in the Connector/ODBC component of Oracle MySQL Connectors.
(CVE-2019-2920)

- A vulnerability in the OpenSSL subcomponent of the Connector/ODBC component of Oracle MySQL Connectors caused by the ability to set variable nonce lengths in the ChaCha20-Poly1305 AEAD cipher. This could allow an unauthenticated, remote attacker to affect data confidentiality and integrity. (CVE-2019-1543)

Note that Nessus has not tested for this issue but has instead relied only on the application's self-reported version number.

Solution

Apply the appropriate patches according to the October 2019 Oracle Critical Patch Update advisory.

Plugin Details

Severity: High

ID: 129974

File Name: oracle_mysql_connectors_cpu_oct_2019.nasl

Version: 1.4

Type: local

Agent: windows, macosx, unix

Family: Misc.

Published: 10/16/2019

Updated: 4/11/2022

Configuration: Enable thorough checks

Supported Sensors: Nessus Agent, Nessus

Risk Information

VPR

Risk Factor: Medium

Score: 6.0

CVSS v2

Risk Factor: Medium

Base Score: 5.8

Temporal Score: 4.3

Vector: CVSS2#AV:N/AC:M/Au:N/C:P/I:P/A:N

CVSS Score Source: CVE-2019-1543

CVSS v3

Risk Factor: High

Base Score: 7.4

Temporal Score: 6.4

Vector: CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N

Temporal Vector: CVSS:3.0/E:U/RL:O/RC:C

Vulnerability Information

CPE: cpe:/a:oracle:mysql_connectors

Required KB Items: installed_sw/MySQL Connector

Exploit Ease: No known exploits are available

Patch Publication Date: 10/15/2019

Vulnerability Publication Date: 3/6/2019

Reference Information

CVE: CVE-2019-1543, CVE-2019-2920

BID: 107349

Detections

Analytics