Alpine: multiple mariadb packages: security update to 10.2.15-r0

high Tenable Self-Hosted Container Security Plugin ID 424135

Description

There are packages installed that are affected by multiple vulnerabilities referenced in the following CVEs:

- Vulnerability in the MySQL Server component of Oracle MySQL (subcomponent: InnoDB). Supported versions
that are affected are 5.6.39 and prior and 5.7.21 and prior. Easily exploitable vulnerability allows high
privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful
attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable
crash (complete DOS) of MySQL Server as well as unauthorized update, insert or delete access to some of
MySQL Server accessible data. (CVE-2018-2787)

- Vulnerability in the MySQL Server component of Oracle MySQL (subcomponent: Server: Replication). Supported
versions that are affected are 5.5.59 and prior, 5.6.39 and prior and 5.7.21 and prior. Difficult to
exploit vulnerability allows unauthenticated attacker with logon to the infrastructure where MySQL Server
executes to compromise MySQL Server. Successful attacks require human interaction from a person other than
the attacker and while the vulnerability is in MySQL Server, attacks may significantly impact additional
products. Successful attacks of this vulnerability can result in takeover of MySQL Server. (CVE-2018-2755)

- Vulnerability in the MySQL Server component of Oracle MySQL (subcomponent: InnoDB). Supported versions
that are affected are 5.7.21 and prior. Easily exploitable vulnerability allows high privileged attacker
with network access via multiple protocols to compromise MySQL Server. Successful attacks of this
vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete
DOS) of MySQL Server. (CVE-2018-2759)

- Vulnerability in the MySQL Server component of Oracle MySQL (subcomponent: Client programs). Supported
versions that are affected are 5.5.59 and prior, 5.6.39 and prior and 5.7.21 and prior. Difficult to
exploit vulnerability allows unauthenticated attacker with network access via multiple protocols to
compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to
cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. (CVE-2018-2761)

- Vulnerability in the MySQL Server component of Oracle MySQL (subcomponent: InnoDB). Supported versions
that are affected are 5.6.39 and prior and 5.7.21 and prior. Easily exploitable vulnerability allows high
privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful
attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable
crash (complete DOS) of MySQL Server. (CVE-2018-2766)

Plugin Details

Severity: High

ID: 424135

Version: Revision 1.7

Type: Local

Family: Alpine Linux Local Security Checks

Published: 4/4/2025

Updated: 5/30/2025

Supported Sensors: Agentless Assessment, Tenable Cloud Security, Tenable Self-Hosted Container Security

Risk Information

VPR

Risk Factor: Medium

Score: 5

Percentile: 95.11

CVSS v2

Risk Factor: Medium

Base Score: 5.5

Temporal Score: 4.1

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

CVSS Score Source: CVE-2018-2787

CVSS v3

Risk Factor: High

Base Score: 7.7

Temporal Score: 6.7

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

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

CVSS Score Source: CVE-2018-2755

Vulnerability Information

Exploit Ease: No known exploits are available

Vulnerability Publication Date: 4/17/2018

Reference Information

CVE: CVE-2018-2755, CVE-2018-2759, CVE-2018-2761, CVE-2018-2766, CVE-2018-2771, CVE-2018-2777, CVE-2018-2781, CVE-2018-2782, CVE-2018-2784, CVE-2018-2786, CVE-2018-2787, CVE-2018-2810, CVE-2018-2813, CVE-2018-2817, CVE-2018-2819

BID: 103779, 103780, 103781, 103783, 103799, 103801, 103804, 103805, 103807, 103814, 103818, 103820, 103825, 103828, 103830

IAVA: 2018-A-0121-S

Detections

Analytics