Scientific Linux Security Update : gstreamer-plugins-good on SL7.x x86_64 (20170105)

critical Nessus Plugin ID 96333

Synopsis

The remote Scientific Linux host is missing one or more security updates.

Description

Security Fix(es) :

- Multiple flaws were discovered in GStreamer's FLC/FLI/FLX media file format decoding plug-in. A remote attacker could use these flaws to cause an application using GStreamer to crash or, potentially, execute arbitrary code with the privileges of the user running the application. (CVE-2016-9634, CVE-2016-9635, CVE-2016-9636, CVE-2016-9808)

- An invalid memory read access flaw was found in GStreamer's FLC/FLI/FLX media file format decoding plug-in. A remote attacker could use this flaw to cause an application using GStreamer to crash. (CVE-2016-9807)

Note: This update removes the vulnerable FLC/FLI/FLX plug-in.

Solution

Update the affected gstreamer-plugins-good, gstreamer-plugins-good-debuginfo and / or gstreamer-plugins-good-devel-docs packages.

See Also

http://www.nessus.org/u?9eaa73a4

Plugin Details

Severity: Critical

ID: 96333

File Name: sl_20170105_gstreamer_plugins_good_on_SL7_x.nasl

Version: 3.8

Type: local

Agent: unix

Published: 1/6/2017

Updated: 1/14/2021

Supported Sensors: Nessus Agent, Nessus

Risk Information

VPR

Risk Factor: Medium

Score: 6.7

CVSS v2

Risk Factor: High

Base Score: 7.5

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

CVSS v3

Risk Factor: Critical

Base Score: 9.8

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

Vulnerability Information

CPE: p-cpe:/a:fermilab:scientific_linux:gstreamer-plugins-good, p-cpe:/a:fermilab:scientific_linux:gstreamer-plugins-good-debuginfo, p-cpe:/a:fermilab:scientific_linux:gstreamer-plugins-good-devel-docs, x-cpe:/o:fermilab:scientific_linux

Required KB Items: Host/local_checks_enabled, Host/cpu, Host/RedHat/release, Host/RedHat/rpm-list

Patch Publication Date: 1/5/2017

Vulnerability Publication Date: 1/13/2017

Reference Information

CVE: CVE-2016-9634, CVE-2016-9635, CVE-2016-9636, CVE-2016-9807, CVE-2016-9808