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openvasCopyright (C) 2022 Greenbone Networks GmbHOPENVAS:1361412562310822937
HistoryDec 03, 2022 - 12:00 a.m.

Fedora: Security Advisory for sonic-visualiser (FEDORA-2022-5d37367673)

2022-12-0300:00:00
Copyright (C) 2022 Greenbone Networks GmbH
plugins.openvas.org
4

5.5 Medium

AI Score

Confidence

High

0.002 Low

EPSS

Percentile

51.8%

The remote host is missing an update for the

# Copyright (C) 2022 Greenbone Networks GmbH
# Some text descriptions might be excerpted from (a) referenced
# source(s), and are Copyright (C) by the respective right holder(s).
#
# SPDX-License-Identifier: GPL-2.0-or-later
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.

if(description)
{
  script_oid("1.3.6.1.4.1.25623.1.0.822937");
  script_version("2023-10-18T05:05:17+0000");
  script_cve_id("CVE-2022-46149");
  script_tag(name:"cvss_base", value:"6.4");
  script_tag(name:"cvss_base_vector", value:"AV:N/AC:L/Au:N/C:P/I:N/A:P");
  script_tag(name:"last_modification", value:"2023-10-18 05:05:17 +0000 (Wed, 18 Oct 2023)");
  script_tag(name:"severity_vector", value:"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:L");
  script_tag(name:"severity_origin", value:"NVD");
  script_tag(name:"severity_date", value:"2022-12-06 16:13:00 +0000 (Tue, 06 Dec 2022)");
  script_tag(name:"creation_date", value:"2022-12-03 02:17:42 +0000 (Sat, 03 Dec 2022)");
  script_name("Fedora: Security Advisory for sonic-visualiser (FEDORA-2022-5d37367673)");
  script_category(ACT_GATHER_INFO);
  script_copyright("Copyright (C) 2022 Greenbone Networks GmbH");
  script_family("Fedora Local Security Checks");
  script_dependencies("gather-package-list.nasl");
  script_mandatory_keys("ssh/login/fedora", "ssh/login/rpms", re:"ssh/login/release=FC36");

  script_xref(name:"Advisory-ID", value:"FEDORA-2022-5d37367673");
  script_xref(name:"URL", value:"https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/K2GXXFRRAAHA6CTZ2XRS3TI2INZJZFZ4");

  script_tag(name:"summary", value:"The remote host is missing an update for the 'sonic-visualiser'
  package(s) announced via the FEDORA-2022-5d37367673 advisory.");

  script_tag(name:"vuldetect", value:"Checks if a vulnerable package version is present on the target host.");

  script_tag(name:"insight", value:"Sonic Visualiser is an application for viewing and analyzing the
contents of music audio files.

The aim of Sonic Visualiser is to be the first program you reach for
when want to study a musical recording rather than simply listen to
it.

As well as a number of features designed to make exploring audio data
as revealing and fun as possible, Sonic Visualiser also has powerful
annotation capabilities to help you to describe what you find, and the
ability to run automated annotation and analysis plugins in the Vamp
analysis plugin format  as well as applying standard audio effects.");

  script_tag(name:"affected", value:"'sonic-visualiser' package(s) on Fedora 36.");

  script_tag(name:"solution", value:"Please install the updated package(s).");

  script_tag(name:"solution_type", value:"VendorFix");
  script_tag(name:"qod_type", value:"package");

  exit(0);
}

include("revisions-lib.inc");
include("pkg-lib-rpm.inc");

release = rpm_get_ssh_release();
if(!release)
  exit(0);

res = "";
report = "";

if(release == "FC36") {

  if(!isnull(res = isrpmvuln(pkg:"sonic-visualiser", rpm:"sonic-visualiser~4.5~2.fc36", rls:"FC36"))) {
    report += res;
  }

  if(report != "") {
    security_message(data:report);
  } else if(__pkg_match) {
    exit(99);
  }
  exit(0);
}

exit(0);

5.5 Medium

AI Score

Confidence

High

0.002 Low

EPSS

Percentile

51.8%