Test ID:	1.3.6.1.4.1.25623.1.1.1.2.2023.3546
Category:	Debian Local Security Checks
Title:	Debian: Security Advisory (DLA-3546-1)
Summary:	The remote host is missing an update for the Debian 'opendmarc' package(s) announced via the DLA-3546-1 advisory.
Description:	Summary: The remote host is missing an update for the Debian 'opendmarc' package(s) announced via the DLA-3546-1 advisory. Vulnerability Insight: It was discovered that there was an issue in the opendmarc DMARC email filter system. A vulnerability allowed attackers to inject authentication results to provide false information about the domain that originated an email message. This was caused by incorrect parsing and interpretation of SPF/DKIM authentication results. CVE-2020-12272 OpenDMARC through 1.3.2 and 1.4.x allows attacks that inject authentication results to provide false information about the domain that originated an e-mail message. This is caused by incorrect parsing and interpretation of SPF/DKIM authentication results, as demonstrated by the example.net(.example.com substring. For Debian 10 Buster, this problem has been fixed in version 1.3.2-6+deb10u3. We recommend that you upgrade your opendmarc packages. Further information about Debian LTS security advisories, how to apply these updates to your system and frequently asked questions can be found at: [link moved to references] Affected Software/OS: 'opendmarc' package(s) on Debian 10. Solution: Please install the updated package(s). CVSS Score: 5.0 CVSS Vector: AV:N/AC:L/Au:N/C:N/I:P/A:N
Cross-Ref:	Common Vulnerability Exposure (CVE) ID: CVE-2020-12272 https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/2D4JGHMALEJEWWG56DKR5OZB22TK7W5B/ https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/KBOGOQOK3TIWWJV66MW5YWNRJAFFYGR5/ https://sourceforge.net/p/opendmarc/tickets/237/ https://www.usenix.org/system/files/sec20fall_chen-jianjun_prepub_0.pdf https://lists.debian.org/debian-lts-announce/2023/08/msg00035.html
Copyright	Copyright (C) 2023 Greenbone AG

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