]> git.proxmox.com Git - proxmox-spamassassin.git/blame - debian/control
d/control: raise standards version compliance to 4.6.2
[proxmox-spamassassin.git] / debian / control
CommitLineData
7b922beb
DM
1Source: proxmox-spamassassin
2Section: perl
3Priority: optional
378bfa78 4Build-Depends: curl,
e2bd9a0d 5 debhelper (>= 12~),
378bfa78 6 libberkeleydb-perl,
c9aaa4d5 7 libdbi-perl,
378bfa78
TL
8 libencode-detect-perl,
9 libgeo-ip-perl,
10 libhtml-parser-perl,
11 libmail-dkim-perl (>= 0.25),
12 libmail-spf-perl,
13 libnet-cidr-lite-perl,
14 libnet-dns-perl,
15 libnetaddr-ip-perl,
90403ff9 16 libtext-diff-perl,
378bfa78
TL
17 libwww-perl,
18 netbase,
19 perl (>= 5.8.8-7),
16b11e0d 20 quilt,
378bfa78 21 razor,
054f24db 22 rsync,
c9aaa4d5 23 zlib1g-dev,
7b922beb 24Maintainer: Proxmox Support Team <support@proxmox.com>
2fe029b2 25Standards-Version: 4.6.2
7b922beb
DM
26
27Package: proxmox-spamassassin
28Architecture: any
29Provides: libmail-spamassassin-perl
30Replaces: spamassassin, spamc
31Conflicts: proxmox-plugin-imageinfo
7379e784 32Breaks: pmg-api (<< 7.2-5)
378bfa78
TL
33Depends: curl,
34 debconf (>= 1.2.0),
35 libarchive-tar-perl,
36 libberkeleydb-perl,
378bfa78
TL
37 libdbi-perl,
38 libencode-detect-perl,
39 libgeo-ip-perl,
40 libhtml-parser-perl (>= 3.24),
41 libhttp-date-perl,
42 libio-socket-inet6-perl,
43 libio-socket-ssl-perl,
44 libio-zlib-perl,
45 libmail-dkim-perl (>= 0.25),
46 libmail-spf-perl,
47 libmailtools-perl,
48 libnet-cidr-lite-perl,
49 libnet-dns-perl,
50 libnet-ident-perl,
51 libnetaddr-ip-perl,
52 libsocket6-perl,
53 libsys-hostname-long-perl,
54 libsys-syslog-perl,
55 libwww-perl,
56 netbase,
57 perl (>= 5.8.0),
58 razor,
26bccdff 59 ${misc:Depends},
2ffb529b
TL
60 ${perl:Depends},
61 ${shlibs:Depends},
26bccdff 62Recommends: gpg, libdbd-sqlite3-perl, libmail-dmarc-perl, libnet-libidn2-perl
378bfa78 63Description: Spam detector and markup engine
7b922beb
DM
64 Mail::SpamAssassin is a module to identify spam using several methods
65 including text analysis, internet-based realtime blacklists, statistical
66 analysis, and internet-based hashing algorithms.
67 .
68 Using its rule base, it uses a wide range of heuristic tests on mail headers
69 and body text to identify "spam", also known as unsolicited bulk email.
70 .
71 Once identified, the mail can then be tagged as spam for later filtering
72 using the user's own mail user-agent application or at the mail transfer
73 agent.
74 .
75 If you wish to use a command-line filter tool, try the spamassassin
76 or the spamd/spamc tools provided.