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1 | Source: proxmox-spamassassin | |
2 | Section: perl | |
3 | Priority: optional | |
4 | Build-Depends: curl, | |
5 | debhelper-compat (= 13), | |
6 | libberkeleydb-perl, | |
7 | libdbi-perl, | |
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, | |
16 | libtext-diff-perl, | |
17 | libwww-perl, | |
18 | netbase, | |
19 | perl (>= 5.8.8-7), | |
20 | quilt, | |
21 | razor, | |
22 | rsync, | |
23 | zlib1g-dev, | |
24 | Maintainer: Proxmox Support Team <support@proxmox.com> | |
25 | Standards-Version: 4.6.2 | |
26 | ||
27 | Package: proxmox-spamassassin | |
28 | Architecture: any | |
29 | Provides: libmail-spamassassin-perl | |
30 | Replaces: spamassassin, spamc | |
31 | Conflicts: proxmox-plugin-imageinfo | |
32 | Breaks: pmg-api (<< 7.2-5) | |
33 | Depends: curl, | |
34 | debconf (>= 1.2.0), | |
35 | libarchive-tar-perl, | |
36 | libberkeleydb-perl, | |
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, | |
59 | ${misc:Depends}, | |
60 | ${perl:Depends}, | |
61 | ${shlibs:Depends}, | |
62 | Recommends: gpg, libdbd-sqlite3-perl, libmail-dmarc-perl, libnet-libidn2-perl | |
63 | Description: Spam detector and markup engine | |
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. |