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7b922beb DM |
1 | Source: proxmox-spamassassin |
2 | Section: perl | |
3 | Priority: optional | |
378bfa78 | 4 | Build-Depends: curl, |
e2bd9a0d | 5 | debhelper (>= 12~), |
378bfa78 TL |
6 | libberkeleydb-perl, |
7 | libencode-detect-perl, | |
8 | libgeo-ip-perl, | |
9 | libhtml-parser-perl, | |
10 | libmail-dkim-perl (>= 0.25), | |
11 | libmail-spf-perl, | |
12 | libnet-cidr-lite-perl, | |
13 | libnet-dns-perl, | |
14 | libnetaddr-ip-perl, | |
15 | libwww-perl, | |
16 | netbase, | |
17 | perl (>= 5.8.8-7), | |
16b11e0d | 18 | quilt, |
378bfa78 | 19 | razor, |
7b922beb DM |
20 | Maintainer: Proxmox Support Team <support@proxmox.com> |
21 | Standards-Version: 3.7.2 | |
22 | ||
23 | Package: proxmox-spamassassin | |
24 | Architecture: any | |
25 | Provides: libmail-spamassassin-perl | |
26 | Replaces: spamassassin, spamc | |
27 | Conflicts: proxmox-plugin-imageinfo | |
378bfa78 TL |
28 | Depends: curl, |
29 | debconf (>= 1.2.0), | |
30 | libarchive-tar-perl, | |
31 | libberkeleydb-perl, | |
378bfa78 TL |
32 | libdbi-perl, |
33 | libencode-detect-perl, | |
34 | libgeo-ip-perl, | |
35 | libhtml-parser-perl (>= 3.24), | |
36 | libhttp-date-perl, | |
37 | libio-socket-inet6-perl, | |
38 | libio-socket-ssl-perl, | |
39 | libio-zlib-perl, | |
40 | libmail-dkim-perl (>= 0.25), | |
41 | libmail-spf-perl, | |
42 | libmailtools-perl, | |
43 | libnet-cidr-lite-perl, | |
44 | libnet-dns-perl, | |
45 | libnet-ident-perl, | |
46 | libnetaddr-ip-perl, | |
47 | libsocket6-perl, | |
48 | libsys-hostname-long-perl, | |
49 | libsys-syslog-perl, | |
50 | libwww-perl, | |
51 | netbase, | |
52 | perl (>= 5.8.0), | |
53 | razor, | |
2ffb529b TL |
54 | ${perl:Depends}, |
55 | ${shlibs:Depends}, | |
9ee68437 | 56 | ${misc:Depends}, |
81c6d27a | 57 | Recommends: gpg |
378bfa78 | 58 | Description: Spam detector and markup engine |
7b922beb DM |
59 | Mail::SpamAssassin is a module to identify spam using several methods |
60 | including text analysis, internet-based realtime blacklists, statistical | |
61 | analysis, and internet-based hashing algorithms. | |
62 | . | |
63 | Using its rule base, it uses a wide range of heuristic tests on mail headers | |
64 | and body text to identify "spam", also known as unsolicited bulk email. | |
65 | . | |
66 | Once identified, the mail can then be tagged as spam for later filtering | |
67 | using the user's own mail user-agent application or at the mail transfer | |
68 | agent. | |
69 | . | |
70 | If you wish to use a command-line filter tool, try the spamassassin | |
71 | or the spamd/spamc tools provided. |