dspam 3.10.1+dfsg-4ubuntu1 source package in Ubuntu

Changelog

dspam (3.10.1+dfsg-4ubuntu1) precise; urgency=low

  * Resynchronise with Debian.  Remaining changes:
    - Use maintscript support in dh_installdeb rather than writing out
      dpkg-maintscript-helper commands by hand.  We now simply Pre-Depend on
      a new enough version of dpkg rather than using
      'dpkg-maintscript-helper supports' guards, leading to more predictable
      behaviour on upgrades.

dspam (3.10.1+dfsg-4) unstable; urgency=low

  * Apply patch from upstream to use POSIX::ctime() instead of deprecated
    ctime.pl (Closes: #658950)
 -- Colin Watson <email address hidden>   Mon, 05 Mar 2012 14:17:08 +0000

Upload details

Uploaded by:
Colin Watson on 2012-03-05
Uploaded to:
Precise
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
mail
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Precise release on 2012-03-05 universe mail

Downloads

File Size SHA-256 Checksum
dspam_3.10.1+dfsg.orig.tar.gz 1014.5 KiB 52fe6d39faa110839b436e3e5037d23c0b2bce376cbfb2f1469e3675d55098d2
dspam_3.10.1+dfsg-4ubuntu1.debian.tar.gz 61.4 KiB 71bb19b266c1a9bd69f5ab6812820c26ddcf5611e187eacf2f33a84d9d6f8fe8
dspam_3.10.1+dfsg-4ubuntu1.dsc 2.6 KiB ed19cbb3eab3e2e567810517d47a0c4de6edf000721738f5bb09eb90920a02e5

View changes file

Binary packages built by this source

dspam: Scalable, fast and statistical anti-spam filter

 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package includes the DSPAM agent which provides.

dspam-dbg: debugging symbols for dspam

 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package includes the debugging symbols for the dspam package.

dspam-doc: Documentation for DSPAM anti-spam filter

 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package contains the documentation for DSPAM.

dspam-webfrontend: No summary available for dspam-webfrontend in ubuntu quantal.

No description available for dspam-webfrontend in ubuntu quantal.

libdspam7: Core message processing and classification functionality for DSPAM

 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package contains the library where people can link to.

libdspam7-dbg: No summary available for libdspam7-dbg in ubuntu quantal.

No description available for libdspam7-dbg in ubuntu quantal.

libdspam7-dev: No summary available for libdspam7-dev in ubuntu quantal.

No description available for libdspam7-dev in ubuntu quantal.

libdspam7-drv-hash: Hash backend for DSPAM anti-spam filter

 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package contains the hash backend.

libdspam7-drv-mysql: No summary available for libdspam7-drv-mysql in ubuntu quantal.

No description available for libdspam7-drv-mysql in ubuntu quantal.

libdspam7-drv-pgsql: No summary available for libdspam7-drv-pgsql in ubuntu quantal.

No description available for libdspam7-drv-pgsql in ubuntu quantal.

libdspam7-drv-sqlite3: sqlite3 backend for DSPAM anti-spam filter

 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package contains the sqlite3 backend.