tlsh 3.4.4+20151206-1.1ubuntu1 source package in Ubuntu

Changelog

tlsh (3.4.4+20151206-1.1ubuntu1) focal; urgency=medium

  * Use python2 instead of python in the autopkg test.

 -- Matthias Klose <email address hidden>  Thu, 24 Oct 2019 21:29:19 +0200

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Uploaded by:
Matthias Klose
Uploaded to:
Focal
Original maintainer:
Jeremy Bobbio
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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Series Pocket Published Component Section

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File Size SHA-256 Checksum
tlsh_3.4.4+20151206.orig.tar.gz 1.4 MiB 9164f85887c02573614239a3935e9f1543b0c4b4922818e54b89866b6321d042
tlsh_3.4.4+20151206-1.1ubuntu1.debian.tar.xz 9.2 KiB 3b3c5ed054ad59652d87f8f868e650faf4af6ffef2ceb80f92662777742c57bd
tlsh_3.4.4+20151206-1.1ubuntu1.dsc 2.3 KiB 62947d3fcef33594ae4d071e3fe3dcff6364eb5f2b832ba22e93c88d29bb23f6

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Binary packages built by this source

libtlsh-dev: fuzzy hashing library - development files

 The Trend Micro Locality Sensitive Hash is a fuzzy hash algorithm that can be
 used to compare similar but not identical files.
 .
 Identifying near duplicates and similar files is known to be useful to
 identify malware samples with similar binary file structure, variants of spam
 email, or backups with corrupted files.
 .
 This package contains the development headers and the static library.

libtlsh0: fuzzy hashing library

 The Trend Micro Locality Sensitive Hash is a fuzzy hash algorithm that can be
 used to compare similar but not identical files.
 .
 Identifying near duplicates and similar files is known to be useful to
 identify malware samples with similar binary file structure, variants of spam
 email, or backups with corrupted files.
 .
 This package contains the shared library itself.

libtlsh0-dbgsym: debug symbols for libtlsh0
python-tlsh: No summary available for python-tlsh in ubuntu focal.

No description available for python-tlsh in ubuntu focal.

python-tlsh-dbgsym: No summary available for python-tlsh-dbgsym in ubuntu focal.

No description available for python-tlsh-dbgsym in ubuntu focal.

python3-tlsh: fuzzy hashing library - Python3 module

 The Trend Micro Locality Sensitive Hash is a fuzzy hash algorithm that can be
 used to compare similar but not identical files.
 .
 Identifying near duplicates and similar files is known to be useful to
 identify malware samples with similar binary file structure, variants of spam
 email, or backups with corrupted files.
 .
 This package contains the Python3 module.

python3-tlsh-dbgsym: debug symbols for python3-tlsh
tlsh-tools: compare similar files using fuzzy hashing

 The Trend Micro Locality Sensitive Hash is a fuzzy hash algorithm that can be
 used to compare similar but not identical files.
 .
 Identifying near duplicates and similar files is known to be useful to
 identify malware samples with similar binary file structure, variants of spam
 email, or backups with corrupted files.
 .
 This package contains the tlsh_unittest utility, a command-line tool to
 generate TLSH hash values and compare TLSH hash values to determine
 similar files.

tlsh-tools-dbgsym: debug symbols for tlsh-tools