tlsh 3.4.4+20151206-1.4build5 source package in Ubuntu

Changelog

tlsh (3.4.4+20151206-1.4build5) noble; urgency=medium

  * No-change rebuild with Python 3.12 only

 -- Graham Inggs <email address hidden>  Thu, 11 Apr 2024 10:55:29 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Noble
Original maintainer:
Jeremy Bobbio
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc

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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+20151206-1.4build5.debian.tar.xz 10.1 KiB 757c3464d339e855a278ac80d656c30005c2e1664f22875e352df89c05dae6c3
tlsh_3.4.4+20151206-1.4build5.dsc 2.2 KiB 75b5a3c59a7eec1f2db4c9fd4beb74b20d5c1ee97112780680e634877a1577d0

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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
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