tlsh 3.4.4+20151206-1.4build1 source package in Ubuntu

Changelog

tlsh (3.4.4+20151206-1.4build1) jammy; urgency=medium

  * No-change rebuild with Python 3.10 only

 -- Graham Inggs <email address hidden>  Thu, 17 Mar 2022 20:15:19 +0000

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Kinetic release universe misc
Jammy release universe misc

Downloads

File Size SHA-256 Checksum
tlsh_3.4.4+20151206.orig.tar.gz 1.4 MiB 9164f85887c02573614239a3935e9f1543b0c4b4922818e54b89866b6321d042
tlsh_3.4.4+20151206-1.4build1.debian.tar.xz 10.0 KiB 956172a0819952f198988cd6ee659524fa834a5a1905c7547d6d7cbfcab1e812
tlsh_3.4.4+20151206-1.4build1.dsc 2.2 KiB 8e8dce77bd6b530a5df5ae35d0d9d2bab0b644f12fd17fa432ff2efbe0c2335f

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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