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 | 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 |
Available diffs
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