tlsh 3.4.4+20151206-1.4build4 source package in Ubuntu
Changelog
tlsh (3.4.4+20151206-1.4build4) noble; urgency=medium * No-change rebuild with Python 3.12 as supported version -- Graham Inggs <email address hidden> Tue, 31 Oct 2023 18:02:19 +0000
Upload details
- Uploaded by:
- Graham Inggs
- Uploaded to:
- Noble
- Original maintainer:
- Jeremy Bobbio
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| tlsh_3.4.4+20151206.orig.tar.gz | 1.4 MiB | 9164f85887c02573614239a3935e9f1543b0c4b4922818e54b89866b6321d042 |
| tlsh_3.4.4+20151206-1.4build4.debian.tar.xz | 10.1 KiB | 4b02ab1b0054f32f0d644f2b056a4aefb60c4e0561bcbf0bac2ec3825d8c50cf |
| tlsh_3.4.4+20151206-1.4build4.dsc | 2.2 KiB | bef1864b737a45118343fd8b3fdbb8611148ae750a8dffc005df234756aa845b |
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
