tlsh 3.4.4+20151206-1.4build3 source package in Ubuntu
Changelog
tlsh (3.4.4+20151206-1.4build3) lunar; urgency=medium * Rebuild to drop Python 3.10 extension -- Jeremy Bicha <email address hidden> Tue, 28 Feb 2023 19:45:32 -0500
Upload details
- Uploaded by:
- Jeremy Bícha
- Uploaded to:
- Lunar
- Original maintainer:
- Jeremy Bobbio
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Mantic | release | universe | misc | |
| Lunar | 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+20151206-1.4build3.debian.tar.xz | 10.1 KiB | 51e331b8895cd69d826494b3dad3c0e0038d1f12764586fe8a7c006bd221bfab |
| tlsh_3.4.4+20151206-1.4build3.dsc | 2.2 KiB | 52f301bf88aa0cb7801ea81141cf6e587cef7cc36756ca81a235841db37f562e |
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
