tlsh 3.4.4+20151206-1.1ubuntu1 source package in Ubuntu
Changelog
tlsh (3.4.4+20151206-1.1ubuntu1) focal; urgency=medium * Use python2 instead of python in the autopkg test. -- Matthias Klose <email address hidden> Thu, 24 Oct 2019 21:29:19 +0200
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Focal
- Original maintainer:
- Jeremy Bobbio
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
tlsh_3.4.4+20151206.orig.tar.gz | 1.4 MiB | 9164f85887c02573614239a3935e9f1543b0c4b4922818e54b89866b6321d042 |
tlsh_3.4.4+20151206-1.1ubuntu1.debian.tar.xz | 9.2 KiB | 3b3c5ed054ad59652d87f8f868e650faf4af6ffef2ceb80f92662777742c57bd |
tlsh_3.4.4+20151206-1.1ubuntu1.dsc | 2.3 KiB | 62947d3fcef33594ae4d071e3fe3dcff6364eb5f2b832ba22e93c88d29bb23f6 |
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
- python-tlsh: No summary available for python-tlsh in ubuntu focal.
No description available for python-tlsh in ubuntu focal.
- python-tlsh-dbgsym: No summary available for python-tlsh-dbgsym in ubuntu focal.
No description available for python-tlsh-dbgsym in ubuntu focal.
- 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