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Source: tlsh
Maintainer: Jérémy Bobbio <lunar@debian.org>
Section: admin
Priority: optional
Build-Depends: cmake,
debhelper (>= 9),
dh-python,
libpython-all-dev,
libpython3-all-dev,
python-all-dev:any,
python3-all-dev:any,
python-docutils,
python-setuptools
Rules-Requires-Root: no
Standards-Version: 3.9.6
Homepage: https://github.com/trendmicro/tlsh
Vcs-Git: git://anonscm.debian.org/collab-maint/tlsh.git
Vcs-Browser: https://anonscm.debian.org/cgit/collab-maint/tlsh.git
X-Python-Version: >= 2.7
Package: tlsh-tools
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: 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.
Package: libtlsh0
Section: libs
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: 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.
Package: libtlsh-dev
Section: libdevel
Architecture: any
Depends: libtlsh0 (= ${binary:Version}), ${misc:Depends}
Description: 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.
Package: python-tlsh
Section: python
Architecture: any
Depends: ${python:Depends}, ${shlibs:Depends}, ${misc:Depends}
Description: fuzzy hashing library - Python 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 Python module.
Package: python3-tlsh
Section: python
Architecture: any
Depends: ${python3:Depends}, ${shlibs:Depends}, ${misc:Depends}
Description: 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.
|
