Source: tlsh Maintainer: Jérémy Bobbio Section: admin Priority: optional Build-Depends: cmake, debhelper-compat (= 13), dh-sequence-python3, libpython3-all-dev, python3-all-dev:any, python3-docutils, python3-setuptools, Rules-Requires-Root: no Standards-Version: 4.6.0 Homepage: https://github.com/trendmicro/tlsh Vcs-Git: https://salsa.debian.org/debian/tlsh.git Vcs-Browser: https://salsa.debian.org/debian/tlsh Package: tlsh-tools Architecture: any Depends: ${misc:Depends}, ${shlibs: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: libtlsh4 Section: libs Architecture: any Multi-Arch: same Depends: ${misc:Depends}, ${shlibs: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 Multi-Arch: same Depends: libtlsh4 (= ${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: python3-tlsh Section: python Architecture: any Multi-Arch: same Depends: ${misc:Depends}, ${python3:Depends}, ${shlibs: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.