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Source: tlsh
Maintainer: Debian Security Tools <team+pkg-security@tracker.debian.org>
Uploaders: Sven Geuer <sge@debian.org>
Section: admin
Build-Depends:
cmake,
debhelper-compat (= 13),
dh-sequence-python3,
libpython3-all-dev,
python3-all-dev:any,
python3-docutils,
python3-setuptools,
Standards-Version: 4.7.3
Homepage: https://github.com/trendmicro/tlsh
Vcs-Git: https://salsa.debian.org/pkg-security-team/tlsh.git
Vcs-Browser: https://salsa.debian.org/pkg-security-team/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: libtlsh5
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:
libtlsh5 (= ${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.
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