tlsh 3.4.4+20151206-1 source package in Ubuntu
Changelog
tlsh (3.4.4+20151206-1) unstable; urgency=low
* New upstream release.
* Be explicit in which buildsystem we want to use in debian/rules.
* Remove generated version files in clean rules.
* Put misc:Depends after shlibs:Depends in debian/control.
* Ship tlsh shared library now that upstream has made the required
changes. This adds three new patches and one autopkgtest which tries
to build and run a test program.
* Add a patch to call Tlsh constructor when creating Tlsh objects in
Python.
-- Jérémy Bobbio <email address hidden> Sat, 16 Jan 2016 16:19:58 +0100
Upload details
- Uploaded by:
- Jeremy Bobbio
- Uploaded to:
- Sid
- Original maintainer:
- Jeremy Bobbio
- Architectures:
- any
- Section:
- misc
- Urgency:
- Low Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| tlsh_3.4.4+20151206-1.dsc | 2.1 KiB | 9a00db503860823366520047990a3cfcbd2680e4b6058a4bb6a3c3677be2a70f |
| tlsh_3.4.4+20151206.orig.tar.gz | 1.4 MiB | 9164f85887c02573614239a3935e9f1543b0c4b4922818e54b89866b6321d042 |
| tlsh_3.4.4+20151206-1.debian.tar.xz | 8.9 KiB | a4191bc6cb0f9b778a3f805378decd1b1284ff3943147a7ef41ec021515503fc |
Available diffs
No changes file available.
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.
- python-tlsh: 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.
- 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.
- 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.
