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| tlsh | shash | |
|---|---|---|
| 3 | 1 | |
| 712 | 48 | |
| 2.2% | - | |
| 5.8 | 10.0 | |
| about 2 months ago | almost 13 years ago | |
| Max | C | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tlsh
Posts with mentions or reviews of tlsh.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-10.
-
Collaboration needed: open source malware categorization platform
in this paper trend micro goes through why TLSH provides a better way to cluster malware samples than ssdeep: https://github.com/trendmicro/tlsh/blob/master/TLSH_CTC_final.pdf
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HELP!! Looking for software that can analyze “SIMILAR” files close to being a duplicate.
Have a look at this: https://github.com/trendmicro/tlsh
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Introduction to Locality-Sensitive Hashing
It's used in the cybersecurity world for fuzzy file comparison. See https://github.com/trendmicro/tlsh
shash
Posts with mentions or reviews of shash.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-10.
-
HELP!! Looking for software that can analyze “SIMILAR” files close to being a duplicate.
You can get shash from https://github.com/vilda/shash. I had very little trouble building it under FreeBSD and Linux:
What are some alternatives?
When comparing tlsh and shash you can also consider the following projects:
ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python
czkawka - Multi functional app to find duplicates, empty folders, similar images etc.
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk