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https://issues.apache.org/jira/browse/METRON-1052?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16186668#comment-16186668
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ASF GitHub Bot commented on METRON-1052:
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Github user mattf-horton commented on the issue:
https://github.com/apache/metron/pull/781
Altho I suppose the "Locality-Sensitive" part of TLSH means it operates at
word level instead of byte or character level?
> Add forensic similarity hash functions to Stellar
> -------------------------------------------------
>
> Key: METRON-1052
> URL: https://issues.apache.org/jira/browse/METRON-1052
> Project: Metron
> Issue Type: Improvement
> Reporter: Jon Zeolla
>
> This is a follow-on to METRON-539. Currently we have Stellar functions to
> perform cryptographic hashing operations. It would be useful to expand this
> to support forensic similarity hash functions so we could compare the
> similarity of inputs. I can see two main components of this, and one
> secondary/lower priority thought:
> (1) Support of LSH and/or CCTP hash functions (aka forensic similarity hash
> functions) such as sdhash or spamsum/ssdeep. I quickly found some code
> examples[1][2] in Java that have compatible licenses, in case that is
> appealing.
> (2) An approximate string matching function to establish a similarity rating
> between n hashes. ssdeep currently has this via its -x and -k options, and
> there are some other thoughts[3] on how to best do this, but I'm aware there
> are numerous ways that we may want to consider comparing strings for
> similarity (damerau-levenshtein distance, longest common subsequence, etc.).
> (3) Similar to 2, I could see some applicability as a streaming enrichment,
> but as a native feature this would be a much lower priority/potentially a
> separate PR.
> 1:
> https://github.com/pcbje/autopsy-ahbm/blob/master/src/com/pcbje/ahbm/Sdhash.java
> 2: https://github.com/tdebatty/java-spamsum
> 3:
> https://www.virusbulletin.com/virusbulletin/2015/11/optimizing-ssdeep-use-scale
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