TheHive-Project / TheHive-Project/Cortex-Analyzers

Idea for HASH vs Google Analyzer

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scope:question
Dominant language
Python
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Avg merge
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Merged PRs (30d)
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Description

Request Type

Analyzer

Description

Often the hashes added as observables can be easlily identified as malicious with a simple search on google.
So I'm wondering why run other analyzers (paid) to retrieve the same information?
We're using MechanicalSoup to search a list of malicious md5 in google and obtain a list of domains that help us to identify the md5 as malicious. (eg malwr.com, virscan.org, abuse.ch)

Possible workflow

Basically the concept is:

  1. have an hash eg. 05ECFEC990F9D17B770312811E1E8B54
  2. add as observable in the hive
  3. run first google analyzer
  4. if found in domains like hybrid-analysis.com, packettotal.com don't run other analyzers (this is the case)
  5. if not found in google analyzer, run other (paid) analyzers

Problem is how to assign automatically the taxonomy score (found/not found is easy, but malicious / not malicious less)

Do you have any thought? Do you think that could be useful?

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the proposed Google-search workflow and the existing analyzer integrations described in the issue. Determine how a Google result would be represented and how the workflow could distinguish found indicators from malicious ones; completion criteria are not defined beyond avoiding unnecessary paid analyzer runs.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
security
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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