Comments (2)
As discussed previously and in a similar way than velociraptor, there are multiple parts
- data ingestion: can be offline/local file or any siem/logs platform with variation in schema
- data analysis pre-built queries
- example notebooks & documentation
I started a bit on processing offline files (process, outbound connections, fim...) but it would be useful to know if they are directions of interest for community like specific queries/modules.
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Moved into discussion #611
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Related Issues (20)
- [Bug]: CI Build break due to unresolvable prospector dependency HOT 1
- [Bug]: Resource graph queries fail - Subscription ids have to be valid GUIDs HOT 2
- Support extensibility with plugins (TI, Data, Notebooklets, etc.)
- [Bug]: IoCExtract extract method ignores `defang` flag.
- Option to suppress progress bar output of ti_lookup.lookup_ioc() HOT 2
- Missing resources referenced in README.md HOT 2
- [Bug]: Avoid use of pandas.read_pickle HOT 1
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- GPT Request for TI investigation and enrichment HOT 1
- Add support for package-based msticpy extensions and plugins HOT 2
- [Bug]: Dataprovider bugs
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- [Bug]: Query splitting on a pre-defined query returns a runtime error HOT 2
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