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Orochi

Orochi is a collaborative forensic memory dump analysis framework.

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Orochi Description

Orochi is an open source framework for collaborative forensic memory dump analysis. Using Orochi, you and your collaborators can easily organize your memory dumps and analyze them all at the same time. Orochi architecture uses Volatility 3, saves Volatility results in ElasticSearch, distributes loads among nodes using Dask, uses Django as frontend, uses Postgresql to save users and analysis metadata such as status and errors, uses MailHog to manage the users registration emails, and uses Redis for caching.

Orochi FAQ

Common questions about Orochi including features, pricing, alternatives, and user reviews.

Orochi is Orochi is a collaborative forensic memory dump analysis framework.. It is a Security Operations solution designed to help security teams with Volatility, Redis, Memory Forensics.

Have more questions? Browse our categories or search for specific tools.

ALTERNATIVES

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A digital artifact extraction framework for extracting data from volatile memory (RAM) samples, providing visibility into the runtime state of a system.

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Web interface for the Volatility Memory Forensics Framework

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CIRTKit is a DFIR console built on the Viper Framework that integrates various forensic tools and provides modules for packet analysis, memory analysis, and automated incident response workflows.

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Rekall Logo

Rekall is a discontinued project that aimed to improve memory analysis methodology but faced challenges due to the nature of in-memory structure and increasing security measures.

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LiMEaide v2.0 Logo

Python tool for remotely or locally dumping RAM of a Linux client for digital forensics analysis.

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