diablonova/nemesis

An offensive data enrichment pipeline

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Overview

Nemesis is an offensive data enrichment pipeline and operator support system.

Built on Kubernetes with scale in mind, our goal with Nemesis was to create a centralized data processing platform that ingests data produced during offensive security assessments.

Nemesis aims to automate a number of repetitive tasks operators encounter on engagements, empower operators’ analytic capabilities and collective knowledge, and create structured and unstructured data stores of as much operational data as possible to help guide future research and facilitate offensive data analysis.

Setup / Installation

See the setup instructions.

Usage

See the Nemesis Usage Guide.

Contributing / Development Environment Setup

See development.md

Further Reading

Post Name	Publication Date	Link
Hacking With Your Nemesis	Aug 9, 2023	https://posts.specterops.io/hacking-with-your-nemesis-7861f75fcab4
Challenges In Post-Exploitation Workflows	Aug 2, 2023	https://posts.specterops.io/challenges-in-post-exploitation-workflows-2b3469810fe9
On (Structured) Data	Jul 26, 2023	https://posts.specterops.io/on-structured-data-707b7d9876c6

Acknowledgments

Nemesis is built on large chunk of other people's work. Throughout the codebase we've provided citations, references, and applicable licenses for anything used or adapted from public sources. If we're forgotten proper credit anywhere, please let us know or submit a pull request!

We also want to acknowledge Evan McBroom, Hope Walker, and Carlo Alcantara from SpecterOps for their help with the initial Nemesis concept and amazing feedback throughout the development process.