msticpy

MSTIC Jupyter and Python Security Tools Microsoft Threat Intelligence Python Security Tools. msticpy is a library for InfoSec investigation and hunting in Jupyter Notebooks. It includes functionality to: query log data from multiple sources enrich the data with Threat Intelligence, geolocations a...

crime-mapper

Enabling cyber investigations from a browser A prototype tool for mapping cyber crime Created by @UKDanielCard The experimental version is the live, bleeeding edge version Live Demo is largely where I'm storing a relatively stable version... but this is all DEV! IF YOU WANT TO REALLY TEST THIS,...

MalPipe

MalPipe //\ | | / / \ / | |/ // | ' \ / \ / //\ \ | | / /| | | | / / /,|/ || ./ | || MalPipe is a modular malware and indicator collection and processing framework. It is designed to pull malware, domains, URLs and IP addresses from multiple feeds, enrich the collected data and export the...

ACE

Automated Collection and Enrichment The Automated Collection and Enrichment ACE platform is a suite of tools for threat hunters to collect data from many endpoints in a network and automatically enrich the data. The data is collected by running scripts on each computer without installing any...

ThreatSentry-AI

ThreatSentry AI: AI-Powered Threat Hunting Tool Automate external asset discovery, intelligently enrich with multi-source data, and leverage ensemble machine learning to predict and prioritize risk. Transform alert fatigue into actionable intelligence. 🚀 Mission Statement ThreatSentry AI eliminat...

tenzir v6.15.0

Data Pipelines for Security Teams Collect, transform, enrich, and route your telemetry—all in one place. What is Tenzir? Tenzir is the data pipeline engine for security teams. If you need to collect, parse, shape, normalize, aggregate, store, query, and route security telemetry data at scale,...

tenzir v6.8.1

Data Pipelines for Security Teams Collect, transform, enrich, and route your telemetry—all in one place. What is Tenzir? Tenzir is the data pipeline engine for security teams. If you need to collect, parse, shape, normalize, aggregate, store, query, and route security telemetry data at scale,...

kev-investigator

KEV Investigator An automated investigation draft generator f...

The Backlog Became Policy

& In February, we called the gap between CVE disclosure and scanner signatures the "breach zone." On April 15, 2026, NIST made that gap permanent — and signatureless detection stopped being an advantage. It became a requirement. This post updates Attackers Don't Need Signatures. Neither Should Yo...

Exploit for Code Injection in Pivotal_Software Spring_Data_Commons

SpringBoot-Toolkit An interactive penetration-testing tool de...

Toward Cybersecurity-Expert Small Language Models

Large language models LLMs are transforming everyday applications, yet deployment in cybersecurity lags due to a lack of high-quality, domain-specific models and training datasets. To address this gap, we present CyberPal 2.0, a family of cybersecurity-expert small language models SLMs ranging fr...

Nemesis - An Offensive Data Enrichment Pipeline

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...

“The mother of all breaches”: 26 billion records found online [Updated]

Security researchers have discovered billions of exposed records online, calling it the "mother of all breaches". However, the dataset doesnt seem to be from one single data breach, but more a compilation of multiple breaches. These sets are often created by data enrichment companies. Data...

Excelerating Analysis, Part 2 — X[LOOKUP] Gon’ Pivot To Ya

In December 2019, we published a blog post on augmenting analysis using Microsoft Excel for various data sets for incident response investigations. As we described, investigations often include custom or proprietary log formats and miscellaneous, non-traditional forensic artifacts. There are, of...

Clustering App Attacks with Machine Learning Part 1: A Walk Outside the Lab

A lot of research has been done on clustering attacks of different types using machine learning algorithms with high rates of success. Much of it from the comfort of a research lab, with specific datasets and no performance limitations. At Imperva, our research is done for the benefit of real...

ACE - Automated, Collection, and Enrichment Platform

The Automated Collection and Enrichment ACE platform is a suite of tools for threat hunters to collect data from many endpoints in a network and automatically enrich the data. The data is collected by running scripts on each computer without installing any software on the target. ACE supports...

Open Source OpenSOC Security Analytics Framework Released

Cisco announced today that it has made available through open source a framework that integrates data analytics tools into security operations. “The OpenSOC framework helps organizations make big data part of their technical security strategy by providing a platform for the application of anomaly...