wannacry-soc-lab

WannaCry SOC Investigation Lab Overview This project simu...

From Attack Simulation to SIEM Rule: Deterministic Detection-As-Code Synthesis with Probe-Level Traceability

Security teams routinely simulate attacks against their own systems to check whether their monitoring would catch a real intruder. These Breach-and-Attack-Simulation BAS tools surface findings, but the security information and event management SIEM systems that watch production need detection rul...

TTPrint: Evidence-Grounded TTP Extraction Via Diverge-Then-Converge Verification

Extracting MITRE ATT&CK techniques from cyber threat intelligence CTI reports is an open-set, multi-label problem requiring both high recall not missing techniques and high precision not hallucinating unsupported ones. Existing methods--rule-based, supervised, and LLM-based--struggle to achieve...

SOC-Alert-Investigation-Portfolio

SOC Alert Investigation Portfolio This repository contains pr...

Operation-Molasses

🍯 OPERATION MOLASSES PEKMEZ Zencefil Efendi's Cyber Dow...

Context-Aware Web Attack Detection in Open-Source SIEM Systems Via MITRE ATT&CK-Enriched Behavioral Profiling

Security Information and Event Management SIEM systems aggregate log data from heterogeneous sources to detect coordinated attacks. Traditional rule-based correlation engines struggle to classify multi-step web application attacks because they examine each event without reference to the behaviour...

cyber-operation-lab

Full-Spectrum Cyber Operation Lab: Red Team Execution & Blue T...

OpenSOC-AI: Democratizing Security Operations with Parameter Efficient LLM Log Analysis

Small and medium sized businesses SMBs face an escalating cybersecurity threat landscape, yet most lack the resources to staff full Security Operations Centers SOCs or deploy enterprise grade detection platforms. This paper presents OpenSOC-AI, a lightweight log analysis framework that uses...

BuildReview2

BuildReview2 - Attack-Path-Driven Windows Host Review A rewri...

MITRE: CVE-2026-25250 Secure Boot disable Eazy Fix

Missing cryptographic step in Windows Secure Boot allows an authorized attacker to bypass a security feature locally...

redhound-arsenal

Red Hound Arsenal Agent-consumable security skill library for...

ide-task-rce

⚡ IDE Folder-Open RCE: Automatic Task Execution Vulnerability...

DeepStage: Learning Autonomous Defense Policies against Multi-Stage APT Campaigns

This paper presents DeepStage, a deep reinforcement learning DRL framework for adaptive, stage-aware defense against Advanced Persistent Threats APTs. The enterprise environment is modeled as a partially observable Markov decision process POMDP, where host provenance and network telemetry are fus...

Learning the APT Kill Chain: Temporal Reasoning over Provenance Data for Attack Stage Estimation

Advanced Persistent Threats APTs evolve through multiple stages, each exhibiting distinct temporal and structural behaviors. Accurate stage estimation is critical for enabling adaptive cyber defense. This paper presents StageFinder, a temporal graph learning framework for multi-stage attack...

Redteam-Automation

🔴 AI-Driven Red Team Simulation Framework A production-ready...

When SPNs Go Rogue: Detection and Remediation with Trellix NDR

When SPNs Go Rogue: Detection and Remediation with Trellix NDR By Maulik Maheta and Henry Bernabe · February 10, 2026 Executive summary Service Principal Names SPNs are essential for Kerberos authentication in Active Directory AD, but misconfigurations, such as assigning SPNs to standard user...

Metasploit Wrap-Up 02/06/2026

Google Summer of Code 2026 Our very own Jack Heysel has added some documentation which outlines the Metasploit Framework project ideas for GSoC 2026. For anyone interested in applying please see GSoC-How-To-Apply documentation, or reach out on slack to any of the following GSoC mentors on Slack v...

Turning threat reports into detection insights with AI

Security teams routinely need to transform unstructured threat knowledge, such as incident narratives, red team breach-path writeups, threat actor profiles, and public reports into concrete defensive action. The early stages of that work are often the slowest. These include extracting tactics,...

Turning threat reports into detection insights with AI

Security teams routinely need to transform unstructured threat knowledge, such as incident narratives, red team breach-path writeups, threat actor profiles, and public reports into concrete defensive action. The early stages of that work are often the slowest. These include extracting tactics,...

Constructing Multi-Label Hierarchical Classification Models for MITRE ATT&CK Text Tagging

MITRE ATT&CK is a cybersecurity knowledge base that organizes threat actor and cyber-attack information into a set of tactics describing the reasons and goals threat actors have for carrying out attacks, with each tactic having a set of techniques that describe the potential methods used in these...