catsploit

CATSploit🐈 CATSploit is an automated penetration testing tool using Cyber Attack Techniques Scoring CATS method that can be used without pentester. Currently, pentesters implicitly made the selection of suitable attack techniques for target systems to be attacked. CATSploit uses system...

Misconfiguration-Manager

Misconfiguration Manager Remediation Quick Start 1. Review the list of known and documented Attack Techniques and corresponding Defense Techniques to identify issues that may be present in your environment and how to remediate them Refer to this introduction to the project 2. Run ConfigManBearPig...

GOAD

GOAD v3 🔖 Documentation : https://orange-cyberdefense.github.io/GOAD/ Description GOAD is a pentest active directory LAB project. The purpose of this lab is to give pentesters a vulnerable Active directory environment ready to use to practice usual attack techniques. !CAUTION This lab is extremel...

browser-identity-attacks-matrix

Browser & Identity Attacks Matrix This repository is a collection of browser and identity attack techniques covering SaaS apps, browser-based attacks, identity providers, and phishing. It is intended to be a resource for security researchers, red/blue teams, and penetration testers to learn about...

metagoofil

Metagoofil 2.2 Coded by Christian Martorella www.edge-security.com [email protected] What is this? Metagoofil is a tool for extracting metadata of public documents pdf,doc,xls,ppt,etc availables in the target websites.This information could be useful because you can get valid usernames, peop...

Black Hat USA 2024 Conference Slides

Black Hat USA 2024 conference slides for topics Self-Hosted GitHub CI/CD Runners: Continuous Integration, Continuous Destruction, From Weapon to Target: Quantum Computers Paradox, Listen Up: Sonos Over-The-Air Remote Kernel Exploitation and Covert Wiretap, Windows Downdate: Downgrade Attacks Usin...

An analysis of incidents at Brazilian educational institutions

Introduction Because of the amount of data that can be obtained and the high impact that successful attacks may have, educational institutions are frequent targets of cybercriminals. Both public and private schools and universities rely on software for managing personally identifiable information...

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response

Large Language Model LLM agents are increasingly adopted in real-world security operations with access to host artifacts and command-line interfaces CLIs, making it critical to thoroughly assess their security capabilities. However, existing cybersecurity benchmarks focus on pre-compromise settin...

Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion

We present a reproducible pipeline for mapping Common Vulnerabilities and Exposures CVEs to MITRE ATT&CK Enterprise techniques from free-text vulnerability descriptions. Rather than relying on the CWE-CAPEC-ATT&CK derivation chain, whose table-expansion artifacts we quantify, we train a multi-lab...

Evaluating Open-Weight LLMs for Generating Structured Threat Information for Autonomous Vehicle Vulnerabilities

Connected and Autonomous Vehicles CAVs rely on interconnected software and hardware components, including sensors, Electronic Control Units, in-vehicle infotainment systems, and telematics units, where vulnerabilities can compromise assets, users, and vehicle operations. These vulnerabilities are...

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation

Large Language Models are increasingly deployed in Security Operations Centers for log analysis tasks including summarization, alert triage, and threat investigation. These systems ingest logs from external-facing services and process network logs as natural language contexts to generate security...

ProvICS: A Provenance-Based Intrusion Detection for Industrial Control Systems

The convergence of Information Technology and Operational Technology has exposed Industrial Control Systems ICS to multi-stage cyberattacks that traverse software, network, and physical process layers simultaneously. Although Provenance-based Intrusion Detection Systems PIDS are effective in...

CVE-TTP KG: Knowledge Graph Linking Software Vulnerabilities to Attack Behaviors

In the evolving threat landscape, adversaries exploit software vulnerabilities to launch sophisticated attacks, challenging traditional defenses. Although databases like CVE and NVD provide detailed technical information, they often lack links to attacker behaviors such as tactics and techniques,...

TONResolver RAT Abuses TON Blockchain to Target Japan's Hotel Industry

In this blog entry, TrendAI™ Research examines a wave of phishing emails observed in May 2026 that targeted Japanese accommodation facilities using Booking.com, detailing the victims, attack techniques used, and characteristics of the malware involved...

AttackGraph

AttackGraph AI AttackGraph AI is an AI-powered application se...

TGCM: Topic-Guided Generative Disentanglement of Interleaved APT Technique Sequences

In enterprise environments, multiple Advanced Persistent Threat APT campaigns often unfold concurrently, producing audit logs in which attack techniques across actors sources are interleaved over time. This setting naturally gives rise to an Unknown-K Interleaved Sequence Demixing UKISD problem:...

Data Agents under Attack: Vulnerabilities in LLM-Driven Analytical Systems

Data agents integrate LLM-driven reasoning with relational data access, executable analytical tools, and multi-step workflow orchestration, making them increasingly central to enterprise analytics. This integration introduces new security vulnerabilities across data resources, database execution,...

SWPT-Notes

SWPT-Notes Personal study notes compiled while working throug...

SMSI: System Model Security Inference: Automated Threat Modeling for Cyber-Physical Systems

Threat modeling for cyber-physical systems CPS remains a largely manual exercise. This project presents SMSI System Model Security Inference, a hybrid neuro-symbolic pipeline that starts from a SysML architecture model and produces a prioritized list of NIST 800-53 security controls. The prototyp...

Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps

We introduce the Cyber Defense Benchmark, a benchmark for measuring how well large language model LLM agents perform the core SOC analyst task of threat hunting: given a database of raw Windows event logs with no guided questions or hints, identify the exact timestamps of malicious events. The...