petereport

PeTeReport PeTeReport Pe nTe st Report is an open-source application vulnerability reporting tool designed to assist pentesting/redteaming efforts, by simplifying the task of writting and generation of reports. Focused in product security, the tool help security researchers and pentesters to...

stride-gpt

STRIDE GPT est un outil de modélisation des menaces propulsé par l'IA qui s'appuie sur les grands modèles de langage LLM pour générer des modèles de menaces et des arbres d'attaque pour une application donnée, selon la méthodologie STRIDE. Les utilisateurs fournissent les détails de l'application...

drawio-threatmodeling

Draw.io libraries for threat modeling This is a collection of custom libraries to turn the free and cross-platform Draw.io diagramming application into the perfect tool for threat modeling. Data Flow Diagrams Data Flow Diagramming is a simple diagramming technique used to gain an understanding of...

The_Automotive_Threat_Modeling_Template

Background A threat modeling workshop for automotive-related technologies requires DFDs with custom elements, tailored threats and specific recommendations. The lack of a specific template for automotive threat modeling brought about the development of the Automotive Threat Modeling Template, whi...

ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping

Threat modeling is essential for secure software development, yet manual analysis of cloud-native architectures is slow and demands scarce security expertise. We present ThreatForest, a multi-agent system that generates structured attack trees from source code repositories, maps attack steps to...

stride-gpt v0.19.0

STRIDE GPT is an AI-powered threat modelling tool that leverages Large Language Models LLMs to generate threat models and attack trees for a given application based on the STRIDE methodology. Users provide application details, such as the application type, authentication methods, and whether the...

A Data-Driven Security Quantification Framework for IoT-Based Systems

The Internet of Things IoT is integral to modern cyber-physical systems. Quantitative cybersecurity assessment in IoT environments remains challenging due to heterogeneous system architectures, evolving threat landscapes, and the limited availability of reliable probabilistic exploitability data...

MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study

LLMs are increasingly deployed as autonomous agents with access to tools, databases, and external services, yet practitioners across different sectors lack systematic methods to assess how known threat classes translate into concrete risks within a specific agentic deployment. We present MATRA, a...

claude-code-pentest

claude-code-pentest 6 Claude Code skills that automate th...

A Unified Compositional View of Attack Tree Metrics

Attack trees ATs are popular graphical models for reasoning about the security of complex systems, allowing for the quantification of risk through so-called AT metrics. A large variety of different such AT metrics have been proposed, and despite their wide-spread practical use, no systematic...

STAF: Leveraging LLMs for Automated Attack Tree-Based Security Test Generation

In modern automotive development, security testing is critical for safeguarding systems against increasingly advanced threats. Attack trees are widely used to systematically represent potential attack vectors, but generating comprehensive test cases from these trees remains a labor-intensive,...

Bridging Threat Models and Detections: Formal Verification Via CADP

Threat detection systems rely on rule-based logic to identify adversarial behaviors, yet the conformance of these rules to high-level threat models is rarely verified formally. We present a formal verification framework that models both detection logic and attack trees as labeled transition syste...

WATCHDOG: an Ontology-AWare Risk AssessmenT ApproaCH Via Object-Oriented DisruptiOn Graphs

When considering risky events or actions, we must not downplay the role of involved objects: a charged battery in our phone averts the risk of being stranded in the desert after a flat tyre, and a functional firewall mitigates the risk of a hacker intruding the network. The Common Ontology of Val...

Modeling Interdependent Cybersecurity Threats Using Bayesian Networks: a Case Study on In-Vehicle Infotainment Systems

Cybersecurity threats are increasingly marked by interdependence, uncertainty, and evolving complexity challenges that traditional assessment methods such as CVSS, STRIDE, and attack trees fail to adequately capture. This paper reviews the application of Bayesian Networks BNs in cybersecurity ris...

PeTeReport Cross-Site Scripting Vulnerability

PeTeReport is an open source application vulnerability reporting tool. PeTeReport has a cross-site scripting vulnerability that stems from the software's lack of filtering and escaping of user data, which could be exploited by an attacker to inject persistent JavaScript code through an...

PeTeReport 跨站脚本漏洞

PeTeReport is an open source application vulnerability reporting tool. PeTeReport has a cross-site scripting vulnerability that stems from the software's lack of filtering and escaping of user data, which could be exploited by an attacker to inject persistent JavaScript code through an...