Attack Deception and Defense System

Attack Deception and Defense System

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Current Location： Home > Products > Network Security > Attack Deception and Defense System

Product Overview

RayTRAP is an intelligent Attack Deception and Defense System built on innovative twin decoy network technology. It rapidly generates highly realistic decoy environments that closely resemble the user's actual network environment by providing high-fidelity simulation, adaptive decoying, comprehensive analysis, and multi-method tracing. It can be widely applied in network security monitoring and defense for enterprises and organizations, providing capabilities such as internet attack threat analysis, internal network lateral movement threat detection and early warning, as well as monitoring and analysis for cyber defense exercises.

Key Features

Business Network Simulation
The system offers comprehensive simulation capabilities, supporting the emulation of various objects such as networks, devices, systems, databases, applications, services, and middleware. It supports distributed heterogeneous honeynets and enables high-fidelity multi-layer simulation of target business networks through website mirroring, system cloning, endpoint cloning, network traffic learning, and visual orchestration.
Attack Behavior Capturing
The system actively captures attacks using techniques such as virtual IPs, traffic forwarding, and Trunk deployment. It supports automatic deployment of decoy markers (honey tokens) and integrates with network asset mapping, attack surface analysis, XDR alerts, and real-time attack dynamics data to automatically adapt and optimize the honeynet. Additionally, it can collaborate with gateway devices to actively redirect attack traffic for analysis and defense.
Attack Detection and Analysis
The system collects attack data comprehensively, using multiple engines like behavioral baselines, correlation analysis, signature matching, threat intelligence, and behavioral models to identify known and unknown threats or anomalies. It visualizes the full attack kill chain based on the ATT&CK framework, enabling a detailed reconstruction of the attack process.
Attack Attribution and Forensics
By capturing attacker fingerprints, virtual identities, and attack methods, the system generates detailed attacker profiles. It supports attack behavior attribution, forensics, and active countermeasures like decoy poisoning to mislead or retaliate against attackers.
Attack Response
The system supports comprehensive event analysis and handling, offering multiple alert notification methods and producing internal threat intelligence. It also integrates with third-party systems via APIs to provide layered threat response and mitigation, effectively blocking and neutralizing attacks.
Centralized Management
The centralized management oversees distributed, hierarchical deployments, allowing unified management of honeypot data and risk events. It provides real-time insights into network attack, defense, and operational statuses using 3D visualization, offering a global perspective of network risk trends.

Competitive Advantages

Twin Honeynet Technology

WebRAY has innovatively developed its Twin Honeynet technology, which forms the core competitive advantage of this product. This technology integrates heterogeneous honeynets, lightweight SDN, full-spectrum simulation, business network twin capturing, and dynamic adaptive scheduling. It is coupled with advanced security technologies like cyberspace exploration, threat intelligence, attack surface analysis, situational awareness, risk assessment, and XDR. The result is an intelligent environment simulation and attack deception capability that overcomes traditional honeypot challenges, enabling full lifecycle automation in deployment, operation, and scalability.

High-Fidelity Simulation

Using the Twin Honeynet’s distributed heterogeneous architecture, the system supports virtualization, containerization, and software-based simulation. It enables rapid and high-fidelity, multi-layered simulation of target business networks through website mirroring, system cloning, endpoint cloning, network traffic learning, and visual orchestration.

Adaptive Deception

The system integrates with network asset mapping to enable quick virtual creation and automatic updates of high-fidelity twin honeynets. By collecting data from attack surface analysis, XDR alerts, and real-time attack dynamics, it automatically assesses the effectiveness of deception techniques and adapts the honeynet to optimize its performance.

Comprehensive Analysis

It supports multi-dimensional analysis of emulated objects, including Windows, Linux, macOS, containers, and software simulations. The system offers comprehensive attack detection and analysis, accurately identifying attack behaviors and reconstructing the full attack kill chain.

Multi-Faceted Attribution

The system leverages various countermeasures such as web-based attribution, intelligent decoys, reverse scanning, and decoy poisoning to accurately identify attackers and enhance attack attribution capabilities.

Application scenarios

Internet Attack Monitoring and Defense

Continuously monitor and capture attack attempts from the internet, providing real-time attack awareness. The system can collaborate with gateway devices to block attacks and share internal threat intelligence with other security products or platforms to enable proactive defense.

Internal Network Attack Monitoring and Warning

Internal networks often lack strict access control, making them susceptible to lateral movement by attackers. Unpatched vulnerabilities and weak passwords pose significant threats. By deploying this product, organizations can gain continuous awareness of internal network threats, quickly identifying compromised hosts infected with ransomware, mining malware, worms, or other malicious actors. The system provides timely alerts to security personnel regarding abnormal internal activities.

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