Web decoys are effective cybersecurity tools that help organizations detect and defend against cyberattacks on their web servers. These decoys create the appearance of vulnerable web resources or pages that attract the attention of attackers and reveal their methods and tactics. Using web decoys allows organizations to identify potential vulnerabilities in web applications, recognize and monitor attacks, and provide analysis of attacker behavior. These decoys can include fake web pages, file downloads, or phishing emails that attract the attention of hackers and help reveal their intentions. Web decoys are used to understand and predict potential cyber attacks, enabling organizations to take appropriate security measures. They also help improve security systems and prevent potential vulnerabilities.
Web decoys are important components of a cybersecurity strategy aimed at protecting web servers and web applications. They help organizations identify potential threats and detect illegal or malicious activities targeting their web resources. With web decoys, organizations can recreate real attack scenarios and intercept the data that attackers are trying to obtain. This allows you to identify vulnerabilities and weak points in the protection of web systems and take appropriate measures to prevent them. Web decoys can also gather valuable information about attack methods and hacker groups, which helps improve overall cybersecurity. This data can be used to analyze threats, develop effective defense strategies, and prevent future attacks. The general purpose of using web decoys is to increase the security of web servers and applications, provide protection against cyber attacks, and prevent data loss or system damage. Effective use of web decoys helps organizations stay one step ahead of attackers and keep their web resources secure.
A multi-protocol decoy that covers everything from FTP to SIP (VoIP attacks). Dionaea has a modular architecture and uses Python as a scripting language for protocol emulation. It can simulate the execution of a malware payload using LibEmu.
SHARE is a repository of a web decoy sensor similar to Glastopf capable of turning web pages into attack surfaces. TANNER is the “brain” of this trap. Each event sent from SNARE to TANNER is evaluated and TANNER decides how the decoy should react.
A small decoy program that can be easily deployed on Linux and Windows systems. Can run multiple emulations of network services using plug-in plugins. Can work standalone or as part of a global monitoring network HoneyDB.
A low-interaction decoy targeting web crawlers and bots. Responds to their requests from various protocols. Integrates with IVRE and allows you to collect IP blacklists just like it does GreyNoise.
It is a penetration testing tool used to scan and analyze network security. Provides a wide range of features including password cracking, web application attacks, and system penetration testing.
A Python-based web-baiting utility. It makes it easy to set up fake web servers and web services, respond at the HTTP layer with whatever data you want, and log requests sent to the server.
Cross-platform utility for simulating network services. It is designed to support as many protocols as possible and deep interaction with them.
A simple decoy that collects credentials. Supports protocols: ftp, telnet, ssh, http, https, pop3, pop3s, imap, imaps, smtp, vnc, and socks5.
It is a UDP-based decoy for tracking and monitoring distributed DDoS attacks. Emulates DNS, NTP, SSDP, CHARGEN, arbitrary UDP servers.
The first of four MushMush Foundation NPO projects is a Python-based decoy that simulates file usage via PHP and HTML injection via POST requests.
A yaml-configurable framework for creating SSH, HTTP, and TCP honeypots. Integrates with RabbitMQ and OpenAPI ChatBot GPT-3.
A decoy designed to actively deceive and simulate vulnerabilities in web applications. Allows you to quickly replace Webshell, ReverseShell with bait.