Hacker Baits (Universal Baits for Different Threat Categories)

4 July 2023 4 minutes Author: Cyber Witcher

Universal baits for comprehensive protection against cyber attacks

Universal decoys are powerful cybersecurity tools designed to protect your organization against various categories of threats. They are created to attract the attention of attackers and reveal their intentions and tactics. These versatile decoys can include various types of phishing, fake web pages, malicious code, and other methods aimed at detecting threats. They help organizations gain valuable information about potential attacks and take appropriate defensive measures. The use of universal baits allows you to detect vulnerabilities in systems, identify potential threats and respond to them. This helps organizations to take effective security measures and ensure reliable protection against cyber attacks.

Universal decoys for different threat categories are an important component of your organization’s cybersecurity strategy. They allow you to detect and prevent various types of attacks, ensuring reliable protection of your systems and data. Using universal decoys for different threat categories is an effective approach to protecting your organization from cyberattacks. These decoys are designed with a wide range of possible threats in mind, allowing you to effectively detect and protect against a variety of attacks. According to the latest trends in cyber security, the use of universal decoys is a necessary element of a comprehensive protection strategy. They provide proactive protection, preventing potential attacks and providing valuable information for the next steps in securing your organization.

Universal baits for different categories of threats

Dshield

A set of scripts for configuring a Raspberry Pi as a DShield sensor – an attack monitoring system. It receives logs from volunteers around the world and uses them to analyze global trends.

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ADBHoney

A low-interaction decoy that simulates an Android device running the Android Debug Bridge (ADB) server process. Can help detect Android malware that deploys miners on phones and smart TVs.

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SentryPeer

A tool used to create and manage decentralized decoys on computer networks. Its main purpose is to detect intruders and unwanted activities on the network by creating decoys that attract their attention.

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Vmitools

Vmitools it is a library that makes it easy to monitor low-level information about a running virtual machine. Allows you to easily monitor the low-level details of a virtual machine by viewing its memory, intercepting hardware events and accessing vCPU registers. A very useful tool.

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Miniprint

Decoy printer with medium interaction. It looks like a standard network printer that accidentally found its way onto the public Internet. Supports a full-featured virtual file system in which attackers can read and write files and directories, saves print jobs in PostScript format, and keeps a log.

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Thug

A low-interaction honeypit based on Python. It is used to simulate the behavior of applications interacting with malicious content. Simply put, Thug pretends to be an unprotected browser. Implements a hybrid approach that combines static/dynamic threat analysis.

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Fibratus

A tool for investigating and tracing the Windows kernel. Allows you to intercept  events such as process life cycle, file system I/O, registry changes. Does not require drivers or third-party software to work. Potentially allows any Windows machine to be used as a highly interactive decoy.

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Bluepot

It is a software tool designed to deploy Bluetooth decoys to detect and analyze security threats in Bluetooth networks. It provides the ability to create virtual Bluetooth devices and emulate environments that attract attackers. Bluepot allows you to create decoys that mimic real Bluetooth devices and services.

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AntiRansom

It is a tool capable of detecting and stopping ransomware attacks using decoys. First, Anti Ransom creates a random decoy folder with lots of useless random documents (Excel, PDF) and then monitors the folder for changes. When they are detected, tries to determine which process is responsible.

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