212-82 Exam Dumps : Certified Cybersecurity Technician (CCT)

A low-interaction honeypot is a type of honeypot that simulates a real OS as well as the applications and services of a target network, but only responds to pre-configured commands. It is designed to capture basic information about the attacker, such as their IP address, tools, and techniques. A low-interaction honeypot is easier to deploy and maintain than a high-interaction honeypot, which fully emulates a real system and allows the attacker to interact with it. A pure honeypot is a real system that is intentionally vulnerable and exposed to attackers. A medium-interaction honeypot is a type of honeypot that offers more functionality and interactivity than a low-interaction honeypot, but less than a high-interaction honeypot.

3 is the number of files present in the folder in the above scenario. A RAT (Remote Access Trojan) is a type of malware that allows an attacker to remotely access and control a compromised system or network. A RAT can be used to steal sensitive data, spy on user activity, execute commands, install other malware, etc. To initiate a remote connection using thief client, one has to follow these steps:

Navigate to the thief folder located at Z:\CCT-Tools\CCT Module 01 Information Security Threats and Vulnerabilities\Remote Access Trojans (RAT)\Thief of Attacker Machine-1.

Double-click on thief.exe file to launch thief client.

Enter 20.20.10.26 as IP address of server.

Enter 1234 as port number.

Click on Connect button.

After establishing connection with server, click on Browse button.

Navigate to Desktop folder on server.

Count number of files present in folder.

The number of files present in folder is 3, which are:

Sensitive corporate docs.docx

Sensitive corporate docs.pdf

Sensitive corporate docs.txt

To effectively trace unauthorized activities within TechTonic's Windows-based server farm, the best strategy is:

Centralized Logging:

Aggregation: Collect all system logs in a centralized logging server. This ensures that all log data is stored in one place, making it easier to manage and analyze.

Correlation: Correlate logs from different sources to identify patterns and anomalies that might indicate unauthorized activities.

Pattern-Detection Algorithms:

Automated Analysis: Use algorithms to automatically detect patterns that are indicative of security breaches. This can include machine learning models trained to recognize signs of intrusion.

Real-Time Alerts: Set up real-time alerts for suspicious activities identified by the pattern-detection algorithms, enabling swift responses to potential threats.

References:

Best practices for Windows logging and monitoring:Microsoft Docs

Centralized logging solutions and their benefits: Splunk Documentation