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

 hat@red is the FTP credential that was stolen using Cain and Abel in the above scenario. FTP (File Transfer Protocol) is a protocol that allows transferring files between a client and a server over a network. FTP requires a username and a password to authenticate the client and grant access to the server . Cain and Abel is a tool that can perform various network attacks, such as ARP poisoning, password cracking, sniffing, etc. Cain and Abel can poison the machine and fetch the FTP credentials used by the admin by intercepting and analyzing the network traffic . To validate the credentials that were stolen using Cain and Abel and read the file flag.txt, one has to follow these steps:

Navigate to the Documents folder of Attacker-1 machine.

Double-click on Cain.exe file to launch Cain and Abel tool.

Click on Sniffer tab.

Click on Start/Stop Sniffer icon.

Click on Configure icon.

Select the network adapter and click on OK button.

Click on + icon to add hosts to scan.

Select All hosts in my subnet option and click on OK button.

Wait for the hosts to appear in the list.

Right-click on 20.20.10.26 (FTP server) and select Resolve Host Name option.

Note down the host name as ftpserver.movieabc.com

Click on Passwords tab.

Click on + icon to add items to list.

Select Network Passwords option.

Select FTP option from Protocol drop-down list.

Click on OK button.

Wait for the FTP credentials to appear in the list.

Note down the username as hat and the password as red

Open a web browser and type ftp://hat:red@ftpserver.movieabc.com

Press Enter key to access the FTP server using the stolen credentials.

Navigate to flag.txt file and open it.

Read the file content.

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

For an e-commerce company undergoing rapid expansion, the NIST Cybersecurity Framework (CSF) is the most relevant risk management framework:

Customizability: NIST CSF is designed to be flexible and scalable, making it suitable for a growing e-commerce platform.

Comprehensive Approach: Covers identification, protection, detection, response, and recovery, which are critical for e-commerce security.

Industry Agnostic: Applicable across various sectors, providing a robust foundation for different security needs.

Guidance and Best Practices: NIST CSF provides detailed guidelines and best practices that help organizations develop a comprehensive security posture.

References:

NIST Cybersecurity Framework:NIST CSF

Implementation of NIST CSF in e-commerce: SANS Institute