CCOA Exam Dumps and Practice Questions

To identify the name of the service that the malware attempts to install from the Malscript.viruz.txt file, follow these steps:

Step 1: Access the Analyst Desktop

Log into the Analyst Desktop using your credentials.

Navigate to the Malware Samples folder located on the desktop.

Locate the file:

Malscript.viruz.txt

Step 2: Examine the File Contents

Open the file with a text editor:

Windows: Right-click > Open with > Notepad.

Linux:

cat ~/Desktop/Malware\ Samples/malscript.viruz.txt

Review the content to identify any lines that relate to:

Service creation

Service names

Installation commands

Common Keywords to Look For:

New-Service

sc create

Install-Service

Set-Service

net start

Step 3: Identify the Service Creation Command

Malware typically uses commands like:

powershell

New-Service -Name 'MalService' -BinaryPathName 'C:\Windows\malicious.exe'

or

cmd

sc create MalService binPath= 'C:\Windows\System32\malicious.exe'

Focus on lines where the malware tries to register or create a service.

Step 4: Example Content from Malscript.viruz.txt

arduino

powershell.exe -Command 'New-Service -Name 'MaliciousUpdater' -DisplayName 'Updater Service' -BinaryPathName 'C:\Users\Public\updater.exe' -StartupType Automatic'

In this example, the name of the service is:

nginx

MaliciousUpdater

Step 5: Cross-Verification

Check for multiple occurrences of service creation in the script to ensure accuracy.

Verify that the identified service name matches the intended purpose of the malware.

Answe r:

pg

The name of the service that the malware attempts to install is: MaliciousUpdater

Step 6: Immediate Action

Check for the Service:

powershell

Get-Service -Name 'MaliciousUpdater'

Stop and Remove the Service:

powershell

Stop-Service -Name 'MaliciousUpdater' -Force

sc delete 'MaliciousUpdater'

Remove Associated Executable:

powershell

Remove-Item 'C:\Users\Public\updater.exe' -Force

Step 7: Documentation

Record the following:

Service Name: MaliciousUpdater

Installation Command: Extracted from Malscript.viruz.txt

File Path: C:\Users\Public\updater.exe

Actions Taken: Stopped and deleted the service.

The primary function of Open Source Intelligence (OSINT) is to collect and analyze information from publicly available sources. This data can include:

Social Media Profiles: Gaining insights into employees or organizational activities.

Public Websites: Extracting data from corporate pages, forums, or blogs.

Government and Legal Databases: Collecting information from public records and legal filings.

Search Engine Results: Finding indexed data, reports, or leaked documents.

Technical Footprinting: Gathering information from publicly exposed systems or DNS records.

OSINT is crucial in both defensive and offensive security strategies, providing insights into potential attack vectors or organizational vulnerabilities.

Incorrect Options:

A . Encoding stolen data prior to exfiltration: This relates to data exfiltration techniques, not OSINT.

B . Initiating active probes for open ports: This is part of network scanning, not passive intelligence gathering.

C . Delivering remote access malware via social engineering: This is an attack vector rather than intelligence gathering.

Exact Extract from CCOA Official Review Manual, 1st Edition:

Refer to Chapter 2, Section 'Threat Intelligence and OSINT', Subsection 'Roles and Applications of OSINT' - OSINT involves leveraging publicly available sources to gather information on potential targets, be it individuals or organizations.

To identify the file name that triggered the RuleName: Suspicious PowerShell on the accounting-pc workstation, follow these detailed steps:

Step 1: Access the SIEM System

Open your web browser and navigate to the SIEM dashboard.

Log in with your administrator credentials.

Step 2: Set Up the Query

Go to the Search or Query section of the SIEM.

Set the Time Range to the last 24 hours.

Query Parameters:

Agent Name: accounting-pc

Rule Name: Suspicious PowerShell

Event Type: Startup items or Process creation

Step 3: Construct the SIEM Query

Here's an example of how to construct the query:

Example Query (Splunk):

index=windows_logs

| search agent.name='accounting-pc' RuleName='Suspicious PowerShell'

| where _time > now() - 24h

| table _time, agent.name, process_name, file_path, RuleName

Example Query (Elastic SIEM):

{

'query': {

'bool': {

'must': [

{ 'match': { 'agent.name': 'accounting-pc' }},

{ 'match': { 'RuleName': 'Suspicious PowerShell' }},

{ 'range': { '@timestamp': { 'gte': 'now-24h' }}}

]

}

}

}

Step 4: Analyze the Query Results

The query should return a table or list containing:

Time of Execution

Agent Name: accounting-pc

Process Name

File Path

Rule Name

Example Output:

_time agent.name process_name file_path RuleName

2024-04-07T10:45:23 accounting-pc powershell.exe C:\Users\Accounting\AppData\Roaming\calc.ps1 Suspicious PowerShell

Step 5: Identify the Suspicious File

The process_name in the output shows powershell.exe executing a suspicious script.

The file path indicates the script responsible:

makefile

C:\Users\Accounting\AppData\Roaming\calc.ps1

The suspicious script file is:

calc.ps1

Step 6: Confirm the Malicious Nature

Manual Inspection:

Navigate to the specified file path on the accounting-pc workstation.

Check the contents of calc.ps1 for any malicious PowerShell code.

Hash Verification:

Generate the SHA256 hash of the file and compare it with known malware signatures.

Answe r:

calc.ps1

Step 7: Immediate Response

Isolate the Workstation: Disconnect accounting-pc from the network.

Terminate the Malicious Process:

Stop the powershell.exe process running calc.ps1.

Use Task Manager or a script:

powershell

Stop-Process -Name 'powershell' -Force

Remove the Malicious Script:

powershell

Remove-Item 'C:\Users\Accounting\AppData\Roaming\calc.ps1' -Force

Scan for Persistence Mechanisms:

Check Startup items and Scheduled Tasks for any references to calc.ps1.

Step 8: Documentation

Record the following:

Date and Time: When the incident was detected.

Affected Host: accounting-pc

Malicious File: calc.ps1

Actions Taken: File removal and process termination.

SOAP (Simple Object Access Protocol) and REST (Representational State Transfer) are two common approaches used in API design:

SOAP: A protocol-based approach with strict rules, typically using XML.

REST: A more flexible, resource-based approach that often uses JSON.

Usage: Both methods facilitate communication between applications, especially in web services.

Key Difference: SOAP is more structured and secure for enterprise environments, while REST is lightweight and widely used in modern web applications.

Incorrect Options:

A . Machine learning (ML) design: These protocols do not pertain to ML.

B . Cloud-based anomaly detection: Not related to cloud anomaly detection.

C . 5G/6G networks: APIs are application communication methods, not network technologies.

Exact Extract from CCOA Official Review Manual, 1st Edition:

Refer to Chapter 7, Section 'API Security,' Subsection 'SOAP vs. REST' - SOAP and REST are widely adopted API design methodologies with distinct characteristics.

The most important component of asset decommissioning from a data risk perspective is the secure destruction of data on the asset.

Data Sanitization: Ensures that all sensitive information is irretrievably erased before disposal or repurposing.

Techniques: Physical destruction, secure wiping, or degaussing depending on the storage medium.

Risk Mitigation: Prevents data leakage if the asset falls into unauthorized hands.

Incorrect Options:

A . Informing the data owner: Important but secondary to data destruction.

C . Updating the CMDB: Administrative task, not directly related to data risk.

D . Removing monitoring: Important for system management but not the primary risk factor.

Exact Extract from CCOA Official Review Manual, 1st Edition:

Refer to Chapter 9, Section 'Asset Decommissioning,' Subsection 'Data Sanitization Best Practices' - Data destruction is the most critical step to mitigate risks.