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ECCouncil 312-39 Exam With Confidence Using Practice Dumps

Exam Code:
312-39
Exam Name:
Certified SOC Analyst (CSA v2)
Certification:
CSA
Vendor:
Questions:
200
Last Updated:
Feb 21, 2026
Exam Status:
Stable
ECCouncil 312-39

312-39: CSA Exam 2025 Study Guide Pdf and Test Engine

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Certified SOC Analyst (CSA v2) Questions and Answers

Question 1

Harley is working as a SOC analyst with Powell Tech. Powell Inc. is using Internet Information Service (IIS) version 7.0 to host their website.

Where will Harley find the web server logs, ifhe wants to investigate them for any anomalies?

Options:

A.

SystemDrive%\inetpub\logs\LogFiles\W3SVCN

B.

SystemDrive%\LogFiles\inetpub\logs\W3SVCN

C.

%SystemDrive%\LogFiles\logs\W3SVCN

D.

SystemDrive%\ inetpub\LogFiles\logs\W3SVCN

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Question 2

Which of the following attack can be eradicated by filtering improper XML syntax?

Options:

A.

CAPTCHAAttacks

B.

SQL Injection Attacks

C.

Insufficient Logging and Monitoring Attacks

D.

Web Services Attacks

Question 3

A financial services company hosts an online banking platform accessible via a public web portal. The SOC team has deployed Snort IDS to monitor HTTP traffic for potential attacks targeting the login page. One day, a user attempts to log in multiple times, generating a series of failed authentication events. During this time, Snort IDS triggers an alert based on the following rule:

alert tcp any any -> any 80 (msg:"SQL Injection attempt detected"; content:"' OR T=T"; nocase; sid:1000001; rev:1;)

The alert indicates that an incoming HTTP request contained the classic SQL injection payload ' OR T=T, which is commonly used to bypass login authentication by always evaluating to true. The SIEM, integrated with Snort, receives this alert and correlates it with multiple failed login attempts from the same source IP. This triggers an automated response, temporarily blocking the suspicious IP address and notifying the SOC team. Which detection method is used by this rule?

Options:

A.

Behavioral-based detection

B.

Signature-based detection

C.

Anomaly-based detection

D.

Statistical-based detection