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ECCouncil 312-85 (Certified Threat Intelligence Analyst) Exam is a certification exam that validates the skills and knowledge of individuals in the field of threat intelligence analysis. 312-85 exam is designed to test the candidate's ability to identify, assess, and respond to various types of cybersecurity threats, including both external and internal threats. Certified Threat Intelligence Analyst certification is recognized globally and is highly sought after by employers in the cybersecurity industry.

The ECCouncil 312-85 exam covers a wide range of topics, including threat intelligence planning and management, data collection and analysis, threat modeling, and threat intelligence dissemination. It also covers the use of various tools and technologies used in threat intelligence, such as open-source intelligence (OSINT) and dark web intelligence. 312-85 Exam is designed to test not only theoretical knowledge but also practical skills, making it an excellent way for professionals to demonstrate their proficiency in the field of threat intelligence.

ECCouncil Certified Threat Intelligence Analyst Sample Questions (Q47-Q52):

NEW QUESTION # 47
You are a cybersecurity analyst working at a financial institution. An unusual pattern of financial transactions was detected, suggesting potential fraud or money laundering. What specific type of threat intelligence would you rely on to analyze these financial activities and identify potential risks?

Answer: A

Explanation:
FININT (Financial Intelligence) refers to the collection, processing, and analysis of financial transaction data to identify suspicious or illicit activities such as fraud, money laundering, terrorist financing, or financial crimes.
In this scenario, the analyst is investigating unusual financial transaction patterns, which is exactly the purpose of financial intelligence.
Key Features of FININT:
* Focuses on financial data sources, including transaction records, wire transfers, and account statements.
* Helps detect illicit financial flows or abnormal transaction behaviors.
* Used by banks, financial institutions, and government agencies to identify and prevent financial crimes.
* Often shared with intelligence agencies and regulatory bodies to support counter-fraud and anti-money laundering operations.
Why the Other Options Are Incorrect:
* A. OSINT:Refers to publicly available information such as websites, news, or social media. It is not specific to financial transaction data.
* B. CHIS:Refers to human intelligence sources obtained through personal or covert interaction, not financial data analysis.
* C. TECHINT:Refers to intelligence gathered from technical sources such as sensors or electronic systems, not financial records.
Conclusion:
The correct intelligence type used to analyze suspicious financial transactions is FININT (Financial Intelligence).
Final Answer: D. FININT
Explanation Reference (Based on CTIA Study Concepts):
As per CTIA threat intelligence classifications, FININT involves collecting and analyzing financial data to detect and mitigate fraudulent or criminal activities.


NEW QUESTION # 48
Bob is a threat intelligence analyst in Global Technologies Inc. While extracting threat intelligence, he identified that the organization is vulnerable to various application threats that can be exploited by attackers.
Which of the following are the possible application threats that have been identified by Bob?

Answer: C

Explanation:
The question specifies that the vulnerabilities are application threats.
SQL injection and buffer overflow are both classic examples of application-layer attacks that target flaws in code and software design.
* SQL Injection: Exploits improper input validation in database queries, allowing attackers to execute malicious SQL statements.
* Buffer Overflow: Occurs when a program writes more data into a buffer than it can handle, leading to memory corruption and potential remote code execution.
Why the Other Options Are Incorrect:
* B. Man-in-the-middle and physical security attack: MITM is a network attack, and physical attacks are not application-based.
* C. DNS and ARP poisoning: These are network-level attacks, not application-level.
* D. Footprinting and spoofing: Both are reconnaissance or identity-deception techniques, not application-layer threats.
Conclusion:
Bob identified application threats, namely SQL Injection and Buffer Overflow attacks.
Final Answer: A. SQL injection and buffer overflow attack
Explanation Reference (Based on CTIA Study Concepts):
CTIA categorizes SQL injection and buffer overflow as application-level vulnerabilities exploited through improper input handling and insecure coding.


NEW QUESTION # 49
Alison, an analyst in an XYZ organization, wants to retrieve information about a company's website from the time of its inception as well as the removed information from the target website.
What should Alison do to get the information he needs.

Answer: D


NEW QUESTION # 50
Miley, an analyst, wants to reduce the amount of collected data and make the storing and sharing process easy. She uses filtering, tagging, and queuing technique to sort out the relevant and structured data from the large amounts of unstructured data.
Which of the following techniques was employed by Miley?

Answer: D

Explanation:
Normalization in the context of data analysis refers to the process of organizing data to reduce redundancy and improve efficiency in storing and sharing. By filtering, tagging, and queuing, Miley is effectively normalizing the data-converting it from various unstructured formats into a structured, more accessible format. This makes the data easier to analyze, store, and share. Normalization is crucial in cybersecurity and threat intelligence to manage the vast amounts of data collected and ensure that only relevant data is retained and analyzed. This technique contrasts with sandboxing, which is used for isolating and analyzing suspicious code; data visualization, which involves representing data graphically; and convenience sampling, which is a method of sampling where samples are taken from a group that is conveniently accessible.
References:
"The Application of Data Normalization to Database Security," International Journal of Computer Science Issues SANS Institute Reading Room, "Data Normalization Considerations in Cyber Threat Intelligence"


NEW QUESTION # 51
Jian is a member of the security team at Trinity, Inc. He was conducting a real-time assessment of system activities in order to acquire threat intelligence feeds. He acquired feeds from sources like honeynets, P2P monitoring. infrastructure, and application logs.
Which of the following categories of threat intelligence feed was acquired by Jian?

Answer: B

Explanation:
Internal intelligence feeds are derived from data and information collected within an organization's own networks and systems. Jian's activities, such as real-time assessment of system activities and acquiring feeds from honeynets, P2P monitoring, infrastructure, and application logs, fall under the collection of internal intelligence feeds. These feeds are crucial for identifying potential threats and vulnerabilities within the organization and form a fundamental part of a comprehensive threat intelligence program. They contrast with external intelligence feeds, which are sourced from outside the organization and include information on broader cyber threats, trends, and TTPs of threat actors.
References:
"Building an Intelligence-Led Security Program" by Allan Liska
"Threat Intelligence: Collecting, Analysing, Evaluating" by M-K. Lee, L. Healey, and P. A. Porras


NEW QUESTION # 52
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