CPTIA Exam Dumps : CREST Practitioner Threat Intelligence Analyst

The correct sequence to examine the originating IP address of emails involves first accessing the email's header to locate the IP address, then using external resources to investigate that address further. The steps are as follows:

Step 2:Open the email to trace and find its header. This is the initial step because the header contains valuable information about the email's journey across the internet, including the originating IP address.

Step 3:Collect the IP address of the sender from the header of the received mail. This detail is crucial for the next steps in the investigation.

Step 1:Search for the IP in the WHOIS database. This database can provide information about the owner of the IP address, including the ISP and sometimes the geographic location.

Step 4:Look for the geographic address of the sender in the WHOIS database. With the IP address information obtained from the WHOIS search, the geographic location or the originating country of the email can often be deduced, contributing to the analysis of the email's legitimacy.

References:The process of analyzing email headers to trace originating IP addresses and further investigating those addresses is a common practice in incident response, covered under the digital forensics and email analysis topics within the CREST CPTIA curriculum by EC-Council.

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 easierto 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"

In the risk assessment process, calculating the probability that a threat source will exploit an existing system vulnerability is known as likelihood analysis. This step involves evaluating how probable it is that the organization's vulnerabilities can be exploited by potential threats, considering various factors such as the nature of the vulnerability, the presence and capability of threat actors, and the effectiveness of current controls. Elizabeth's task of assessing the probability of exploitation is crucial for understanding the risk level associated with different vulnerabilities and for prioritizing risk mitigation efforts based on the likelihood of occurrence.

References:The Certified Incident Handler (CREST CPTIA) program by EC-Council includes detailed discussions on risk assessment methodologies, where likelihood analysis is highlighted as a key component in evaluating risks to organizational security.