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Dvinal [7]
3 years ago
12

Meta is a penetration testing engineer assigned to pen test the security firm's network. So far, she cannot tunnel through the n

etwork looking for additional systems accessible through advanced privileges. What should Meta do to gain repeated and long-term access to the system in the future
Computers and Technology
1 answer:
Arte-miy333 [17]3 years ago
7 0

In order to gain repeated and long-term access to the network system in the future, Meta should perform privilege escalation.

A penetration test is also referred to as pen test or ethical hacking and it can be defined as a cybersecurity technique that simulates a cyber attack against a user's computer system, in order to identify, test and check for exploitable vulnerabilities in the following:

  • Web software
  • Host device
  • Network

Hence, a pen test avails an end user the ability to exploit a weakness and potential security threats during vulnerability assessments of the system.

In Cybersecurity, privilege escalation can be defined as a process that involves the exploitation of a design flaw, software bug or configuration setting in a network, so as to gain repeated and long-term (elevated) access to the network or software application in the future. Thus, Meta should perform privilege escalation to enable her gain repeated and long-term access to the network system in the future.

Read more: brainly.com/question/24112967

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The production team for a fictional drama is shooting a key scene. One of the actors leaves out part of his scripted dialogue th
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Read 2 more answers
Which is an example of an incremental approach to solving a problem?
zvonat [6]

Explanation:

One of the things I’ve been writing and talking about a lot lately is the fact that solving problems collaboratively is an incremental process. In fact, in my book, Lost at School, I made mention of the fact that the model could just as easily have been called Incremental Problem Solving or Progressive Problem Solving. I thought the collaborative aspect of the model was the most important to emphasize, but that doesn’t mean that the incremental component isn’t almost as crucial. Often people who are new to the model enter the process of resolving a problem as if it’s a one-shot deal. If you have experience in using Plan B, you already know that most problems require more than one visit to Plan B to resolve. In other words, longstanding, complicated problems aren’t likely to be resolved the first time you try to discuss them. There’s a lot of information to be processed before a given problem can be solved. You need to gather information so as to achieve the clearest possible understanding of the kid’s concern or perspective on the problem (for the unfamiliar, that’s called the Empathy step). Then, you need to be clear about and articulate your own concern (that’s the Define the Problem step). Then, you’ll want to brainstorm with the kid so as to consider the array of potential solutions that could be applied to the problem and consider whether each solution truly addresses the concerns of both parties (that’s the Invitation). There’s a good chance you won’t even make it through all three steps of Plan B in the first attempt on a given unsolved problem (nor should you necessarily even try). If Plan B were a “technique,” then disappointment over not making it through all three steps in one conversation would be understandable. But Plan B is not a technique, it’s a process. As I’ve often emphasized, if you only make it through the Empathy step in the first attempt at Plan B on a given problem but you emerge with a clear sense of a kid’s concern or perspective on a problem that’s been causing significant angst or conflict, that’s quite an accomplishment. You’ll get back to the remaining steps at your earliest opportunity. There’s also an excellent chance the first solution you and the kid agree on won’t solve the problem durably. As you may know, this is usually because the original solution wasn’t as realistic and mutually satisfactory as the two parties first thought. But it could also be because the concerns weren’t as clear or simple as it first seemed. If a solution doesn’t stand the test of time, your goal is to figure out why, which means gathering additional information about the concerns of the two parties and why the solution may not be working so well. Plan B should always conclude with both parties agreeing to return to the problem if the solution being agreed upon doesn’t solve the problem durably. So if your enthusiasm for Plan B waned because your first solution didn’t stand the test of time, take heart: that’s not unusual. Many people enter Plan B with great hope, eager to see their new approach to helping a challenging kid pay quick dividends. In fact, Plan B may well pay quick dividends…not necessarily because the problem is yet durably solved, but because of the relationship- and communication-enhancing that occurs. And while the occasional problem – often simple ones – can be resolved with one visit to Plan B, now you know that several repetitions of Plan B may be necessary on each unsolved problem. Thanks for reading.

8 0
3 years ago
Create a single list that contains the following collection of data in the order provided:
ivann1987 [24]

Answer:

A code was created to single list that contains the following collection of data in the order provided

Explanation:

Solution

#list that stores employee numbers

employeee_numbers=[1121,1122,1127,1132,1137,1138,1152,1157]

#list that stores employee names

employee_name=["Jackie Grainger","Jignesh Thrakkar","Dion Green","Jacob Gerber","Sarah Sanderson","Brandon Heck","David Toma","Charles King"]

#list that stores wages per hour employee

hourly_rate=[22.22,25.25,28.75,24.32,23.45,25.84,22.65,23.75]

#list that stores salary employee

company_raises=[]

max_value=0

#list used to store total_hourly_rate

total_hourly_rate=[]

underpaid_salaries=[]

#loop used to musltiply values in hourly_wages with 1.3

#and store in new list called total_hourly_rate

#len() is used to get length of list

for i in range(0,len(hourly_rate)):

#append value to the list total_hourly_rate

total_hourly_rate.append(hourly_rate[i]*1.3)

for i in range(0,len(total_hourly_rate)):

#finds the maximum value

if(total_hourly_rate[i]>max_value):

max_value=total_hourly_rate[i] #stores the maximum value

if(max_value>37.30):

print("\nSomeone's salary may be a budget concern.\n")

for i in range(0,len(total_hourly_rate)):

#check anyone's total_hourly_rate is between 28.15 and 30.65

if(total_hourly_rate[i]>=28.15 and total_hourly_rate[i]<=28.15):

underpaid_salaries.append(total_hourly_rate[i])

for i in range(0,len(hourly_rate)):

#check anyone's hourly_rate is between 22 and 24

if(hourly_rate[i]>22 and hourly_rate[i]<24):

#adding 5%

hourly_rate[i]+=((hourly_rate[i]/100)*5)

elif(hourly_rate[i]>24 and hourly_rate[i]<26):

#adding 4%

hourly_rate[i]+=((hourly_rate[i]/100)*4)

elif(hourly_rate[i]>26 and hourly_rate[i]<28):

#adding 3%

hourly_rate[i]+=((hourly_rate[i]/100)*3)

else:

#adding 2% for all other salaries

hourly_rate[i]+=((hourly_rate[i]/100)*2)

#adding all raised value to company_raises

company_raises.extend(hourly_rate)

#The comparison in single line

for i in range(0,len(hourly_rate)):

 For this exercise i used ternary

operator hourly_rate[i]= (hourly_rate[i]+((hourly_rate[i]/100)*5)) if (hourly_rate[i]>22 and hourly_rate[i]<24) else (hourly_rate[i]+((hourly_rate[i]/100)*4)) if (hourly_rate[i]>24 and hourly_rate[i]<26) else hourly_rate[i]+((hourly_rate[i]/100)*2)

8 0
3 years ago
What is Microsoft marketing ?
vaieri [72.5K]

Answer:

Microsoft Corporation's marketing mix is a showcase of how rapid innovation combines with effective approaches.

Explanation:

Microsoft's current marketing strategy is to drive its enterprise businesses by creating cloud-based solutions that will stick with consumers.

American multinational technology company with headquarters in Redmond, Washington. It develops, manufactures, licenses, supports, and sells computer software, consumer electronics, personal computers, and related services.

6 0
3 years ago
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