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Responsible Disclosure Journey: Navigate Site .nl For Riches – Create personalized experiences with machine learning and artificial intelligence. Customize everything from web pages to in-app experiences, product recommendations, content and more. Tailor each customer experience to drive specific KPIs, from customer acquisition to customer retention, using a mix of real-time user behavior and historical customer data. Increase page personalization with machine learning, inform CTA such as banners or popups. You can even target and test your customers’ browsing speed, and personalization decisions happen in milliseconds.

Enable relevant real-time experiences that move customers along their shopping journey. Use AI-based decisions to determine the next most relevant interactions for your customers with recommendations based on real-time customer behavior, historical customer data, and company-specific data sets such as pricing and inventory. Deliver predefined experiences to your customers, such as browsing or abandoning cart journeys, all by using real-time customer interactions to determine the right content, channel or offer for them.

Responsible Disclosure Journey: Navigate Site .nl For Riches

Enter real-time engagement data directly into your sales and service consoles to improve interactions with customers and prospects. It enables service teams to avoid issues and provide more effective case resolution, with faster access to recent customer interactions across multiple business touchpoints. Give your sales team more insight into the account or prospect’s purchase journey, driving more relevant conversations and offers, using real-time knowledge about content consumed, products viewed or time spent on your site.

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Use artificial intelligence to gather data from current intent and past business activity to identify customer interests, passions and preferences. Expand your personalization capabilities with fully customizable affinity charts, which allow you to map and visualize rich customer profiles in real-time. Develop different perspectives of your customers based on individual preferences and use these insights to deliver personalized messages and offers, giving you higher conversion rates across websites, apps and other channels.

Use real-time personalization to engage your customers with relevant email campaigns. Send timely and personalized messages with time-to-open email personalization that optimizes email opens with dynamic and customizable sections. Every aspect of the email can be customized, including offers, product selection and overall content, all based on a real-time understanding of the customer journey.

Increase the relevance of every customer interaction on your websites and apps with Einstein Decisions. Einstein Decisions is powered by contextual bandit algorithms that use historical and real-time profile data, along with your predefined business logic, to identify relevant and dynamic offers throughout the customer journey. As you deliver content and offers to your customers, new data is constantly fed into Einstein, allowing the algorithm to improve its ability to deliver more optimal future decisions in a variety of dynamic scenarios.

See real-time analytics of key performance indicators including transactions, responses, conversions and revenue. Explore your data at the individual, segment and campaign level. Track dashboards with in-depth analytics of customer trends across channels and touchpoints and improve your website and app experience.

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Optimize your web and app experiences with A/B and multivariate testing. Leverage historical, behavioral, contextual, and real-time data to target testing based on segment membership or rule-based testing triggers. Act on results with confidence, using randomized tests that use Bayesian models to estimate confidence levels for available and custom KPIs. Integrate data to optimize personalization across all channels, including your website, mobile app, email or service, and sales interactions.

Use profile data to deliver highly targeted surveys on your websites and apps. Capture zero-side data that enriches your customers with insights and personalization capabilities through progressive profiling. Use individual responses to inform the next content your customers receive and increase the effectiveness of various CTAs on your websites and apps.

This page is provided for informational purposes only and is subject to change at any time. Please contact a sales representative for detailed pricing information.

A personalization engine is a type of technology solution that ingests customer profile and engagement data and then, using machine learning and artificial intelligence, determines relevant messaging, targeting and content for each customer, based on their preferences and interests These insights can be incorporated into various marketing touchpoints to improve the customer experience.

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Many Marketing Cloud products offer the ability to personalize customer engagement, but “Personalization” in Marketing Cloud refers specifically to products that allow you to unify customer engagement across websites, apps, email, and other touchpoints to generate personalized preferences and interests. real-time offers, messaging and in-person experiences.

Yes, Marketing Cloud Personalization and Engagement Studio are the same. Interaction Studio will change its name to Marketing Cloud Personalization in 2022.

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Yes, Marketing Cloud Personalization and Evergage are one and the same. From increased innovation, enhanced features and product evolution, the name evolved twice from Evergage to Interaction Studio and then from Interaction Studio to Marketing Cloud Personalization. Last October, I successfully completed and passed the OffSec Advanced Evasion and Defense Techniques (OSEP) exam (PEN-300). Exams are fun but also difficult challenges. OffSec is tight-lipped about the content of their exams, so I won’t spoil what I found there. However, I want to go into detail about how I used Bishop Fox’s Sliver C2 framework to pass the exam. I will also share my tips and tricks for exam preparation.

I found after doing a little research online that many people recommended the Cybernetics ProLab offered by HackTheBox, so I signed up and completed it along with the OSEP course content. The reason cybernetics is suitable is not because of its challenges in the lab (they help), but because cybernetics provides a good Active Directory environment for

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My C2 workflow. I was able to set up the Sliver, test my AV bypass, and practice spinning, counting, lateral movement, and climbing in a vulnerable lab environment. Honestly, I think that’s what I went through. I can play and practice with my methodology and refine it over time. I’ve looked at what works, what doesn’t, what tools I should use, etc., and I want to pass the same tips on to you.

But ProLab is expensive, so for our purposes in this post, we’ll use Game of Thrones Active Directory (GOAD), which you can run locally and apply the basics learned in the OSEP course. You’ll need about 100 gigs of free space and about 32 gigs of RAM, but even that’s not a necessity (you can turn off virtual machines you’re not using to save RAM). If you want to stay current and use a vulnerable AD environment that is easy to configure, GOAD is a great solution. I will use it here to illustrate the setup and Sliver tips that helped me pass the exam.

So let’s set up Sliver, our C2 framework of choice here. All the steps are listed below and are performed in the Kali engine. I’m going to target the GOAD environment that I installed locally. I will also assume that you have Sliver installed and running on your machine (if you need to install it, go here).

We have a stage listener on port 8080 and a C2 channel on port 443; change them to suit your needs. I use beacons during testing because they are great for long-distance communication, and I often use interactive sessions because we are in a lab environment. The last thing we need is our shellcode and we can use Sliver or msfvenom.

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With all the pieces in place, we can now see how we will execute the payload according to our goal. For OSEP, taking the AV is an important part of the exam. The course material talks about how to avoid AV, AMSI, custom loaders, etc. I strongly encourage you to find an AMSI bypass that works for you and a payload that can bypass AV. If we can use PowerShell, we can use the PowerShell shellcode from the course (or you can find it online). By the way, my AV bypass executable is a hollow shellcode process, found here. You can easily clone the repository, open it in Visual Studio, replace the shellcode buffer with the one generated by msfvenom and compile it (make sure to change the format too:

) Note also that if you choose to use the above repository, the shellcode is expected to be

Let’s set up an ASPX backdoor. A quick Google search brings us to this GitHub page. After reviewing the code, it didn’t look like we needed to make any changes, so we uploaded it to the server and passed it along. quickly

Our backdoor includes a dispatch function as well as the ability to run shell commands. We can perform a PowerShell upload or attachment

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And run to the lighthouse. I’ll be using PowerShell commands for this demonstration, but I encourage you to try both.

And we got our first flare back! To elaborate on what I did above, I used a backdoor to run PowerShell. It runs the AMSI bypass in the current shell session and then calls my own Kali machine

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