It is important to note that sometimes a Data Engineer can take on the role of a Machine Learning Operations Engineers (

For concepts, a Data Engineer can expect to not work on the model itself — for example, tuning parameters, discovering new features for the model, and considering the accuracy of the model, but they will still need to be familiar with the model so that they can help with integration. It is important to note here too that some Data Engineers do not touch a Data Science model at all. Once again, it depends on the company.,4. In my malicious server I receive the exfiltrated data, decode it and read the list of users. I discard common system users and get the name of the local user (in this example it’s existent_user). Wappalyzer is waiting for a response that in this case it will be:,If there is ever any confusion on Data Science and Data Engineering roles, the best source of truth, is that from the Hiring Manager — who will untimely layout the foundation of your everyday work and expectations of if you are more SQL oriented, Python, or Machine Learning deployment-focused. Also, it will depend on where and what the needs of the company are.,For skills, these even share similarities with Data Scientists. However, it is more what is focused on by each role. For example, a Data Scientist uses SQL for their role, but they do not usually create tables.,The proof of concept is working and it inserts the local file contents into the document body. We can execute Javascript code and that gives us a lot of freedom i.e. we can create AJAX requests and fetch external resources. Can we fetch any kind of resource? No, only script and (i?)frame resources but that’s enough (it’s explained further in the Technical Details section).,In this article I’m using version 5.9.34 because it’s the last version of the branch 5.9 available on npm (I installed it using npm install [email protected]). For this test, I did some hack in my Wappalyzer installation to display the page content over which Wappalyzer applies its heuristics. Let’s try running Wappalyzer against my malicious website:,Feel free to comment down below to discuss what skills you use as a Data Scientist or Data Engineer. Perhaps you do not work with Data Science models at all as a Data Engineer and focus purely on data warehousing, or you actually focus on strictly creating features from SQL querying that ulimately will be injected into Machine Learning algorithm tested by a Data Scientist.,Data Science and Data Engineering share more than just word data. Skills and tools are shared between both roles, whereas the differences lie in the concepts and goals of each respective role. For example, a Data Engineer will use Python as well as a Data Scientist (or another programming language), but a Data Engineer will use Python for a script or integration, whereas a Data Scientist will use Python to access the Pandas library as well as other Python packages to perform an ANOVA to test for statistical significance for example.,At work I had to vet different software detection solutions and one of them was Wappalyzer. Following the line of my previous research about scraping software being pwned by malicious websites [1] [2] and Wappalyzer being a tool analyzing third-party websites, the natural question was: would it be possible to be pwned by a malicious website if I run Wappalyzer against it?,Feel free to comment down below to discuss what skills you use as a Data Scientist or Data Engineer. Perhaps you do not work with Data Science models at all as a Data Engineer and focus purely on data warehousing, or you actually focus on strictly creating features from SQL querying that ulimately will be injected into Machine Learning algorithm tested by a Data Scientist.,Disclaimer: I discovered this vulnerability in February and it was fixed in May 2020 (version 5.10.2 and new branch 6.x) due to the change of the web driver from Zombie.js to puppeteer.,Well, for one thing, accountability matters. It’s not enough to act like a decent person on TV and then treat the people who work for you like trash. But more than that, we — the viewers, the audience, the people marketing with Ellen and the rest of us who are being marketed to — have voices and our voices are powerful.,The exploit works! In this post we’re going to go first with the full exploitation of this vulnerability and next we will delve into the technical details why it’s happening.,The second case is interesting and reminds me of Exploiting the scraper post. Most valuable files in a victim’s machine are usually in its $HOME directory. Using the file:// protocol handler we can’t reference relative files, so we need to know the local user to be able to build the full path to fetch files from $HOME. Can we do that?,I hope I introduced some clarity to you for what really defines these two very similar, yet different roles. The reason for the variability in these positions can be caused by the occurrence that one is more new, Data Science, so a Data Engineer can either focus on more data-ETL work as they have been in the past, or they can also work with a Data Scientist to help build and deploy a model.