The world is changing fast. At the end of 2015, nearly 44% of the world population had access to the internet. 1 By some reliable estimates, the remaining 56% of the world’s population will be connected to the vast digital network by 2025. 2 In less than nine years, every human will have the potential to be connected to another, no matter the physical separation. This makes online privacy a particularly critical endeavor, placing privacy professionals at the center of a critical mass of initiatives, services, responsibilities, and leadership. For example, the scale of the U.S. federal government’s digital and information technology mission is staggering, as the U.S. federal government represents a North Star to so many private and public institutions, the leadership and knowledge of privacy professionals working in our government can impact the privacy and technology landscape in ways that are orders of magnitude larger than they would be in other institutions. 3 The impact of many private entities that operate in the collection and processing of data also have an enormous impact on how notions of privacy are shaped.4
Interaction with our network today largely takes places through the use of a web browser, which is a type of software that allows a user to access and interact with an ever-growing number of hosted services.5 Some of these services, like Google, NYTimes.com, or FederalRegister.gov, may be well known to a large proportion of internet users, while other less prominent services are less well known. Hosted services play an important role in shaping how we receive, interact with, and share data through the web. But how exactly does a web browser work, and in which ways are privacy implicated, if at all, in the context of these online interactions?
This brief guide aims to provide the reader with a foundational understanding of the main components of the internet through practical examples and demonstration. The explainer will begin by explaining the function of a computer server, and how a web browser interacts with and intermediates the flow of data to and from a computer server. Next, we descend into a brief study of one of the most fundamental parts of a computer server, the access log. We take a request, break down its components, and digest the practical significance of each major portion. Finally, we engage in a technical discussion of the implications of third-party hosts and tracking methodologies that are in wide use, and rely on the foundational structure in the way computers speak with one another. This explainer is not intended to answer all of the questions that exist in this space. Rather, it aims to help answer the most foundational ones, and empower the privacy professional with the requisite knowledge to begin asking the difficult questions that will be needed to help shape our future.
The Basic Operation of a Webpage
Understanding the basics of how a webpage loads is essential to understanding how the connected world works. This is especially true when the task at hand might include the need to seek out and identify tracking on a website or service, or the need to explain a certain digital mechanism or objective to a policymaker.
A webpage or web service is hosted on a server, which is a specially configured computer. The basic understanding of a “computer server” usually includes an image of some physical computer, with different colored flashing lights, perhaps sitting in the concrete basement of some remote facility, and distinct from the computers we interact with daily. But the term “server” refers to the function of a specially configured computer rather than as a description of its physical features. This function is a simple one: to serve data to some other computer that has requested it. At a fundamental level, computer servers are no different than the one you have used to access GLTR’s website, and the one you used to access this document.
The part of a computer server that often makes it distinct from a personal computer is its software.6 This may seem like a distinction without a difference, but it is a fundamental one. Physical components of a computer are directed to engage in tasks through a set of instructions, such that we can alter what tasks the computer engages in and how those tasks are carried out by altering the declarations to the computer. Because server software7 directs a computer to act in a certain way, we could presumably use this type of software on any type of computer that had the ability to interpret and execute the instructions. If you wanted to, you could turn your personal computer into a computer server with the right software. Throughout this piece we will examine the log file of the world’s most widely used webserver software, Apache.8
Server software has three core features: the ability to handle requests by other computers; to store and organize files in a certain way; and to make those files accessible to the outside world, here through the internet. Because server software is task-intensive on certain physical components of a computer, the computer server does often require certain hardware components to perform its function. This is the reason why our internalization of a computer server may not be wholly inaccurate. Imagine the hard drive on your computer, and now imagine trying to store the entire photo albums of 1 billion users: you would need many hard drives, and you would likely need a large facility to store your specialized computer. Aside from the practical reality, the software controlling a system that large would not be categorically different from server software that you could install on your personal computer.
To better explain how computer servers communicate with and process requests, consider the other meanings of the word “server,” such as a server at a restaurant—which we also may refer to as a waiter or waitress. We can think about a computer server’s function in terms of a waiter at a restaurant. A server greets you when you sit down at the table, takes your order, brings you your food, and concludes the interaction by bringing you a check. We think of waiters who work at restaurants not in terms of their physical differences but in terms of their function as a waiter—i.e., a waiter is a waiter not because of their physical construction—although like computer servers, some physical attributes may aid waiters in performing some of their tasks—but because being a waiter is dictated by the actions they take to fulfill that function. Recognizing the distinction that a server is software (and not hardware) is critical. Like a waiter, a computer server performs analogous tasks but in a digital context.
We now must make one small shift in our language. Up until this point we have discussed computer servers. We discussed the fundamental distinction between a computer server and your personal computer, and introduced the analogy of a waiter at a restaurant to explain that the function of a computer server is dictated by the instructions given to it by the server software. Because we agreed that software is the defining feature of a computer server, and that in theory computer in computer server could be replaced by your computer or some bulky computer that spans the length of a large facility in a remote location, we can replace computer in computer server with web. We will now be referring to a webserver, and its functions. Here, web in webserver means that our computer server has now been connected to a network of other computer servers, and that any user can access some of the content on this webserver through a browser.
Before you even visit a webpage (the restaurant), your browser’s request has to be routed to the server. In our physical-world analogy, this would be like driving, biking, or walking to the restaurant along some route that led to the restaurant. Routing your browser’s request to the address of a webserver is a complex process that is outside the scope of this Explainer. You only need to recognize that this is itself a separate process. Instead of the physical-world street address a restaurant may use to identify its location to patrons, directory services, such as domain name service (“DNS”), look for servers based on their internet protocol (“IP”) address.
Once you arrive at the webserver (or restaurant), the server greets your browser by asking it a few preliminary questions and stores the responses to those questions in a log file.9 Unlike a physical-word visit to a restaurant, the questions your browser is asked to answer are obligatory. While the exchange can be thought of as a polite question-and-answer between your browser and webserver, the server has to ask these questions because it knows nothing about who is making the request. The server may need to know the type and version of your browser, the types of operating system your browser was built for, and other pertinent information. Humans are remarkable at inferring information from context. Computers do not possess these same features, and so take nothing for granted, and must ask questions in order to form some basic understanding about who is making the request and how it ought to respond.
Below is an example of the record one type of server software, Apache, makes during your arrival. In Apache this preliminary information is stored in a file called access.log. This access.log file was generated by my personal webserver and contains a listing of every request that was made to my webserver. Notice the highlighted line in blue. This line displays an entry showing that a Googlebot visited my website on April 4, 2016. It also stores other information about this particular visit, such as the type of browser/software that was used to make the request (here Googlebot’s own special software version 2.1), the location of the content requested, and the time and date of the request.
Accordingly, here is how we would read the Googlebot’s visit. On April 4, 2016, at 9:32 p.m. (UTC), a service identifying itself as Googlebot/2.1, made a GET-request for a text file on [this server] called robots.txt. The request originated from the IP Address: 184.108.40.206, and the file could not be found.10 At the time this request was made, I did not have a robots.txt file11 on my webserver. So naturally, my server could not deliver that document to the Googlebot.
We can analogize that interaction back to the restaurant. When your waiter asks you what you would like to eat, you tell them the name of the dish you would like to order. In effect, you are making a request to the waiter. You may tell your waiter that you’d like to order the salmon with asparagus, the waiter will acknowledge your request, put your order in to the chef, and will fulfill your request by bringing you your meal. When you visit a webpage, your browser is responsible for making a request to the webserver for content. For example, if you are visiting the New York Times webpage, your computer may ask for a series of articles that make up the front page. This digital menu presented to your browser—and then to you—like the menu at a restaurant, enables you to select the content you would like to access and communicate that request to the server. You browse the articles that seem interesting, and when you have found one that looks appetizing, you click on a link to the article that asks the New York Times webserver to load the files that contain the full article.12 And this same process takes place on this website. Here is another example of a request for an image on my webserver.
A natural language phrasing of this request could be: Hi, StephanDalal.com, I’m 220.127.116.11. GET me the document called “internet.users.jpg,” please. Using our physical-world analogy, I was greeted, took a look at the menu, placed an order (made a request) with the waiter (server), and my food brought to me (my request fulfilled). Notice the circled transaction code, 200. This indicates that the request was, unlike the request for robots.txt, successfully fulfilled.
Notice the type of information the server collected about my request: my location, which is based on my IP address; when I accessed the information; what browser software I used and its version; and what I was accessing.13 Unlike visiting a restaurant, when you visit a webpage, your browser will make several requests to the webserver each second. Recall our earlier discussion about the natural state of computers where nothing is taken for granted. Everything on a webpage needs to be “served” to you, from text, to pictures, to videos, other services, tracking scripts, as well as many other features that a web service may use.
You can start to imagine that if given a list of 10, or 50, or 100 requests, one could begin to piece together what a person was looking for, and perhaps even who they were. Would it be unreasonable to infer that a person who made three requests: a request to a bar exam preparation website; a request to the bar application page for the state of New York; and a request to a website that provided information about how to obtain a notary, was a law student, perhaps graduating in the near future? What if the IP address showed those requests originating from Washington, DC? Would you be comfortable inferring that this person was a student at Georgetown, George Washington, or American University? What if I gave you a fourth request: to web page that sells tickets for Georgetown basketball games? How confident would you be in inferring that this person is very likely a law student at Georgetown?
Below is a more detailed example of the conversation between my web browser and the webserver hosting one of the New York Times’ webpage. You should see a few familiar terms in this list of requests, like the ‘GET’ marker. Each GET entry here represents a piece of content my browser has asked the New York Times webserver to serve to it. You may also notice the ‘POST’ marker, which is the name of a protocol that performs a function opposite to a GET request—you can think of the POST request as posting a sign to a tree: you are expressing a message to someone (or to the world). A GET request asks for content, so someone is expressing something to you. In natural language a GET request might be phrased as: please, may I have this; and a POST request may be phrased as here is what you asked for.
But much more data lies beneath these request logs. The above communication is not an Apache access.log file. Instead, it was generated using a program called MITM-Proxy.14 Earlier, we looked at an access log that had unique entries about visitors to a webpage, much like a guest book at a restaurant; MITM-Proxy records the visit from a different perspective. The proxy used to generate this image stands in-between the web browser and the webserver, like the manager of a restaurant who may be able to monitor the communication that is occurring between the waiter, patron, and chef, as a silent observer. We could imagine the manager of the restaurant, to ensure that wait staff communicated politely and efficiently with customers, began to make a sentence-by-sentence log of each communication between parties. Like that, a MITM-Proxy displays (and records) each and every public15 communication that takes place between the webserver and web browser. The result is a precise listing of the requests made, the protocol or method used to handle the request, and who (or to whom) the requests (or responses) were directed. Thus, the listing above represents all of the public communication that occurred between my web browser and the New York Times’ webserver to deliver me one piece of content.
What is important to understand is that these requests occur between your browser and a webserver numerous times per second. A request to my webserver for simple content like an image of a graph may only require one or two request/response transactions. Often however, the request/response transaction between a web browser and webserver—which is merely a conversation between two computers—includes hundreds (and potentially thousands) of requests that are fulfilled within seconds, as the complexity of the web service or content your browser is requesting increases. If a webserver is properly configured, connected to the outside world, and accepting traffic, each individual request will usually be met with an individual response.
Looking at one of the request/response transactions from our example, we can see a detailed response to the request my browser made.
This request seems to be from a third-party service, called qsearch, that the New York Times relies on. The New York Times may be using qsearch to help keep track of its content, or to perform some web site analytics.16 Why was a request made to search if we did not make any request through our browser?
Importantly, your browser will, on its own, load all of the coded content on a webpage when it first visits the page. For example, when you decided to visit GLTR’s website, you simply typed in the domain name. When your browser was routed to GLTR’s server, it had to answer a series of questions, and once that was completed, GLTR presented your browser with all of the files needed for your browser to display our website to you. Those files contained instructions for your browser, in a language called Hypertext Markup Language (HTML).17 When you first visit a webpage by instructing your browser to make a request to the web server, the web server automatically assumes that your browser will want to load the initial (home page) content to you. At times, this initial phase can include tracking scripts, analytic code, or instructions from the webserver to load other files that live at different web servers.
Now we examine the response we received from qsearch.
Now, take another look at the detailed response pictured above. Can you discern just from reading the report what type of content we received? Notice the Content-Type field, and you will see that we received an image, specifically a GIF.18 Perhaps the report contains other interesting information about this response? We can look to the following fields for more information: Format, Size, Mode, Background, Duration, Transparency, Version. Looking to the Size field, we notice that the image is quite small—in fact, the image is only 1 x 1 pixels in size. An image of this small size surely has no practical value, as far as pictures go. So what was the point of serving us this image? Here, we’ve found what’s called a tracking-pixel, a mechanism that can be used to track visitors to a web service. How these pixels work are saved for another day.19 But recall our discussion of the access log file, which we said tracks several pieces of information about a request that is made to a web server. Also recall the entry on my server’s access.log file about my request for an image of a graph. Once I made that request, my webserver recorded my visit. Would the size of a requested image change that? The answer is no. And so one of the ways a tracking-pixel works, is by causing a practically invisible image to be requested, logged by the web server that stores that nearly invisible image, and then respond with the invisible image.
Like tracking physical footsteps, web servers are able to follow your activity on the web. After all, they have stored in their log a request you made, the time you made, and where you were when you made it. One or two request logs may not lead to a meaningful model of where you went on the web or what you were doing. But what if we loaded 30 or 40 pieces of content, each of which made a request to some web server that recorded it, and we continued to load these files at each web site you visited. We could paint a detailed portrait of the visitor, and perhaps learn information about their lives. You were able to do that with four pieces of information I gave you earlier about the law student.
Understanding how a web server processes requests and, understanding what kind of information log files detail about g a user’s browser history, are key to understanding fundamental legal and policy discussions surrounding privacy in the twenty-first century. In the criminal domain, judges struggle with applying the Fourth Amendment’s third party doctrine, which states that a user does not have a reasonable expectation of privacy in information surrendered to a third party, to digital interactions that are almost invariably required to go through a third party service provider in order to occur.20 While this explainer takes no position in those debates, a technologically correct understanding of the issues at hand is crucial to their successful resolution.
We learned some useful information about the basic structure of how a web page loads, and the foundational components involved in the transaction: the web browser, web server, access.log file, and a series of request/response transactions. Web technologies are built on the foundations of these mechanisms. Understanding the basic structure of how services communicate allows those with the prerogative to influence sensible changes to our laws and policies the opportunity to shape the design of systems that recognize our data-sharing world. Because our technological landscape is in flux, the process of answering key legal and policy questions will become increasingly reliant on an understanding of foundational technologies, like the web.