A few folks wrote to me to mention something I missed: security.
When you use code you didn’t author, you’re taking a risk. You’re trusting that the third-party code does not have security issues, that the author has good intent.
Chris makes a very good point, especially for those developers of the npm install every-damn-thing persuasion: getting an enormous framework that you don’t completely understand just because you need a small portion of its features is bad security practice. And the target is a juicy one: a bad actor who finds (or introduces) a vulnerability in a big and widely-used library has a whole lot of power. Security concerns are a major part of why I go vanilla/stdlib where possible.
But as always with security the answer isn’t so clear-cut and simple, and I’d argue that it’s dangerous to encourage people to write their own solutions as a matter of course, for security reasons. For a start, you should never roll your own cryptographic libraries because you’re almost certainly going to fuck it up: an undetectable and easy-to-make mistake in your crypto implementation can lead to a catastrophic cascade and completely undermine the value of your cryptography. If you’re smart enough about crypto to implement crypto properly, you should contribute towards one of the major libraries. And if you’re not smart enough about crypto (and if you’re not sure, then you’re not), you should use one of those libraries. And even then you should take care to integrate and use it properly: people have been tripped over before by badly initialised keys or the use of the wrong kind of cipher for their use-case. Crypto is hard enough that even experts fuck it up and important enough that you can’t afford to get it wrong.
The same rule applies to a much lesser extent to other parts of your application, and especially for beginner developers. Implementing an authentication/authorisation system isn’t hard, but it’s another thing where getting it wrong can have disastrous consequences. Beginner (and even intermediate) developers routinely make mistakes with this kind of feature: unhashed, reversibly-encrypted, or incorrectly-hashed (wrong algorithm, no salt, etc.) passwords, badly-thought-out password reset strategies, incompletely applied access controls, etc. I’m confident that Chris and I would be in agreement that the best approach is for a developer to learn to implement these things properly and then do so. But if having to learn to implement them properly is a barrier to getting started, I’d rather than a beginner developer instead use a tried-and-tested off-the-shelf like Devise/Warden.
Other examples of things that beginner/intermediate developers sometimes get wrong might be XSS protection and SQL parameter escaping. And again, for languages that don’t have safety features built in, a framework can fill the gap. Rolling your own DOM whitelisting code for a social application is possible, but using a solution like DOMPurify is almost-certainly going to be more-secure for most developers because, you guessed it, this is another area where it’s easy to make a mess of things.
My inclination is to adapt Chris’s advice on this issue, to instead say that for the best security:
Ideally: understand what all your code does, for example because you wrote it yourself.
However: if you’re not confident in your ability to implement something securely (and especially with cryptography), use an off-the-shelf library.
If you use a library: use the usual rules (popularity, maintenance cycle, etc.) to filter the list, but be sure to use the library with the smallest possible footprint – the best library should (a) do only the one specific task you need done, and no more, and (b) be written in a way that lends itself to you learning from it, understanding it, and hopefully being able to maintain it yourself.
Starting in Edge 82.0.425.0 Canary, a new flag is available.
This is a good move; a relatively simple innovation that’s sure to help end-user security. If you can’t see what’s different above without following the link through to the original article, here’s the short version: an upcoming version of Edge will allow you to authorise a specific site to open a particular application to handle a link… without having to compromise by choosing either to (a) see the security dialog every single time (which teaches users to “just click OK”) or (b) allow the dialog to be suppressed for links that open a particular application (which makes it easier for bad guys to make poisonous links).
So you’ll be able to, for example, say “slack.com can open Slack for me, but other websites have to ask”. Nice.
I hope that other browser manufacturers follow suit, especially on mobile where the web/web-launched-native-app boundary has never been fuzzier.
Anticipatory note: based on the traffic I already get to my blog and the keywords people search for, I imagine that some people will end up here looking to learn “how to become a hacker”. If that’s your goal, you’re probably already asking the wrong question, but I direct you to Eric S. Raymond’s Guide/FAQ on the subject. Good luck.
Few words have seen such mutation of meaning over their lifetimes as the word “silly”. The earliest references, found in Old English, Proto-Germanic, and Old Norse and presumably having an original root even earlier, meant “happy”. By the end of the 12th century it meant “pious”; by the end of the 13th, “pitiable” or “weak”; only by the late 16th coming to mean “foolish”; its evolution continues in the present day.
But there’s little so silly as the media-driven evolution of the word “hacker” into something that’s at least a little offensive those of us who probably would be described as hackers. Let’s take a look.
What people think it means
Computer criminal with access to either knowledge or tools which are (or should be) illegal.
What it originally meant
Expert, creative computer programmer; often politically inclined towards information transparency, egalitarianism, anti-authoritarianism, anarchy, and/or decentralisation of power.
The earliest recorded uses of the word “hack” had a meaning that is unchanged to this day: to chop or cut, as you might describe hacking down an unruly bramble. There are clear links between this and the contemporary definition, “to plod away at a repetitive task”. However, it’s less certain how the word came to be associated with the meaning it would come to take on in the computer labs of 1960s university campuses (the earliest references seem to come from around April 1955).
There, the word hacker came to describe computer experts who were developing a culture of:
sharing computer resources and code (even to the extent, in extreme cases, breaking into systems to establish more equal opportunity of access),
learning everything possible about humankind’s new digital frontiers (hacking to learn, not learning to hack)
discovering and advancing the limits of computers: it’s been said that the difference between a non-hacker and a hacker is that a non-hacker asks of a new gadget “what does it do?”, while a hacker asks “what can I make it do?”
It is absolutely possible for hacking, then, to involve no lawbreaking whatsoever. Plenty of hacking involves writing (and sharing) code, reverse-engineering technology and systems you own or to which you have legitimate access, and pushing the boundaries of what’s possible in terms of software, art, and human-computer interaction. Even among hackers with a specific interest in computer security, there’s plenty of scope for the legal pursuit of their interests: penetration testing, security research, defensive security, auditing, vulnerability assessment, developer education… (I didn’t say cyberwarfare because 90% of its application is of questionable legality, but it is of course a big growth area.)
So what changed? Hackers got famous, and not for the best reasons. A big tipping point came in the early 1980s when hacking group The 414s broke into a number of high-profile computer systems, mostly by using the default password which had never been changed. The six teenagers responsible were arrested by the FBI but few were charged, and those that were were charged only with minor offences. This was at least in part because there weren’t yet solid laws under which to prosecute them but also because they were cooperative, apologetic, and for the most part hadn’t caused any real harm. Mostly they’d just been curious about what they could get access to, and were interested in exploring the systems to which they’d logged-in, and seeing how long they could remain there undetected. These remain common motivations for many hackers to this day.
News media though – after being excited by “hacker” ideas introduced by WarGames – rightly realised that a hacker with the same elementary resources as these teens but with malicious intent could cause significant real-world damage. Bruce Schneier argued last year that the danger of this may be higher today than ever before. The press ran news stories strongly associating the word “hacker” specifically with the focus on the illegal activities in which some hackers engage. The release of Neuromancer the following year, coupled with an increasing awareness of and organisation by hacker groups and a number of arrests on both sides of the Atlantic only fuelled things further. By the end of the decade it was essentially impossible for a layperson to see the word “hacker” in anything other than a negative light. Counter-arguments like The Conscience of a Hacker (Hacker’s Manifesto) didn’t reach remotely the same audiences: and even if they had, the points they made remain hard to sympathise with for those outside of hacker communities.
A lack of understanding about what hackers did and what motivated them made them seem mysterious and otherworldly. People came to make the same assumptions about hackers that they do about magicians – that their abilities are the result of being privy to tightly-guarded knowledge rather than years of practice – and this elevated them to a mythical level of threat. By the time that Kevin Mitnick was jailed in the mid-1990s, prosecutors were able to successfully persuade a judge that this “most dangerous hacker in the world” must be kept in solitary confinement and with no access to telephones to ensure that he couldn’t, for example, “start a nuclear war by whistling into a pay phone”. Yes, really.
Every decade’s hackers have debated whether or not the next decade’s have correctly interpreted their idea of “hacker ethics”. For me, Steven Levy’s tenets encompass them best:
Access to computers – and anything which might teach you something about the way the world works – should be unlimited and total.
All information should be free.
Mistrust authority – promote decentralization.
Hackers should be judged by their hacking, not bogus criteria such as degrees, age, race, or position.
You can create art and beauty on a computer.
Computers can change your life for the better.
Given these concepts as representative of hacker ethics, I’m convinced that hacking remains alive and well today. Hackers continue to be responsible for many of the coolest and most-important innovations in computing, and are likely to continue to do so. Unlike many other sciences, where progress over the ages has gradually pushed innovators away from backrooms and garages and into labs to take advantage of increasingly-precise generations of equipment, the tools of computer science are increasingly available to individuals. More than ever before, bedroom-based hackers are able to get started on their journey with nothing more than a basic laptop or desktop computer and a stack of freely-available open-source software and documentation. That progress may be threatened by the growth in popularity of easy-to-use (but highly locked-down) tablets and smartphones, but the barrier to entry is still low enough that most people can pass it, and the new generation of ultra-lightweight computers like the Raspberry Pi are doing their part to inspire the next generation of hackers, too.
That said, and as much as I personally love and identify with the term “hacker”, the hacker community has never been less in-need of this overarching label. The diverse variety of types of technologist nowadays coupled with the infiltration of pop culture by geek culture has inevitably diluted only to be replaced with a multitude of others each describing a narrow but understandable part of the hacker mindset. You can describe yourself today as a coder, gamer, maker, biohacker, upcycler,cracker, blogger, reverse-engineer, social engineer, unconferencer, or one of dozens of other terms that more-specifically ties you to your community. You’ll be understood and you’ll be elegantly sidestepping the implications of criminality associated with the word “hacker”.
(I’m aware that I linked at the top of this blog post to the venerable but also-problematic Eric S. Raymond; if anybody can suggest an equivalent resource by another author I’d love to swap out the link.)
Verdict: The word “hacker” has become so broad in scope that we’ll never be able to rein it back in. It’s tainted by its associations with both criminality, on one side, and unpleasant individuals on the other, and it’s time to accept that the popular contemporary meaning has won. Let’s find new words to define ourselves, instead.
…why would cookies ever need to work across domains? Authentication, shopping carts and all that good stuff can happen on the same domain. Third-party cookies, on the other hand, seem custom made for tracking and frankly, not much else.
Instead, then, I imagine that a Web re-invented today would treat third-party content a little like we treat CORS or we’re beginning to treat resource types specified by Content-Security-Policy and Feature-Policy headers. That is, website owners would need to “opt-in” to which third-party domains could be trusted to provide content, perhaps subdivided into scripts and cookies. This wouldn’t prohibit trackers, but it would make their use less of an assumed-default (develolpers would have to truly think about the implications of what they were enabling) and more transparent: it’d be very easy for a browser to list (and optionally block, sandbox, or anonymise) third-party trackers could potentially target them, on a given site, without having to first evaluate any scripts and their sources.
I was recently inspired by Dave Rupert to remove Google Analytics from this blog. For a while, there’ll have been no third-party scripts being delivered on this site at all, except through iframes (for video embedding etc., which is different anyway because there’s significantly less scope leak). Recently, I’ve been experimenting with Jetpack because I get it for free through my new employer, but I’m always looking for ways to improve how well my site “stands alone”: you can block all third-party resources and this site should still work just fine (I wonder if I can add a feature to my service worker to allow visitors to control exactly what third party content they’re exposed to?).
That moment when you realise, to your immense surprise, that the research you’ve spent most of the year on might actually demonstrate the thing you set out to test after all. 😲
Screw you, null hypothesis.
A few hundred years ago, the words “awesome” and “awful” were synonyms. From their roots, you can see why: they mean “tending to or causing awe” and “full or or characterised by awe”, respectively. Nowadays, though, they’re opposites, and it’s pretty awesome to see how our language continues to evolve. You know what’s awful, though? Computer viruses. Right?
You know what I mean by a virus, right? A malicious computer program bent on causing destruction, spying on your online activity, encrypting your files and ransoming them back to you, showing you unwanted ads, etc… but hang on: that’s not right at all…
What people think it means
Malicious or unwanted computer software designed to cause trouble/commit crimes.
What it originally meant
Computer software that hides its code inside programs and, when they’re run, copies itself into other programs.
Only a hundred and thirty years ago it was still widely believed that “bad air” was the principal cause of disease. The idea that tiny germs could be the cause of infection was only just beginning to take hold. It was in this environment that the excellent scientist Ernest Hankin travelled around India studying outbreaks of disease and promoting germ theory by demonstrating that boiling water prevented cholera by killing the (newly-discovered) vibrio cholerae bacterium. But his most-important discovery was that water from a certain part of the Ganges seemed to be naturally inviable as a home for vibrio cholerae… and that boiling this water removed this superpower, allowing the special water to begin to once again culture the bacterium.
Hankin correctly theorised that there was something in that water that preyed upon vibrio cholerae; something too small to see with a microscope. In doing so, he was probably the first person to identify what we now call a bacteriophage: the most common kind of virus. Bacteriophages were briefly seen as exciting for their medical potential. But then in the 1940s antibiotics, which were seen as far more-convenient, began to be manufactured in bulk, and we stopped seriously looking at “phage therapy” (interestingly, phages are seeing a bit of a resurgence as antibiotic resistance becomes increasingly problematic).
But the important discovery kicked-off by the early observations of Hankin and others was that viruses exist. Later, researchers would discover how these viruses work1: they inject their genetic material into cells, and this injected “code” supplants the unfortunate cell’s usual processes. The cell is “reprogrammed” – sometimes after a dormant period – to churns out more of the virus, becoming a “virus factory”.
Let’s switch to computer science. Legendary mathematician John von Neumann, fresh from showing off his expertise in calculating how shaped charges should be used to build the first atomic bombs, invented the new field of cellular autonoma. Cellular autonoma are computationally-logical, independent entities that exhibit complex behaviour through their interactions, but if you’ve come across them before now it’s probably because you played Conway’s Game of Life, which made the concept popular decades after their invention. Von Neumann was very interested in how ideas from biology could be applied to computer science, and is credited with being the first person to come up with the idea of a self-replicating computer program which would write-out its own instructions to other parts of memory to be executed later: the concept of the first computer virus.
Retroactively-written lists of early computer viruses often identify 1971’s Creeper as the first computer virus: it was a program which, when run, moved (later copied) itself to another computer on the network and showed the message “I’m the creeper: catch me if you can”. It was swiftly followed by a similar program, Reaper, which replicated in a similar way but instead of displaying a message attempted to delete any copies of Creeper that it found. However, Creeper and Reaper weren’t described as viruses at the time and would be more-accurately termed worms nowadays: self-replicating network programs that don’t inject their code into other programs. An interesting thing to note about them, though, is that – contrary to popular conception of a “virus” – neither intended to cause any harm: Creeper‘s entire payload was a relatively-harmless message, and Reaper actually tried to do good by removing presumed-unwanted software.
Another early example that appears in so-called “virus timelines” came in 1975. ANIMAL presented as a twenty questions-style guessing game. But while the user played it would try to copy itself into another user’s directory, spreading itself (we didn’t really do directory permissions back then). Again, this wasn’t really a “virus” but would be better termed a trojan: a program which pretends to be something that it’s not.
It took until 1983 before Fred Cooper gave us a modern definition of a computer virus, one which – ignoring usage by laypeople – stands to this day:
A program which can ‘infect’ other programs by modifying them to include a possibly evolved copy of itself… every program that gets infected may also act as a virus and thus the infection grows.
This definition helps distinguish between merely self-replicating programs like those seen before and a new, theoretical class of programs that would modify host programs such that – typically in addition to the host programs’ normal behaviour – further programs would be similarly modified. Not content with leaving this as a theoretical, Cooper wrote the first “true” computer virus to demonstrate his work (it was never released into the wild): he also managed to prove that there can be no such thing as perfect virus detection.
(Quick side-note: I’m sure we’re all on the same page about the evolution of language here, but for the love of god don’t say viri. Certainly don’t say virii. The correct plural is clearly viruses. The Latin root virus is a mass noun and so has no plural, unlike e.g. fungus/fungi, and so its adoption into a count-noun in English represents the creation of a new word which should therefore, without a precedent to the contrary, favour English pluralisation rules. A parallel would be bonus, which shares virus‘s linguistic path, word ending, and countability-in-Latin: you wouldn’t say “there were end-of-year boni for everybody in my department”, would you? No. So don’t say viri either.)
Viruses came into their own as computers became standardised and commonplace and as communication between them (either by removable media or network/dial-up connections) and Cooper’s theoretical concepts became very much real. In 1986, The Virdim method brought infectious viruses to the DOS platform, opening up virus writers’ access to much of the rapidly growing business and home computer markets.
The Virdim method has two parts: (a) appending the viral code to the end of the program to be infected, and (b) injecting early into the program a call to the appended code. This exploits the typical layout of most DOS executable files and ensures that the viral code is run first, as an infected program loads, and the virus can spread rapidly through a system. The appearance of this method at a time when hard drives were uncommon and so many programs would be run from floppy disks (which could be easily passed around between users) enabled this kind of virus to spread rapidly.
For the most part, early viruses were not malicious. They usually only caused harm as a side-effect (as we’ve already seen, some – like Reaper – were intended to be not just benign but benevolent). For example, programs might run slower if they’re also busy adding viral code to other programs, or a badly-implemented virus might even cause software to crash. But it didn’t take long before viruses started to be used for malicious purposes – pranks, adware, spyware, data ransom, etc. – as well as to carry political messages or to conduct cyberwarfare.
Nowadays, though, viruses are becoming less-common. Wait, what?
Yup, you heard me right: new viruses aren’t being produced at remotely the same kind of rate as they were even in the 1990s. And it’s not that they’re easier for security software to catch and quarantine; if anything, they’re less-detectable as more and more different types of file are nominally “executable” on a typical computer, and widespread access to powerful cryptography has made it easier than ever for a virus to hide itself in the increasingly-sprawling binaries that litter modern computers.
The single biggest reason that virus writing is on the decline is, in my opinion, that writing something as complex as a a virus is longer a necessary step to illicitly getting your program onto other people’s computers2! Nowadays, it’s far easier to write a trojan (e.g. a fake Flash update, dodgy spam attachment, browser toolbar, or a viral free game) and trick people into running it… or else to write a worm that exploits some weakness in an open network interface. Or, in a recent twist, to just add your code to a popular library and let overworked software engineers include it in their projects for you. Modern operating systems make it easy to have your malware run every time they boot and it’ll quickly get lost amongst the noise of all the other (hopefully-legitimate) programs running alongside it.
In short: there’s simply no need to have your code hide itself inside somebody else’s compiled program any more. Users will run your software anyway, and you often don’t even have to work very hard to trick them into doing so.
Verdict: Let’s promote use of the word “malware” instead of “virus” for popular use. It’s more technically-accurate in the vast majority of cases, and it’s actually a more-useful term too.
1 Actually, not all viruses work this way. (Biological) viruses are, it turns out, really really complicated and we’re only just beginning to understand them. Computer viruses, though, we’ve got a solid understanding of.
2 There are other reasons, such as the increase in use of cryptographically-signed binaries, protected memory space/”execute bits”, and so on, but the trend away from traditional viruses and towards trojans for delivery of malicious payloads began long before these features became commonplace.
I’ve just cleared out my desk at the Bodleian in anticipation of my imminent departure and discovered that I’ve managed to successfully keep not only my P60s but also every payslip I’ve ever received in the 8½ years I’ve worked there. At a stretch, I might just end up requiring those for the current tax year but I can’t conceive of any reason I’ll ever need the preceding hundred or so of them, so the five year-old and I shredded them all.
If you’ve ever wanted to watch five solid minutes of cross-cut shredding shot from an awkwardly placed mobile phone camera, this is the video for you. Everybody else can move along.
Can we solve [the problem of supply-chain attacks] by building trustworthy systems out of untrustworthy parts?
It sounds ridiculous on its face, but the Internet itself was a solution to a similar problem: a reliable network built out of unreliable parts. This was the result of decades of research. That research continues today, and it’s how we can have highly resilient distributed systems like Google’s network even though none of the individual components are particularly good. It’s also the philosophy behind much of the cybersecurity industry today: systems watching one another, looking for vulnerabilities and signs of attack.
Security is a lot harder than reliability. We don’t even really know how to build secure systems out of secure parts, let alone out of parts and processes that we can’t trust and that are almost certainly being subverted by governments and criminals around the world. Current security technologies are nowhere near good enough, though, to defend against these increasingly sophisticated attacks. So while this is an important part of the solution, and something we need to focus research on, it’s not going to solve our near-term problems.
Schneier provides a great summary of the state of play with nation-state supply-chain attacks, using the Huawei 5G controversy as a jumping-off point but with reference to the fact that China are far from the only country that weaken the security and privacy of the world’s citizens in order to gain an international spying advantage. He goes on to explain what he sees as the two broad schools of thought are in providing technical solutions to this class of problems, and demonstrates that both are for the time being beyond our reach. The excerpt above comes from his examination of the second school of thought, and it’s a pretty-compelling illustration of why this is a different class of problem that the ones we’ve used to build a reliable Internet.
Let’s face the truth. We are in an abusive relationship with our phones.
Ask yourself the first three questions that UK non-profit Women’s Aid suggests to determine if you’re in an abusive relationship:
Has your partner tried to keep you from seeing your friends or family?
Has your partner prevented you or made it hard for you to continue or start studying, or from going to work?
Does your partner constantly check up on you or follow you?
If you substitute ‘phone’ for ‘partner’, you could answer yes to each question. And then you’ll probably blame yourself.
A fresh take by an excellent article. Bringing a feminist viewpoint to our connection to our smartphones helps to expose the fact that our relationship with the devices would easily be classified as abusive were they human. The article goes on to attempt to diffuse the inevitable self-blame that comes from this realisation and move forward to propose a more-utopian future in which our devices might work for us, rather than for the companies that provide the services for which we use them.
But while we’ve learned to distrust user names and text more generally, pictures are different. You can’t synthesize a picture out of nothing, we assume; a picture had to be of someone. Sure a scammer could appropriate someone else’s picture, but doing so is a risky strategy in a world with google reverse search and so forth. So we tend to trust pictures. A business profile with a picture obviously belongs to someone. A match on a dating site may turn out to be 10 pounds heavier or 10 years older than when a picture was taken, but if there’s a picture, the person obviously exists.
No longer. New adverserial machine learning algorithms allow people to rapidly generate synthetic ‘photographs’ of people who have never existed. Already faces of this sort are being used in espionage.
Computers are good, but your visual processing systems are even better. If you know what to look for, you can spot these fakes at a single glance — at least for the time being. The hardware and software used to generate them will continue to improve, and it may be only a few years until humans fall behind in the arms race between forgery and detection.
Our aim is to make you aware of the ease with which digital identities can be faked, and to help you spot these fakes at a single glance.
I was at a conference last month where research was presented which concluded pretty solidly that the mechanisms used to make “deepfakes” meant that it was probably impossible to create artificial intelligence that can learn to distinguish between real and fake pictures of humans. Simply put, this is because the way we make such images is with generative adversarial networks, an AI technique which thrives upon having an effective discriminator component, and any research into differentiating between real and fake images feeds the capability of the next generation of discriminators!
Instead, then, the best medium-term defence against deepfakes is training humans to be able to identify them, and that’s what this website aims to do. I was pleased that I did very well on my first attempt (I sort-of knew what to look for already, based on a basic understanding of the underlying technologies) but I was also pleased that I was able to learn to do better with the aid of the authors’ tips. Nice.
I’m not anti-framework, but I am pro-informed-developer. If security, accessibility, performance, and browser support are things you care about – and they absolutely should be – then you need to know the impact that the tools you choose have upon those things. It’s easy to learn the impact that vanilla JS has on them, but it’s harder to understand exactly what impact a framework might have or how that impact might be affected by interactions between it and all of the other frameworks and libraries you mix-in. And many developers don’t bother to learn.
Use frameworks if they’re the right tool for your job. But you should work towards understanding your tools. Incidentally: in doing so, you’ll probably come to discover that frameworks are the right tool for fewer jobs than you thought.
The reality is that your sensitive data has likely already been stolen, multiple times. Cybercriminals have your credit card information. They have your social security number and your mother’s maiden name. They have your address and phone number. They obtained the data by hacking any one of the hundreds of companies you entrust with the data — and you have no visibility into those companies’ security practices, and no recourse when they lose your data.
Given this, your best option is to turn your efforts toward trying to make sure that your data isn’t used against you. Enable two-factor authentication for all important accounts whenever possible. Don’t reuse passwords for anything important — and get a password manager to remember them all.
Israel has acknowledged that its recent airstrikes against Hamas were a real-time response to an ongoing cyberattack. From Twitter:
CLEARED FOR RELEASE: We thwarted an attempted Hamas cyber offensive against Israeli targets. Following our successful cyber defensive operation, we targeted a building where the Hamas cyber operatives work.
I doubt that this is actually the first “kinetic” retaliation to a cyber attack; however it’s probably the first one to be openly acknowledged by either of the parties involves. Schneier’s observation that cyberwarfare is an equaliser is correct and it’s exactly why a savvy nation-state would consider this kind of response… but let’s not forget that such cyberattacks are only as viable as they are because nation-states favour cyber-offense over cuber-defence in the first place: they’re interested in building 0-day weapons that they can use against their enemies (and their own citizens) and this entire approach runs counter to the idea of improving defensive security.
From a G7 meeting of interior ministers in Paris this month, an “outcome document“:
Encourage Internet companies to establish lawful access solutions for their products and services, including data that is encrypted, for law enforcement and competent authorities to access digital evidence, when it is removed or hosted on IT servers located abroad or encrypted, without imposing any particular technology and while ensuring that assistance requested from internet companies is underpinned by the rule law and due process protection. Some G7 countries highlight the importance of not prohibiting, limiting, or weakening encryption;
There is a weird belief amongst policy makers that hacking an encryption system’s key management system is fundamentally different than hacking the system’s encryption algorithm. The difference is only technical; the effect is the same. Both are ways of weakening encryption.
The G7’s proposal to encourage encryption backdoors demonstrates two unsurprising things about the politicians in attendance, including that:
They’re unwilling to attempt to force Internet companies to add backdoors (e.g. via legislation, fines, etc.), making their resolution functionally toothless, and
More-importantly: they continue to fail to understand what encryption is and how it works.
Somehow, then, this outcome document simultaneously manages to both go too-far (for a safe and secure cryptographic landscape for everyday users) and not-far-enough (for law enforcement agencies that are in favour of backdoors, despite their huge flaws, to actually gain any benefit). Worst of both worlds, then.
Needless to say, I favour not attempting to weaken encryption, because such measures (a) don’t work against foreign powers, terrorist groups, and hardened criminals and (b) do weaken the personal security of law-abiding citizens and companies (who can then become victims of the former group). “Backdoors”, however phrased, are a terrible idea.
the local part of my email address is just the letter 'd' by itself, which means microsoft has imposed the interesting restriction that my randomly generated password cannot contain the letter 'd' pic.twitter.com/tqTklyotTj
the local part of my email address is just the letter 'd' by itself, which means microsoft has imposed the interesting restriction that my randomly generated password cannot contain the letter 'd' pic.twitter.com/tqTklyotTj