Battery Status readout as a privacy risk

Privacy risks and threats arise even in seemingly innocuous mechanisms. It is a fairly regular issue.

Over a year ago, I was researching the risk of the W3C Battery Status API. The mechanism allows a web site to read the battery level of a device (smartphone, laptop, etc.). One of the positive use cases may be, for example, stopping the execution of intensive operations if the battery is running low.

Our privacy analysis of Battery Status API revealed interesting results.

Privacy analysis of Battery API

The battery status provides the following information:

  • the current level of battery (format: 0.0–1.0, for empty and full battery, respectively)
  • time to a full discharge of battery (in seconds)
  • time to a full charge of battery, if connected to a charger (in seconds)

These items are updated whenever a new value is supplied by the operating system

It turns out that privacy risks may surface even in this kind of – seemingly innocuous – data and access mechanisms.

Frequency of changes

The frequency of changes in the reported readouts from Battery Status API potentially allow the monitoring of users’ computer use habits; for example, potentially enabling analyzing of how frequently the user’s device is under heavy use. This could lead to behavioral analysis.

Additionally, identical installations of computer deployments in standard environments (e.g. at schools, work offices, etc.) are often are behind a NAT. In simple terms, NAT allows a number of users to browse the Internet with an – externally seen – single IP address. The ability of observing any differences between otherwise identical computer installations – potentially allows particular users to be identified (and targeted?).

Battery readouts as identifiers

The information provided by the Battery Status API is not always subject to rapid changes. In other words, this information may be static for a period of time; this in turn may give rise to a short-lived identifier. The situation gets especially interesting when we consider a scenario of users sometimes clearing standard web identifiers (such as cookies). In such a case, a web script could potentially analyse identifiers provided by Battery Status API, and this information then could possibly even lead to re-creation of other identifiers. A simple sketch follows.

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Steven Murdoch – Privacy and Financial Security

Probably not too many academic researchers can say this: some of Steven Murdoch’s research leads have arrived in unmarked envelopes. Murdoch, who has moved to UCL from the University of Cambridge, works primarily in the areas of privacy and financial security, including a rare specialty you might call “crypto for the masses”. It’s the financial security aspect that produces the plain, brown envelopes and also what may be his most satisfying work, “Trying to help individuals when they’re having trouble with huge organisations”.

Murdoch’s work has a twist: “Usability is a security requirement,” he says. As a result, besides writing research papers and appearing as an expert witness, his past includes a successful start-up. Cronto, which developed a usable authentication device, was acquired by VASCO, a market leader in authentication and is now used by banks such as Commerzbank and Rabobank.

Developing the Cronto product was, he says, an iterative process that relied on real-world testing: “In research into privacy, if you build unusable system two things will go wrong,” he says. “One, people won’t use it, so there’s a smaller crowd to hide in.” This issue affects anonymising technologies such as Mixmaster and Mixminion. “In theory they have better security than Tor but no one is using them.” And two, he says, “People make mistakes.” A non-expert user of PGP, for example, can’t always accurately identify which parts of the message are signed and which aren’t.

The start-up experience taught Murdoch how difficult it is to get an idea from research prototype to product, not least because what works in a small case study may not when deployed at scale. “Selling privacy remains difficult,” he says, noting that Cronto had an easier time than some of its forerunners since the business model called for sales to large institutions. The biggest challenge, he says, was not consumer acceptance but making a convincing case that the predicted threats would materialise and that a small company could deliver an acceptable solution.

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Moving towards security and privacy experiments for the real world

Jono and I recently presented our joint paper with Simon and Angela at the Learning from Authoritative Security Experiment Results (LASER) Workshop in San Jose, CA, USA. The workshop was co-located with the IEEE Security and Privacy Symposium. LASER has a different focus each year; in 2016, presented papers explored new approaches to computer security experiments that are repeatable and can be shared across communities.

Through our LASER paper, “Towards robust experimental design for user studies in security and privacy”, we wanted to advance the quest for better experiment design and execution. We proposed the following five principles for conducting robust experiments into usable security and privacy:

  1. Give participants a primary task
  2. Ensure participants experience realistic risk
  3. Avoid priming the participants
  4. Perform experiments double-blind whenever possible
  5. Define these elements precisely: threat model; security; privacy and usability

Understanding users and their interaction with security is a blind spot for many security practitioners and designers. Learning from prior studies within and outside our research group, we have defined principles for conducting robust experiments into usable security and privacy. These principles are informed by efforts in other fields such as biology, qualitative research methods, and medicine, where four overarching experiment-design factors guided our principles:

Internal validity – The experiment is of “suitable scope to achieve the reported results” and is not “susceptible to systematic error”.

External validity – The result of the experiment “is not solely an artifact of the laboratory setting”.

Containment  – There are no “confounds” in the results, and no experimental “effects are a threat to safety” of the participants, the environment, or society generally.

Transparency – “There are no explanatory gaps in the experimental mechanism” and the explanatory “diagram for the experimental mechanism is complete”, in that it covers all relevant entities and activities.

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Do you know what you’re paying for? How contactless cards are still vulnerable to relay attack

Contactless card payments are fast and convenient, but convenience comes at a price: they are vulnerable to fraud. Some of these vulnerabilities are unique to contactless payment cards, and others are shared with the Chip and PIN cards – those that must be plugged into a card reader – upon which they’re based. Both are vulnerable to what’s called a relay attack. The risk for contactless cards, however, is far higher because no PIN number is required to complete the transaction. Consequently, the card payments industry has been working on ways to solve this problem.

The relay attack is also known as the “chess grandmaster attack”, by analogy to the ruse in which someone who doesn’t know how to play chess can beat an expert: the player simultaneously challenges two grandmasters to an online game of chess, and uses the moves chosen by the first grandmaster in the game against the second grandmaster, and vice versa. By relaying the opponents’ moves between the games, the player appears to be a formidable opponent to both grandmasters, and will win (or at least force a draw) in one match.

Similarly, in a relay attack the fraudster’s fake card doesn’t know how to respond properly to the payment terminal because, unlike a genuine card, it doesn’t contain the cryptographic key known only to the card and the bank that verifies the card is genuine. But like the fake chess grandmaster, the fraudster can relay the communication of the genuine card in place of the fake card.

For example, the victim’s card (Alice, in the diagram below) would be in a fake or hacked card payment terminal (Bob) and the criminal would use the fake card (Carol) to attempt a purchase in a genuine terminal (Dave). The bank would challenge the fake card to prove its identity, this challenge is then relayed to the genuine card in the hacked terminal, and the genuine card’s response is relayed back on behalf of the fake card to the bank for verification. The end result is that the terminal used for the real purchase sees the fake card as genuine, and the victim later finds an unexpected and expensive purchase on their statement.

A rigged payment terminal capable of performing the relay attack can be made from off-the-shelf components
The relay attack, where the cards and terminals can be at any distance from each other

Demonstrating the grandmaster attack

I first demonstrated that this vulnerability was real with my colleague Saar Drimer at Cambridge, showing on television how the attack could work in Britain in 2007 and in the Netherlands in 2009.

In our scenario, the victim put their card in a fake terminal thinking they were buying a coffee when in fact their card details were relayed by a radio link to another shop, where the criminal used a fake card to buy something far more expensive. The fake terminal showed the victim only the price of a cup of coffee, but when the bank statement arrives later the victim has an unpleasant surprise.

At the time, the banking industry agreed that the vulnerability was real, but argued that as it was difficult to carry out in practice it was not a serious risk. It’s true that, to avoid suspicion, the fraudulent purchase must take place within a few tens of seconds of the victim putting their card into the fake terminal. But this restriction only applies to the Chip and PIN contact cards available at the time. The same vulnerability applies to today’s contactless cards, only now the fraudster need only be physically near the victim at the time – contactless cards can communicate at a distance, even while the card is in the victim’s pocket or bag.

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Analyzing privacy aspects of the W3C Vibration API

When making web standards, multiple scenarios possibly affecting privacy are considered. This includes even extreme ones; and this is a good thing. It’s best to predict the creative use and abuse of web features, before they are exploited.

Vibration API

The mechanism allowing websites to utilize a device’s vibration motor is called the Vibration API. The mechanism allows a device to be vibrated in particular patterns. The argument to the vibration() function is a list called a pattern. The list’s odd indices cause a vibration for a specific length of time, and even values are the still periods. For example, a web designer can make the device to vibrate for a specific duration, say 50 ms and follow that with a still period of 100 ms using the following call:

navigator.vibration([50,100])

In certain circumstances this can create several interesting potential privacy risks. Let’s look at the Vibration API from a privacy point of view. I will consider a number of scenarios on various technical levels.

Toy de-anonymisation scenario

One potential risk is the identification of a particular person in real life. Imagine several people in the same room placing their devices on a table. At some point, one person’s device vibrates in specific patterns. This individual might then become marked to a potential observer.

How could such a script be delivered? One possibility is though web advertising infrastructures. These offer capabilities of targeting individuals with a considerable accuracy (with respect to their location).

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Microsoft Ireland: winning the battle for privacy but losing the war

On Thursday, Microsoft won an important federal appeals court case against the US government. The case centres on a warrant issued in December 2013, requiring Microsoft to disclose emails and other records for a particular msn.com email address which was related to a narcotics investigation. It transpired that these emails were stored in a Microsoft datacenter in Ireland, but the US government argued that, since Microsoft is a US company and can easily copy the data into the US, a US warrant would suffice. Microsoft argued that the proper way for the US government to obtain the data is through the Mutual Legal Assistance Treaty (MLAT) between the US and Ireland, where an Irish court would decide, according to Irish law, whether the data should be handed over to US authorities. Part of the US government’s objection to this approach was that the MLAT process is sometimes very slow, although though the Irish government has committed to consider any such request “expeditiously”.

The appeal court decision is an important victory for Microsoft (following two lower courts ruling against them) because they sell their european datacenters as giving their european customers confidence that their data will be subject to the more stringent european privacy laws. Microsoft’s case was understandably supported by other technology companies in the same position, as well as civil liberties organisations such as the Electronic Frontier Foundation in the US and the Open Rights Group in the UK. However, I have mixed opinions about the outcome: while probably the right decision in this case, the wider consequences could be detrimental to privacy.

Both sides of the case wanted to set a precedent (if not legally, at least in practice). The US government wanted US law to apply to data held by US companies, wherever in the world the data resides. Microsoft wanted the location of the data to imply which legal regime applied, and so their customers could be confident that their own country’s laws will be respected, provided Microsoft have a datacenter in their own country (or at least one with compatible laws). My concern is that this ruling will give false assurance to customers of US companies, because in other circumstances a different decision could quite easily be taken.

We know about this case because Microsoft chose to challenge it in court, and were able to do so. This is the first time Microsoft has challenged a US warrant for data stored in their Irish datacenter despite it being in operation for three years prior to the case. Had the email address been associated with a more serious crime, or the demand for emails accompanied by a gagging order, it may not have been challenged. Microsoft and other technology companies may still choose to accept, or may even be forced to accept, the applicability of future US warrants to data they control, regardless of the court decision last week. One extreme approach to compel this approach would be for the US to jail employees until their demands are complied with.

For this reason, I have argued that control over data is more important than where data resides. If a company does not have the technical capability to comply with an order, it is easier for them to defend their case, and so protects both the company’s customers and staff. Microsoft have taken precisely this approach for their new German datacenters, which will be operated by staff in Germany working for a German “data trustee” (Deutsche Telekom). In contrast to their Irish datacenter, Microsoft staff will be unable to access customer data, except with the permission of and oversight from the data trustee.

While the data trustee model resists information being obtained through improper legal means, a malicious employee could still break rules for personal gain, or the systems designed to process legal requests could be hacked into. With modern security techniques it is possible to do better. End-to-end encryption for instant messaging is one such example, because (if designed properly) the communications provider does not have access to messages they carry. A more sophisticated approach is “distributed consensus”, where a decision is only taken if a majority of participants agree. The consensus process is automated and enforced through cryptography, ensuring that rules are respected even if some participants are malicious. Critical decisions in the Tor network and in Bitcoin are taken this way. More generally, there is a growing recognition that purely legal or procedural mechanisms are insufficient to protect privacy. This is one of the common threads present in much of the research presented at the Privacy Enhancing Technologies Symposium, being held this week in Darmstadt: recognising that there will always be imperfections in software, people and procedures and showing that nevertheless individual’s privacy can still be protected.

Cybersecurity: Supporting a Resilient and Trustworthy System for the UK

Yesterday, the Royal Society published their report on cybersecurity policy, practice and research – Progress and Research in Cybersecurity: Supporting a Resilient and Trustworthy System for the UK. The report includes 10 recommendations for government, industry, universities and research funders, covering the topics of trust, resilience, research and translation. This major report was written based on evidence gathered from an open call, as well as meetings with key stakeholders, guided by a steering committee which included UCL members M. Angela Sasse and Steven Murdoch. Here, we summarise what we think are the most important signposts for cybersecurity research and practice.

The report points out that, as online technology and services touches nearly everyone’s lives, the role of cybersecurity is to support a resilient digital economy and society in the UK. Previously, the government focus was very much on national security – but it is just as important that we are able to secure our personal data, financial assets and homes, and that our decisions as consumers and citizens are not manipulated or subverted. The report rightly states that the national authority for cybersecurity needs to be transparent, expert and have a clear and widely-understood remit. The creation of the National Cyber Security Center (NCSC) may be a first step towards this, but the report also points out that currently, it is to be under control of GCHQ – and this is bound to be a problem given the lack of trust they have from parts of industry and civil society, as a result of their role in subverting the development of security standards in order to make surveillance easier.

The report furthermore recommends that the government preserves the robustness of encryption, including end-to-end encryption and promotes its widespread use. Encryption and other computer security measures provides the foundation that allows individuals to trust organisations and attempts to weaken these measures in order to facilitate surveillance will create security risks and reduce robustness. Whether weaknesses are created by requiring fragile encryption algorithms or mandating exceptional access, these attempts increase the risk of unauthorised parties gaining access to sensitive computer systems.

The report also rightly says that companies need to take more responsibility for cyber security: to be a trustworthy business partner or service provider, they need to be competent, and have the correct motivation. “Dumping” the risks associated with online transactions on customers or business partners who don’t have skills and resources to deal with them, and hiding this in complex terms and conditions, is not trustworthy behaviour. Making companies take liability for the security failures will likely play a part in improving trustworthiness, but needs to be done carefully. Important open source software such as OpenSSL is developed by a handful of people in their spare time. When something goes wrong (such as Heartbleed), multi-billion dollar companies who built their business around open source software without contributing or even properly evaluating the risk, should not be able to assign liability to the volunteer developers. Companies should also be transparent and be required to disclose vulnerabilities and breaches. The report calls for such disclosures to be made to a central body, but we would go further and recommend that they be disclosed to the customers exposed to risks as a result of the security failures.

In order to improve and demonstrate competence in cybersecurity, we need evidence-based guidance on state-of-the-art cybersecurity principles, standards and practices. These go further than just following widely used industry practice, or following craft knowledge based on expert opinion, but should be an an ambitious set of criteria which have been demonstrated to make a pronounced improvement in security. A significant effort is required to transform what is currently a set of common practices (the term “best practice” is a misnomer) through empirical tests and measurements into a set of practices and tools that we know to be effective and efficient under real-world conditions (this is the mission of The Research Institute in Science of Cyber Security (RISCS), which has just started a new 5 year phase). The report in particular calls for research on ways to quantify the security offered by anonymization algorithms and anonymous communication techniques, as these perform an critical role in supporting privacy by design.

The report calls for more research, and new means to assess and support research. Cybersecurity is an international field, and research funders should seek for peer-review to be performed by the best expertise available internationally and to remove barriers to international and multidisciplinary research. However, supporting multidisciplinary research should not be at the expense of addressing the many hard technical problems which remain. The report also identifies the benefits of challenge-led funding, where a research programme is led by a world-leading expert with substantial freedom in how research funds are distributed. For this model to work it is critical to create the right environment for recruiting international experts to both lead and participate in such challenges, which as fellow steering-group member Ross Anderson has pointed out, the vote to leave the EU has seriously harmed. Finally, the report calls for improvements to the research commercialisation process, including that universities priorities getting research out into the real world over trying to extract as much money as possible, and that new investment sources are developed to fill in the gaps left by traditional venture capital, such as for software developed for the public good.

Workshop: Theory and Practice of Secure Multiparty Computation

Members of the UCL information security group visiting Aarhus rainbow panorama.
Members of the UCL information security group visiting the Aarhus rainbow panorama

The workshop was organized by CFEM and CTIC, and took place in Aarhus from May 30 until June 3, 2016. The speakers presented both theoretical advancements and practical implementations (e.g., voting, auction systems) of MPC, as well as open problems and future directions.

The first day started with Ivan Damgård presenting TinyTable, a new simple 2-party secure computation protocol. Then Martin Hirt introduced the open problem of general adversary characterization and efficient protocol generation. The last two talks of the day discussed Efficient Constant-Round Multiparty Computation and Privacy-Preserving Outsourcing by Distributed Verifiable Computation.

The first session of the second day included two presentations on theoretical results which introduced a series of three-round secure two-party protocols and their security guarantees, and fast circuit garbling under weak assumptions. On the practical side, Rafael Pass presented formal analysis of the block-chain, and abhi shelat outlined how MPC can enable secure matchings. After the lunch break, probabilistic termination of MPC protocols and low-effort VSS protocols were discussed.

Yuval Ishai and Elette Boyle kicked off the third day by presenting constructions of function secret sharing schemes, and recent developments in the area. After the lunch break, a new hardware design enabling Verifiable ASICs was introduced and the latest progress on “oblivious memories” were discussed.

The fourth day featured presentations on RAMs, Garbled Circuits and a discussion on the computational overhead of MPC under specific adversarial models. Additionally, there was a number of presentations on practical problems, potential solutions and deployed systems. For instance, Aaron Johnson presented a system for private measurements on Tor, and Cybernetica representatives demonstrated Sharemind and their APIs. The rump session of the workshop took place in the evening, where various speakers were given at most 7 minutes to present new problems or their latest research discoveries.

On the final day, Christina Brzuska outlined the connections between different types of obfuscation and one-way functions, and explained why some obfuscators were impossible to construct. Michael Zohner spoke about OT extensions, and how they could be used to improve 2-party computation in conjunction with look-up tables. Claudio Orlandi closed the workshop with his talk on Amortised Garbled Circuits, which explained garbling tricks all the way from Yao’s original work up to the state of the art, and provided a fascinating end to the week.

User-centred security awareness empowers employees to be the strongest defense

The release of our business whitepaper “Awareness is only the first step” was recently announced by Hewlett Packard Enterprise (HPE). The whitepaper is co-authored by HPE, UCL, and the UK government’s National Technical Authority for Information Assurance (CESG). The whitepaper emphasises how a user-centred approach to security awareness can empower employees to be the strongest link in defending their organisation. As Andrzej Kawalec, HPE’s Security Services CTO, notes in the press release:

“Users remain the first line of defense when faced with a dynamic and relentless threat environment.”

Security communication, education, and training (CET) in organisations is intended to align employee behaviour with the security goals of the organisation. Security managers conduct regular security awareness activities – familiar vehicles for awareness programmes, such as computer-based training (CBT), can cover topics such as password use, social media practices, and phishing. However, there is limited evidence to support the effectiveness or efficiency of CBT, and a lack of reliable indicators means that it is not clear if recommended security behaviour is followed in practice. If the design and delivery of CET programmes does not consider the individual, they can’t be certain of achieving the intended outcomes. As Angela Sasse comments:

“Many companies think that setting up web-based training packages are a cost-effective way of influencing staff behavior and achieving compliance, but research has provided clear evidence that this is not effective – rather, many staff resent it and suffer from ‘compliance fatigue.’”

HPE awareness maturity curve

The whitepaper describes a path to guide the involvement of employees in their own security, as shown in the HPE awareness maturity curve above. To change security behaviors, a company needs to invest in the security knowledge and skills of its employees, and respond to employee needs differently at each stage.

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Smart contracts beyond the age of innocence

Why have Bitcoin, with its distributed consistent ledger, and now Ethereum with its support for fully fledged “smart contracts,” captured the imagination of so many people, both within and beyond the tech industry? The promise to replace obscure stores of information and arcane contract rules – with their inefficient, ambiguous, and primitive human interpretations – with publicly visible decentralized ledgers reflects the growing technological zeitgeist in their guarantee that all participants would know and be able to foresee the consequences of both their own actions and the actions of all others. The precise specification of contracts as code, with clauses automatically executed depending on certain sets of events and permissible user actions, represents for some a true state of utopia.

Regardless of one’s views on the potential for distributed ledgers, one of the most notable innovations that smart contracts have enabled thus far is the idea of a DAO (Decentralized Autonomous Organization), which is a specific type of investment contract, by which members individually contribute value that then gets collectively invested under some governance model.  In truly transparent fashion, the details of this governance model, including who can vote and how many votes are required for a successful proposal, are all encoded in a smart contract that is published (and thus globally visible) on the distributed ledger.

Today, this vision met a serious stumbling block: a “bug” in the contract of the first majorly successful DAO (which broke records by raising 11 million ether, the equivalent of 150 million USD, in its first two weeks of operation) allowed third parties to start draining its funds, and to eventually make off with 4% of all ether. The immediate response of the Ethereum and DAO community was to suspend activity – seemingly an anathema for a ledger designed to provide high resiliency and availability – and propose two potential solutions: a “soft-fork” that would impose additional rules on miners in order to exclude all future transactions that try to use the stolen ether, or, more drastically (and running directly contrary to the immutability of the ledger),  a “hard-fork” that would roll back the transactions in which the attack took place, in addition to the many legitimate transactions that took place concurrently.  Interestingly, a variant of the bug that enabled the hack was known to and dismissed by the creators of the DAO (and the wider Ethereum community).

While some may be surprised by this series of events, Maurice Wilkes, designer of the EDSAC, one of the first computers, reflected that “[…] the realization came over me with full force that a good part of the remainder of my life was going to be spent in finding errors in my own programs.” It is not the case that because a program is precisely defined it is easy to foresee what it will do once executed on its own under the control of users.  In fact, Rice’s theorem explicitly states that it is not possible in general to show that the result of programs, and thus smart contracts, will have any specific non-trivial property.

This forms the basis on which modern verification techniques operate: they try to define subsets of programs for which it is possible to prove some properties (e.g., through typing), or attempt to prove properties in a post-hoc way (e.g., through verification), but under the understanding that they may fail in general.  There is thus no scientific basis on which one can assert generally that smart contracts can easily provide clarity into and foresight of their consequences.

The unfolding story of the DAO and its consequences for the Ethereum community offers two interesting insights. First, as a sign that the field is maturing, there is an explicit call for understanding the computational space of safe contracts, and contracts with foreseeable consequences. Second, it suggests the need for smart contracts protecting significant assets to include external, possibly social, mechanisms in order to unlock significant value transfers. The willingness of exchanges to suspend trading and of the Ethereum developers to suggest a hard-fork is a last-resort example of such a social mechanism. Thus, politics – the discipline of collective management – reasserts itself as having primacy over human affairs.