I can offer a 3.5-year PhD studentship on radio-frequency side-channel security, starting in October 2019, to applicants interested in hardware security, radio communication, and digital signal processing. Due to the funding source, this studentship is restricted to UK nationals, or applicants who have been resident in the UK for the past 10 years. Contact me for details.
In previous work we have shown how stolen bitcoins can be traced if we simply apply existing law. If bitcoins are “mixed”, that is to say if multiple actors pool together their coins in one transaction to obfuscate which coins belong to whom, then the precedent in Clayton’s Case says that FIFO ordering must be used to track which fragments of coin are tainted. If the first input satoshi (atomic unit of Bitcoin) was stolen then the first output satoshi should be marked stolen, and so on.
This led us to design Taintchain, a system for tracing stolen coins through the Bitcoin network. However, we quickly discovered a problem: while it was now possible to trace coins, it was harder to spot patterns. A decent way of visualizing the data is important to make sense of the patterns of splits and joins that are used to obfuscate bitcoin transactions. We therefore designed a visualization tool that interactively expands the taint graph based on user input. We first came up with a way to represent transactions and their associated taints in a temporal graph. After realizing the sheer number of hops that some satoshis go through and the high outdegree of some transactions, we came up with a way to do graph generation on-the-fly while assuming some restrictions on maximum hop length and outdegree.
Using this tool, we were able to spot many of the common tricks used by bitcoin launderers. A summary of our findings can be found in the short paper here.
As recently posted, we currently advertising a post (details here) where “we expect that the best candidate will be someone from a sociology or criminology background who already has some experience analysing large datasets relating to cybercrime” — and now we have a second post for someone with a more technical background.
We seek an enthusiastic researcher to join us in collecting new types of cybercrime data, maintaining existing datasets and doing innovative research using our data. The person we appoint will define their own goals and objectives and pursue them independently, or as part of a team.
An ideal candidate would identify cybercrime datasets that can be collected, build the collection systems and then do cutting edge research on this data – whilst encouraging other academics to take our data and make their own contributions to the field.
We are not necessarily looking for existing experience in researching cybercrime, although this would be a bonus as would a solid technical background in networking and/or malware analysis. We do seek a candidate with strong programming skills — and experience with scripting languages and databases would be much preferred. Good knowledge of English and communication skills are important.
Details of this second post, and what we’re looking for are in the job advert here: http://www.jobs.cam.ac.uk/job/19543/.
We have a further “post-doc” position in the Cambridge Cybercrime Centre: https://www.cambridgecybercrime.uk.
We are looking for an enthusiastic researcher to join us to work on our datasets of posts made in “underground forums”. In addition to pursuing their own research interests regarding cybercrime, they will help us achieve a better understanding of the research opportunities that these datasets open up. In particular, we want to focus on establishing what types of tools and techniques will assist researchers (particularly those without a computer science background) to extract value from these enormous sets (10’s of millions of posts) of data. We will also be looking to extend our collection and need help to understand the most useful way to proceed.
We have an open mind as to who we might appoint, but expect that the best candidate will be someone from a sociology or criminology background who already has some experience analysing large datasets relating to cybercrime. The appointee should be looking to develop their own research, but also be prepared to influence how cybercrime research by non-technical researchers can be enabled by effective use of the extremely large datasets that we are making available.
Details of the posts, and what we’re looking for are in the job advert here: http://www.jobs.cam.ac.uk/job/19318/.
I am at the 2018 Open Source Summit Europe in Edinburgh where I’ll be speaking about Hyperledger projects. In follow-ups to this post, I’ll live-blog security related talks and workshops.
The first workshop of the summit I attended was a crash course introduction to EdgeX Foundry by Jim White, the organization’s chief architect. EdgeX Foundry is an open source, vendor neutral software framework for IoT edge computing. One of the primary challenges that it faces is the sheer number of protocols and standards that need to be supported in the IoT space, both on the south side (various sensors and actuators) as well as the north side (cloud providers, on-premise servers). To do this, EdgeX uses a microservices based architecture where all components interact via configurable APIs and developers can choose to customize any component. While this architecture does help to alleviate the scaling issue, it raises interesting questions with respect to API security and device management. How do we ensure the integrity of the control and command modules when those modules themselves are federated across multiple third-party-contributed microservices? The team at EdgeX is aware of these issues and is a major theme of focus for their upcoming releases.
I am at the Symposium on Post-Bitcoin Cryptocurrencies in Vienna and will try to liveblog the talks in follow-ups to this post.
The introduction was by Bernhard Haslhofer of AIT, who maintains the graphsense.info toolkit and runs the Titanium project on bitcoin forensics jointly with Rainer Boehme of Innsbruck. Rainer then presented an economic analysis arguing that criminal transactions were pretty well the only logical app for bitcoin as it’s permissionless and trustless; if you have access to the courts then there are better ways of doing things. However in the post-bitcoin world of ICOs and smart contracts, it’s not just the anti-money-laundering agencies who need to understand cryptocurrency but the securities regulators and the tax collectors. Yet there is a real policy tension. Governments hype blockchains; Austria uses them to auction sovereign bonds. Yet the only way in for the citizen is through the swamp. How can the swamp be drained?
As mobile phone masts went up across the world’s jungles, savannas and mountains, so did poaching. Wildlife crime syndicates can not only coordinate better but can mine growing public data sets, often of geotagged images. Privacy matters for tigers, for snow leopards, for elephants and rhinos – and even for tortoises and sharks. Animal data protection laws, where they exist at all, are oblivious to these new threats, and no-one seems to have started to think seriously about information security.
So we have been doing some work on this, and presented some initial ideas via an invited talk at Usenix Security in August. A video of the talk is now online.
The most serious poaching threats involve insiders: game guards who go over to the dark side, corrupt officials, and (now) the compromise of data and tools assembled for scientific and conservation purposes. Aggregation of data makes things worse; I might not care too much about a single geotagged photo, but a corpus of thousands of such photos tells a poacher where to set his traps. Cool new AI tools for recognising individual animals can make his work even easier. So people developing systems to help in the conservation mission need to start paying attention to computer security. Compartmentation is necessary, but there are hundreds of conservancies and game reserves, many of which are mutually mistrustful; there is no central authority at Fort Meade to manage classifications and clearances. Data sharing is haphazard and poorly understood, and the limits of open data are only now starting to be recognised. What sort of policies do we need to support, and what sort of tools do we need to create?
This is joint work with Tanya Berger-Wolf of Wildbook, one of the wildlife data aggregation sites, which is currently redeveloping its core systems to incorporate and test the ideas we describe. We are also working to spread the word to both conservators and online service firms.
There has been a lot of ‘fog of war’ regarding the alleged implantation of Trojan hardware into Supermicro servers at manufacturing time. Other analyses have cast doubt on the story. But do all the pieces pass the sniff test?
In brief, the allegation is that an implant was added at manufacturing time, attached to the Baseboard Management Controller (BMC). When a desktop computer has a problem, common approaches are to reboot it or to reinstall the operating system. However in a datacenter it isn’t possible to physically walk up to the machine to do these things, so the BMC allows administrators to do them over the network.
Crucially, because the BMC has the ability to install the operating system, it can disrupt the process that boots the operating system – and fetch potentially malicious implant code, maybe even over the Internet.
The Bloomberg Businessweek reports are low on technical details, but they do show two interesting things. The first is a picture of the alleged implant. This shows a 6-pin silicon chip inside a roughly 1mm x 2mm ceramic package – as often used for capacitors and other so-called ‘passive’ components, which are typically overlooked.
The other is an animation highlighting this implant chip on a motherboard. Extracting the images from this animation shows the base image is of a Supermicro B1DRi board. As others have noted, this is mounted in a spare footprint between the BMC chip and a Serial-Peripheral Interface (SPI) flash chip that likely contains the BMC’s firmware. Perhaps the animation is an artist’s concept only, but this is just the right place to compromise the BMC.
SPI is a popular format for firmware flash memories – it’s a relatively simple, relatively slow interface, using only four signal wires. Quad SPI (QSPI), a faster version, uses six wires for faster transmission. The Supermicro board here appears to have a QSPI chip, but also a space for an SPI chip as a manufacturing-time option. The alleged implant is mounted in part of the space where the SPI chip would go. Limited interception or modification of SPI communication is something that a medium complexity digital chip (a basic custom chip, or an off-the-shelf programmable CPLD) could do – but not to a great extent. Six pins is enough to intercept the four SPI wires, plus two power. The packaging of this implant would, however, be completely custom.
What can an implant attached to the SPI wires do? The BMC itself is a computer, running an operating system which is stored in the SPI flash chip. The manual for a MBI-6128R-T2 server containing the B1DRi shows it has an AST2400 BMC chip.
The AST2400 uses a relatively old technology – a single-core 400MHz ARM9 CPU, broadly equivalent to a cellphone from the mid 2000s. Its firmware can come via SPI.
I downloaded the B1DRi BMC firmware from the Supermicro website and did some preliminary disassembly. The AST2400 in this firmware appears to run Linux, which is plausible given it supports complicated peripherals such as PCI Express graphics and USB. (It is not news to many of us working in this field that every system already has a Linux operating system running on an ARM CPU, before power is even applied to the main Intel CPUs — but many others may find this surprising).
It is possible that the implant simply replaces the entire BMC firmware, but there is another way.
In order to start its own Linux, AST2400 boots using the U-Boot bootloader. I noticed one of the options is for the AST2400 to pick up its Linux OS over the network (via TFTP or NFS). If (and it’s a substantial if) this is enabled in the AST2400 bootloader, it would not take a huge amount of modification to the SPI contents to divert the boot path so that the BMC fetched its firmware over the network (and potentially the Internet, subject to outbound firewalls).
Once the BMC operating system is compromised, it can then tamper with the main operating system. An obvious path would be to insert malicious code at boot time, via PCI Option ROMs. However, after such vulnerabilities came to light, defenses have been increased in this area.
But there’s another trick a bad BMC can do — it can simply read and write main memory once the machine is booted. The BMC is well-placed to do this, sitting on the PCI Express interconnect since it implements a basic graphics card. This means it potentially has access to large parts of system memory, and so all the data that might be stored on the server. Since the BMC also has access to the network, it’s feasible to exfiltrate that data over the Internet.
So this raises a critical question: how well is the BMC firmware defended? The BMC firmware download contains raw ARM code, and is exactly 32MiB in size. 32MiB is a common size of an SPI flash chip, and suggests this firmware image is written directly to the SPI flash at manufacture without further processing. Additionally, there’s the OpenBMC open source project which supports the AST2400. From what I can find, installing OpenBMC on the AST2400 does not require any code signing or validation process, and so modifying the firmware (for good or ill) looks quite feasible.
Where does this leave us? There are few facts, and much supposition. However, the following scenario does seem to make sense. Let’s assume an implant was added to the motherboard at manufacture time. This needed modification of both the board design, and the robotic component installation process. It intercepts the SPI lines between the flash and the BMC controller. Unless the implant was designed with a very high technology, it may be enough to simply divert the boot process to fetch firmware over the network (either the Internet or a compromised server in the organisation), and all the complex attacks build from there — possibly using PCI Express and/or the BMC for exfiltration.
If the implant is less sophisticated than others have assumed, it may be feasible to block it by firewalling traffic from the BMC — but I can’t see many current owners of such a board wanting to take that risk.
So, finally, what do we learn? In essence, this story seems to pass the sniff test. But it is likely news to many people that their systems are a lot more complex than they thought, and in that complexity can lurk surprising vulnerabilities.
Dr A. Theodore Markettos is a Senior Research Associate in hardware and platform security at the University of Cambridge, Department of Computer Science and Technology.
Over the last thirty years or so, we’ve seen security protocols evolving in different ways, at different speeds, and at different levels in the stack. Today’s TLS is much more complex than the early SSL of the mid-1990s; the EMV card-payment protocols we now use at ATMs are much more complex than the ISO 8583 protocols used in the eighties when ATM networking was being developed; and there are similar stories for GSM/3g/4g, SSH and much else.
How do we make sense of all this?
Reconciling Multiple Objectives – Politics or Markets? was particularly inspired by Jan Groenewegen’s model of innovation according to which the rate of change depends on the granularity of change. Can a new protocol be adopted by individuals, or does it need companies to adopt it en masse for internal use, or does it need to spread through a whole ecosystem, or – the hardest case of all – does it require a change in culture, norms or values?
Security engineers tend to neglect such “soft” aspects of engineering, and we probably shouldn’t. So we sketch a model of the innovation stack for security and draw a few lessons.
Perhaps the most overlooked need in security engineering, particularly in the early stages of a system’s evolution, is recourse. Just as early ATM and point-of-sale system operators often turned away fraud victims claiming “Our systems are secure so it must have been your fault”, so nowadays people who suffer abuse on social media can find that there’s nowhere to turn. A prudent engineer should anticipate disputes, and give some thought in advance to how they should be resolved.
Reconciling Multiple Objectives appeared at Security Protocols 2017. I forgot to put the accepted version online and in the repository after the proceedings were published in late 2017. Sorry about that. Fortunately the REF rule that papers must be made open access within three months doesn’t apply to conference proceedings that are a book series; it may be of value to others to know this!
Together with Ronald Poppe, Paul Taylor, and Gordon Wright, Sophie van der Zee (previously employed at the Cambridge Computer Laboratory), took a plunge and tested their automated lie detection methods in the real world. How well do the lie detection methods that we develop and test under very controlled circumstances in the lab, perform in the real world? And what happens to you and your social environment when you constantly feel monitored and attempt to live a truthful life? Is living a truthful life actually something we should desire? Continue reading BBC Horizon documentary: A Week without lying, the honesty experiment