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Reverse engineering computer chips just became ridiculously easy

Computer chips are prized assets, but now reverse engineering them and spotting state sponsored built in security "Trojans," are easier than ever before.

Key takeaways

  • Peering inside semiconductor chips using X-Ray imaging isn’t new, but the technique hasn’t been especially good or easy to accomplish.
  • New advances reported by Swiss researchers in Nature recently now suggest that the practical use of X-Rays for fast, accurate, reverse engineering of chips may be near.
  • The diffracted X-rays are measured by a 2D detector, a Pilatus 2M in the present case.
Cite or link to this article

Griffin, M. (2018) 'Reverse engineering computer chips just became ridiculously easy', 311 Institute, 26 June. Available at: https://www.311institute.com/reverse-engineering-computer-chips-ridiculously-easy/ (Accessed: 8 October 2026).

Peering inside semiconductor chips using X-Ray imaging isn’t new, but the technique hasn’t been especially good or easy to accomplish. New advances reported by Swiss researchers in Nature recently now suggest that the practical use of X-Rays for fast, accurate, reverse engineering of chips may be near. And if your chips are your company's IP, like they are Intel's, or if advanced chip designs help prop up your country's economy, like they do in the US, then that's an issue. A big issue.

“You’ll pop in your chip and out comes the schematic. Total transparency in chip manufacturing is on the horizon,” said Anthony Levi of the University of Southern California describing the research in an IEEE Spectrum article, "this is going to force a rethink of what computing is, and what it means for a company to add value in the computing industry."

The work by Mirko Holler, Manuel Guizar-Sicairos, Esther Tsai, Roberto Dinapoli, Elisabeth Müller, Oliver Bunk, Jörg Raabe, who are all from the Paul Scherrer Institut, and Gabriel Aeppli from ETH Zurich, is described in their Nature Letter, “High-resolution non-destructive three-dimensional imaging of integrated circuits.”

“[We] demonstrate that X-ray ptychography – a high-resolution coherent diffractive imaging technique – can create three-dimensional images of integrated circuits of known and unknown designs with a lateral resolution in all directions down to 14.6 nanometres. We obtained detailed device geometries and corresponding elemental maps, and show how the devices are integrated with each other to form the chip,” write the researchers in the abstract.

“Our experiments represent a major advance in chip inspection and reverse engineering over the traditional destructive electron microscopy and ion milling techniques. Foreseeable developments in X-ray sources optics and detectors, as well as adoption of an instrument geometry optimized for planar rather than cylindrical samples, could lead to a thousand-fold increase in efficiency, with concomitant reductions in scan times and voxel sizes.”

Starting with a known structure, an ASIC developed at the institute, and then moving to an Intel chip, the Intel G3260 processor, about which they had limited information, the researchers were able to accurately identify and map components in the chips.

A good summary of the experiment is provided in the IEEE Spectrum article:

reverse engineering

“The ASIC was produced using 110-nanometer chip manufacturing technology, more than a decade from being cutting edge. But the Intel chip was just a couple of generations behind the state of the art: It was produced using the company’s 22-nm process… To produce a 3D rendering of the Intel chip, an Intel G3260 processor, the team shined an X-Ray beam through a portion of the chip. The various circuit components - its copper wires and silicon transistors, for example - scatter the light in different ways and cause constructive and destructive interference. Through a technique called X-ray ptychography, the researchers could point the beam at their sample from a number of different angles and use the resulting diffraction patterns to reconstruct chip’s internal structure.”

The experiment was carried out at the cSAXS beamline of the Swiss Light Source (SLS) at the Paul Scherrer Institut, Villigen, Switzerland. Details of the components are as follows. Coherent X-Rays enter the instrument and pass optical elements that in their combination form an X-Ray lens used to generate a defined illumination of the sample. These elements are a gold central stop, a Fresnel zone plate and an order sorting aperture. The diffracted X-rays are measured by a 2D detector, a Pilatus 2M in the present case. Accurate sample positioning is essential in a scanning microscopy technique and is achieved by horizontal and vertical interferometers.

As the IEEE Spectrum article notes, “Even if this approach isn’t widely adopted to tear down competitors’ chips, it could find a use in other applications. One of those is verifying that a chip only has the features it is intended to have, and that a “hardware Trojan,” added circuitry that could be used for malicious purposes, hasn’t been introduced.”

FAQ

Why does this matter?

Computer chips are prized assets, but now reverse engineering them and spotting state sponsored built in security "Trojans," are easier than ever before.

Matthew Griffin

About the author

Matthew Griffin Founder, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

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Sources and further reading

  1. Anthony viterbi.usc.edu
  2. IEEE Spectrum article spectrum.ieee.org
  3. Paul Scherrer Institut psi.ch
  4. High-resolution non-destructive three-dimensional imaging of integrated circuits nature.com
  5. Ptychography en.wikipedia.org
  6. Intel Pentium Processor G3260 3M Cache 3 30 GHz ark.intel.com
  7. Csaxs psi.ch
  8. Swiss Light Source psi.ch
  9. Stopping hardware trojans in their tracks spectrum.ieee.org

Source: first published by the 311 Institute on 26 June 2018. Cite as: Griffin, M. (2018). Reverse engineering computer chips just became ridiculously easy. 311 Institute. https://www.311institute.com/reverse-engineering-computer-chips-ridiculously-easy/

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