This clever attack allows someone to uniquely identify a phone when you visit a website, based on data from the accelerometer, gyroscope, and magnetometer sensors.
We have developed a new type of fingerprinting attack, the calibration fingerprinting attack. Our attack uses data gathered from the accelerometer, gyroscope and magnetometer sensors found in smartphones to construct a globally unique fingerprint. Overall, our attack has the following advantages:
- The attack can be launched by any website you visit or any app you use on a vulnerable device without requiring any explicit confirmation or consent from you.
- The attack takes less than one second to generate a fingerprint.
- The attack can generate a globally unique fingerprint for iOS devices.
- The calibration fingerprint never changes, even after a factory reset.
- The attack provides an effective means to track you as you browse across the web and move between apps on your phone.
* Following our disclosure, Apple has patched this vulnerability in iOS 12.2.
This law review article by Noam Kolt, titled "Return on Data," proposes an interesting new way of thinking of privacy law.
Abstract: Consumers routinely supply personal data to technology companies in exchange for services. Yet, the relationship between the utility (U) consumers gain and the data (D) they supply -- "return on data" (ROD) -- remains largely unexplored. Expressed as a ratio, ROD = U / D. While lawmakers strongly advocate protecting consumer privacy, they tend to overlook ROD. Are the benefits of the services enjoyed by consumers, such as social networking and predictive search, commensurate with the value of the data extracted from them? How can consumers compare competing data-for-services deals? Currently, the legal frameworks regulating these transactions, including privacy law, aim primarily to protect personal data. They treat data protection as a standalone issue, distinct from the benefits which consumers receive. This article suggests that privacy concerns should not be viewed in isolation, but as part of ROD. Just as companies can quantify return on investment (ROI) to optimize investment decisions, consumers should be able to assess ROD in order to better spend and invest personal data. Making data-for-services transactions more transparent will enable consumers to evaluate the merits of these deals, negotiate their terms and make more informed decisions. Pivoting from the privacy paradigm to ROD will both incentivize data-driven service providers to offer consumers higher ROD, as well as create opportunities for new market entrants.
A weird paper was posted on the Cryptology ePrint Archive (working link is via the Wayback Machine), claiming an attack against the NSA-designed cipher SIMON. You can read some commentary about it here. Basically, the authors claimed an attack so devastating that they would only publish a zero-knowledge proof of their attack. Which they didn't. Nor did they publish anything else of interest, near as I can tell.
The paper has since been deleted from the ePrint Archive, which feels like the correct decision on someone's part.
A pair of Russia-designed cryptographic algorithms -- the Kuznyechik block cipher and the Streebog hash function -- have the same flawed S-box that is almost certainly an intentional backdoor. It's just not the kind of mistake you make by accident, not in 2014.