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Certifiably random: Swiss researchers claim perfect random number source

Researchers in Switzerland claim to have built a perfect random number generator from two quantum superconducting chips, a 30-meter-long pipe, and some software. The resulting device could be used to generate cryptographic keys, or to offer a “public randomness service” for lotteries or blockchain applications, they say.

They’re not the first to make the claim.

Many sources of randomness are biased. For example, coins or dice tend to favor one side. “Even modern random number generators, which are based on quantum mechanical effects like the reflection of photons from beam splitters, are not entirely immune to such a systematic error or ‘bias’,” said Andreas Wallraff, one of the leaders of the research team at ETH Zurich.

Similar biases can be found in purely software-based pseudo-random number generators. This has led to security problems in IoT devices and WhatsApp, among other applications.

To get around that, the researchers set up of two supercomputing chips, each representing one qubit, cooled to near absolute zero. The chips are connected by a 30-meter-long microwave guide, similarly cooled, and the microwave photons flying between them create a situation of quantum entanglement.

The results produced by this process are then transformed via a special algorithm to generate perfect randomness. “The resulting sequence of zeros and ones is now really perfectly random, and we can even certify that,” said Renato Renner, the other team leader. “The technical improvements allowed us to create random numbers that will remain perfectly random for all eternity.”

The team published their results this week in an article entitled “Experimental randomness amplification” in Nature.

This article first appeared on CSO.

Texas AG sues Meta over claims that WhatsApp doesn't provide end-to-end encryption

22 May 2026 at 19:13

The Texas Attorney General has sued Meta over allegations that the company’s WhatsApp messenger, used by more than 3 billion people, doesn’t provide the end-to-end encryption (E2EE) it has long claimed.

Since at least 2016, Meta (then named Facebook) has said WhatsApp provides robust end-to-end encryption, meaning that messages are encrypted on a sender’s device with keys that are available only to the receiver's. By definition, E2EE means that no one else—including the platform itself—can read the plaintext messages.

In sworn testimony before two US Senate committees in 2018, CEO Mark Zuckerberg said Meta does “not see any of the content in WhatsApp; it is fully encrypted” and that “Facebook systems do not see the content of messages being transferred over WhatsApp.” The engine for this E2EE is the Signal protocol, an open source code base that multiple third-party experts have said lives up to its promises.

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Zero-day exploit completely defeats default Windows 11 BitLocker protections

14 May 2026 at 19:32

A zero-day exploit circulating online allows people with physical access to a Windows 11 system to bypass default BitLocker protections and gain complete access to an encrypted drive within seconds.

The exploit, named YellowKey, was published earlier this week by a researcher who goes by the alias Nightmare-Eclipse. It reliably bypasses default Windows 11 deployments of BitLocker, the full-volume encryption protection Microsoft provides to make disk contents off-limits to anyone without the decryption key, which is stored in a secured piece of hardware known as a trusted platform module (TPM). BitLocker is a mandatory protection for many organizations, including those that contract with governments.

When one disk volume manipulates another

The core of the YellowKey exploit is a custom-made FsTx folder. Online documentation of this folder is hard to find. As explained later, the directory associated with the file fstx.dll appears to involve what Microsoft calls the transactional NTFS, which allows developers to have “transactional atomicity" for file operations in transactions with a single file, multiple files, or ones that span multiple sources.

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