There is a really great series of online events highlighting cool uses of AI in cybersecurity, titled Prompt||GTFO. Videos from the first three events are online. And here’s where to register to attend, or participate, in the fourth.

Some really great stuff here.

The NSA and GCHQ have jointly published a history of World War II SIGINT: “Secret Messengers: Disseminating SIGINT in the Second World War.” This is the story of the British SLUs (Special Liaison Units) and the American SSOs (Special Security Officers).

A few years ago, scammers invented a new phishing email. They would claim to have hacked your computer, turned your webcam on, and videoed you watching porn or having sex. BuzzFeed has an article talking about a “shockingly realistic” variant, which includes photos of you and your house—more specific information.

The article contains “steps you can take to figure out if it’s a scam,” but omits the first and most fundamental piece of advice: If the hacker had incriminating video about you, they would show you a clip. Just a taste, not the worst bits so you had to worry about how bad it could be, but something. If the hacker doesn’t show you any video, they don’t have any video. Everything else is window dressing...

Fears around children is opening up a new market for automatic license place readers.

In a rare squid/security combined post, a new vulnerability was discovered in the Squid HTTP proxy server.

Google’s vulnerability finding team is again pushing the envelope of responsible disclosure:

Google’s Project Zero team will retain its existing 90+30 policy regarding vulnerability disclosures, in which it provides vendors with 90 days before full disclosure takes place, with a 30-day period allowed for patch adoption if the bug is fixed before the deadline.

However, as of July 29, Project Zero will also release limited details about any discovery they make within one week of vendor disclosure. This information will encompass:

• The vendor or open-source project that received the report ...

The government of China has accused Nvidia of inserting a backdoor into their H20 chips:

China’s cyber regulator on Thursday said it had held a meeting with Nvidia over what it called “serious security issues” with the company’s artificial intelligence chips. It said US AI experts had “revealed that Nvidia’s computing chips have location tracking and can remotely shut down the technology.”

Earlier this week, the Trump administration narrowed export controls on advanced semiconductors ahead of US-China trade negotiations. The administration is increasingly relying on export licenses to allow American semiconductor firms to sell their products to Chinese customers, while keeping the most powerful of them out of the hands of our military adversaries. These are the chips that power the artificial intelligence research fueling China’s technological rise, as well as the advanced military equipment underpinning Russia’s invasion of Ukraine...

Skechers is making a line of kid’s shoes with a hidden compartment for an AirTag.

An Arizona woman was sentenced to eight-and-a-half years in prison for her role helping North Korean workers infiltrate US companies by pretending to be US workers.

From an article:

According to court documents, Chapman hosted the North Korean IT workers’ computers in her own home between October 2020 and October 2023, creating a so-called “laptop farm” which was used to make it appear as though the devices were located in the United States.

The North Koreans were hired as remote software and application developers with multiple Fortune 500 companies, including an aerospace and defense company, a major television network, a Silicon Valley technology company, and a high-profile company...

What scientists thought were squid fossils were actually arrow worms.

Airportr is a service that allows passengers to have their luggage picked up, checked, and delivered to their destinations. As you might expect, it’s used by wealthy or important people. So if the company’s website is insecure, you’d be able to spy on lots of wealthy or important people. And maybe even steal their luggage.

Researchers at the firm CyberX9 found that simple bugs in Airportr’s website allowed them to access virtually all of those users’ personal information, including travel plans, or even gain administrator privileges that would have allowed a hacker to redirect or steal luggage in transit. Among even the small sample of user data that the researchers reviewed and shared with WIRED they found what appear to be the personal information and travel records of multiple government officials and diplomats from the UK, Switzerland, and the US...

Peter Gutmann and Stephan Neuhaus have a new paper—I think it’s new, even though it has a March 2025 date—that makes the argument that we shouldn’t trust any of the quantum factorization benchmarks, because everyone has been cooking the books:

Similarly, quantum factorisation is performed using sleight-of-hand numbers that have been selected to make them very easy to factorise using a physics experiment and, by extension, a VIC-20, an abacus, and a dog. A standard technique is to ensure that the factors differ by only a few bits that can then be found using a simple search-based approach that has nothing to do with factorisation…. Note that such a value would never be encountered in the real world since the RSA key generation process typically requires that |p-q| > 100 or more bits [9]. As one analysis puts it, “Instead of waiting for the hardware to improve by yet further orders of magnitude, researchers began inventing better and better tricks for factoring numbers by exploiting their hidden structure” [10]...

“Who’s winning on the internet, the attackers or the defenders?”

I’m asked this all the time, and I can only ever give a qualitative hand-wavy answer. But Jason Healey and Tarang Jain’s latest Lawfare piece has amassed data.

The essay provides the first framework for metrics about how we are all doing collectively—and not just how an individual network is doing. Healey wrote to me in email:

The work rests on three key insights: (1) defenders need a framework (based in threat, vulnerability, and consequence) to categorize the flood of potentially relevant security metrics; (2) trends are what matter, not specifics; and (3) to start, we should avoid getting bogged down in collecting data and just use what’s already being reported by amazing teams at Verizon, Cyentia, Mandiant, IBM, FBI, and so many others...

Looks serious.

Bluesky thread. Here’s the paper, from 1957. Note reference 3.

Chinese hackers are exploiting a high-severity vulnerability in Microsoft SharePoint to steal data worldwide:

The vulnerability, tracked as CVE-2025-53770, carries a severity rating of 9.8 out of a possible 10. It gives unauthenticated remote access to SharePoint Servers exposed to the Internet. Starting Friday, researchers began warning of active exploitation of the vulnerability, which affects SharePoint Servers that infrastructure customers run in-house. Microsoft’s cloud-hosted SharePoint Online and Microsoft 365 are not affected.

Here’s...

Yet another SQUID acronym: “Stable Quasi-Isodynamic Design.” It’s a stellarator for a fusion nuclear power plant.

Today’s freaky LLM behavior:

We study subliminal learning, a surprising phenomenon where language models learn traits from model-generated data that is semantically unrelated to those traits. For example, a “student” model learns to prefer owls when trained on sequences of numbers generated by a “teacher” model that prefers owls. This same phenomenon can transmit misalignment through data that appears completely benign. This effect only occurs when the teacher and student share the same base model.

Interesting security implications.

I am more convinced than ever that we need serious research into ...

The current state of digital identity is a mess. Your personal information is scattered across hundreds of locations: social media companies, IoT companies, government agencies, websites you have accounts on, and data brokers you’ve never heard of. These entities collect, store, and trade your data, often without your knowledge or consent. It’s both redundant and inconsistent. You have hundreds, maybe thousands, of fragmented digital profiles that often contain contradictory or logically impossible information. Each serves its own purpose, yet there is no central override and control to serve you—as the identity owner...