标签：#zed

Researchers are using machine learning algorithms to decrypt historical pencil-and-paper ciphers.

As part of their 20th Anniversary celebration, Dark Reading asked five cybersecurity industry leaders who wrote blogs or columns for them over the years to select their favorite piece and share their reflections on the topic today. This is my section. Renowned technologist and author Bruce Schneier contributed a column on June 20, 2010, warning about cryptography’s inability to secure modern networks , a point he says he has been trying to argue since 2000. “For a while now, I’ve pointed out that cryptography is singularly ill-suited to solve the major network security problems of today: denial-of-service attacks, website defacement, theft of credit card numbers, identity theft, viruses and worms, DNS attacks, network penetration, and so on...

An anonymous security researcher called “Nightmare Eclipse” has been publishing a series of significant security exploits against Microsoft Windows—including one that breaks BitLocker. Microsoft has threatened legal action against the researcher. Lots of recriminations are being traded back and forth.

New article: “ Responsible Disclosure in the Age of AI: A Call for Urgent Action ,” by Melissa Hathaway. Abstract: Artificial intelligence is fundamentally reshaping the balance between vulnerability discovery and remediation. Frontier AI models are now capable of autonomously identifying exploitable software vulnerabilities at unprecedented speed and scale. This development exposes decades of accumulated technical debt created by a software industry that prioritized rapid deployment over secure-by-design engineering practices. Drawing on the evolution of software assurance, vulnerability disclosure frameworks, and U.S. cyber policy, this perspective argues that the current moment represents a strategic inflection point for governments, industry, and critical infrastructure operators. The author examines the growing tension between offensive and defensive equities in cyberspace, the emergence of AI-enabled vulnerability discovery capabilities in both the U.S. and China, and the increasing risks posed by unsupported legacy systems and AI-assisted code generation practices. Responsible disclosure can no longer remain a reactive or fragmented process, but must become a coordinated national and international resilience effort involving governments, software vendors, infrastructure operators, and emergency response organizations. The article concludes with an urgent call for accelerated remediation, large-scale patch management coordination, and sustained investment in automated vulnerability repair capabilities before adversaries exploit this rapidly narrowing window of opportunity...

Someone named “Squid” seems to be a “ West Country legend .” As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered. Blog moderation policy.

Younger Americans have soured on the second Donald Trump presidency , but they are not protesting it. Despite an unpopular Iran war and an even more unpopular Trump administration , college campus protests nationwide have gone silent . And at many schools, student activism is virtually nonexistent . This silence comes in the wake of a relentless Trump administration war on campus speech that has involved lawsuits , arrests , deportations and expulsions . Reports cite a range of complicated factors for the restraint, from apathy to technology-induced incapacity. But as ...

Someone asked us a sharp question on X this week. Tokenized stocks will drop dividends straight on-chain, so do we see any downsides? It's a fair question, and the honest answer is yes, one big one. The downside isn't the dividend itself. Instant, programmatic, no broker statement to wait for: that part is genuinely good. The downside is that you can't see it. On-chain dividends for tokenized equities are silent. They arrive without a transaction, without a notification, without anything landing in your wallet history. And a payment you never see is a payment you never declare. That's not a tracking annoyance. It's a tax problem, and it gets expensive. The dividend that never sent a transaction Backed Finance's xStocks (the Xs-prefixed mints like AAPLx, TSLAx, NVDAx) and Ondo Global Markets equities (the ondo-suffixed mints) both use the SPL Token-2022 ScaledUiAmount extension. It's an elegant piece of engineering. When the underlying stock pays a dividend, the issuer doesn't airdrop tokens to thousands of wallets. It updates a single number, a multiplier, on the mint account itself. The instant that multiplier changes, every wallet holding the token shows a larger balance. Your 10 shares are now worth the equivalent of 10 shares plus the reinvested dividend. No transfer hit your wallet. No transaction was signed. Nothing appeared in your activity feed. The number simply went up. Compare that with a traditional brokerage. When Apple pays a dividend, you get a line on a statement, an email, a figure on a 1099 or an annual tax summary. The paperwork chases you. On-chain, nothing chases you. The dividend is real, it's yours, and the only evidence it happened is a multiplier value buried in an on-chain mint account that almost nobody thinks to read. Why a number going up is a taxable event Here's the part that catches people. Dividend income is ordinary income. It's taxable in the year you receive it, at your marginal rate, in every jurisdiction we serve: Australia, the

The 2025 Internet Crime Report was published a few weeks ago, but I only just saw it. Lots of interesting statistics. Press release . News articles .

Not identifying people based on their use of Wi-Fi routers, but identifying people using Wi-Fi signals . This is accomplished through what is known as WiFi sensing , or the use of WiFi signals to infer information about a physical environment. When radio signals like WiFi travel through a space, they interact with the objects and people around them. Those signals can be reflected, scattered, or absorbed. By analyzing how the signal is expected to behave compared with how it is actually received, researchers can infer details about the surrounding environment...

The South Pacific Regional Fisheries Management Organization (SPRFMO) needs to regulate squid fishing in the South Pacific. As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered. Blog moderation policy.

Crazy story : Until this past weekend, a contractor for the Cybersecurity & Infrastructure Security Agency (CISA) maintained a public GitHub repository that exposed credentials to several highly privileged AWS GovCloud accounts and a large number of internal CISA systems. Security experts said the public archive included files detailing how CISA builds, tests and deploys software internally, and that it represents one of the most egregious government data leaks in recent history. News article .

A group used Anthropic’s Mythos AI model to help find a kernel memory corruption vulnerability and exploit on Apple’s M5. News article .

Good report : Executive Summary: Let’s say you wanted to make sure that your AI is secure. Can you just maximize the security and privacy benchmark and call it a day? Nope, because benchmarks don’t actually work for measuring AI capabilities (even when they are NOT emergent systemic properties like security). So let’s take a step back: how do you measure security in the first place? Good question. Over the last 30 years, security engineering for software evolved from black box penetration testing, through whitebox code analysis and architectural risk analysis to de facto process-driven standards like the Building Security In Maturity Model (BSIMM). Software had a very deep impact on business operations, and it appears that AI is going to have an even deeper impact. Will a software security-like measurement move work for AI? Probably. In the meantime we can make real progress in AI security by cleaning up our WHAT piles and managing risk by identifying and applying good assurance processes. (Spoiler alert: no matter what we do, we still don’t get a security meter for AI, so we need to be extra vigilant about security.)...

Not by name, but Laurie Anderson quotes me in one of the tracks of her new album: My favorite quote is from a cryptologist who said “If you think technology will solve your problems, you don’t understand technology and you don’t understand your problems.” Also in interviews : “Of course, it’s ridiculous, outrageous, blah, blah, blah,” Anderson says about the ad. ‘But, I mean, my favorite quote on this is from a cryptologist who said, ‘If you think technology will solve your problems, you don’t understand technology ­ and you don’t understand your problems.’ And I think I’m completely on board with that.”...

It’s nasty , but it requires physical access to the computer: 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...

Article about the bigfin squid. As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered. Blog moderation policy.

Some AI-based video age-verification checks can be fooled with a fake mustache .