New variant of an old scam: Use the framing of a CAPTCHA to get an unsuspecting user to download and run a malicious program.

This essay was written with Cindy Cohn, and originally appeared in Lawfare. One of the many legacies of the terrorist attacks of Sept. 11 is the government-wide shift from targeted surveillance—such as individual wiretaps or pen register/trap and trace orders—to mass surveillance techniques—such as tapping into the internet backbone or mass collection of telephone or internet metadata. The legal and technical architecture of modern mass surveillance, initially framed as a necessary defense against terrorist threats, has grown far beyond that justification and national security in general.

Really interesting story about Harvest, a specialized code breaking computer built in the 1960s by IBM for the NSA.

This is a current list of where and when I am scheduled to speak: I’m speaking online (via Zoom) at a League of Women Voters event on Tuesday, September 22, 2026 at 5 PM ET. I’m speaking at CanSecWest 2026 in Vancouver, Canada. The conference runs September 30–October 1, 2026; the time of my talk is TBD. I’m giving a talk on “

Last week, Anthropic released a long and detailed document describing current misuses of their Claude models. I'm still reading it, but I wanted to flag this: We identified a cell of threat actors based in northern Yemen running three weapons development programs: a guided rocket that used a commodity phone-class flight computer with final-phase homing guidance; a multi-stage ballistic missile with a stated range goal above 2,000 km; and a multi-variant missile (referred to as the "R2000" set) that included a hypersonic glide vehicle variant.

Once a month, Microsoft pushes a security update to all Windows users. Tomorrow's is a new record: Microsoft's patch for September is a doozy, with a record number of roughly 972 vulnerabilities fixed and 112 of them meeting the high critical-severity threshold. It was only two months ago that Microsoft patched a then-record 570 vulnerabilities. Then, last month, Microsoft patched some 620 of them.

NOTE: I'm teaching at the University of Toronto this school year, and will sign and ship books when I visit the US. Expect considerable delays. Copies will be signed by me only, not by Nathan Sanders.

Smells awful: But an estimated 30 to 50 tons of dead squid remain inside the boat's catch tank, where they have been decomposing for days. "That is nasty. I wouldn't want to do that," said commercial fisherman Dick Ogg of the Bodega Bay Fishermen's Marketing Association. Ogg said anyone familiar with the fishing industry understands what happens when a large catch sits for an extended period.

Last month, I gave a talk at DEF CON on AI hacking: what happens when AIs become hackers. It's a combination of the potentialities I raised in my 2022 book A Hacker's Mind and the lessons we're learning from current AI models engaging in hacking behavior. I'm really proud of the talk, and the fact that it gained over 100K views on YouTube in just a few days. Also online is an interview with me in the AI Village.

In August, Cliff Stoll gave a talk at DEF CON, remembering the wily hacker he stalked forty years ago. Great fun.

Give an AI agent a mere rumor of an exploit, and it's enough for them to find it. What's worse, I found I could use my own agents to find the exploit just by knowing roughly what it was about and so could have been exploiting it well before the public patch was available! Given that just the rumour of a security issue seems enough to give attackers enough info to find new exploits, we're going to need to change the way we deal with security responses in open source.

A database of 153 million drivers licenses is for sale on the dark web. Brian Krebs has more detail.

Claude Fable 5.1 solved a 370-year-old cipher in forty-four minutes. This tracks with what I wrote about AIs doing mathematics: It's good at things that involve lots of searching and testing.

This essay was written with Barath Raghavan, and originally appeared in Lawfare. In April, an artificial intelligence (AI) agent conducting a routine task at a company hit a snag, tried to solve it, and soon ended up deleting the company’s database along with all of its backups. In July, OpenAI asked an unreleased AI model to attempt a hacking test.

Interesting research: "Stealing Reasoning Traces from Proprietary LLM APIs": Abstract: Leading large language model providers now conceal their models' step-by-step reasoning, or chain-of-thought, to protect intellectual property and limit information leakage. Rather than storing these traces server-side, providers return them to the client as blocks of encrypted text, which the client passes back with each subsequent request. Building on prior research, we identify an architectural vulnerability: these encrypted blocks are fully compatible and interchangeable across different sessions, users, and models within a provider's ecosystem.

Not sure it's practical, but it's certainly striking.

Looks tasty. 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.

It won't work: My suspicion was that GPT 5.6-Cyber would succeed, but the frequency and manner of its success removed all doubt. We have to reassess sandboxing quality for capable AI agents, and in general the software stack with which they interact. An off-the-shelf VM is not enough to contain a modern, cyber-capable AI agent. There is simply too much attack surface. Even innocuous features (like running with a display) add extra, exploitable attack surface.

It's a vulnerability that allows someone to recover the order of ballots cast, newly exploited with AI tools. Nearly four years since the original vulnerability was disclosed, I was still able to use it to analyze voter behavior in Georgia (one of the 21 states that uses affected scanners) in the recent May 2026 primary. Notably, I never touched a voting machine, exploited a network, examined source code, or accessed anything non-public.

We cannot forget that AI coding agents are not yet trustworthy: Researchers at a stealth startup in Israel scanned 6,214 live domains belonging to defense contractors, Fortune 500, and Big Tech companies. Of the 8,265 llms.txt and llms-full.txt files they found (many sites hosted both an llms.txt and an llms-full.txt file), 120 of them, each on a different site, pointed to one or more code packages or domain names that weren't registered.

Researchers built a fake company to study fake employee scams.

I received the two emails below earlier in the month. They're vaguely coherent. I suppose I shouldn't be surprised that the corpus that AIs are training on contain data suggesting that I am someone to write to with random computer and network security problems. After all, I observe that behavior in many humans as well. (Hi, humans. Glad you're still reading.)

Comcast has added motion detection as a feature to its wireless routers: The feature sends push notifications to users when motion is detected near a connected device, such as a TV or printer. It has different settings for when people are home, asleep, or away. The Xfinity app also lets users see live motion activity and a feed of recent activity.

To subscribe to my monthly email newsletter, you have to enter your information on the webpage, and then reply to an automatically generated email. This is, of course, to prevent people from subscribing addresses other than their own. Starting last weekend, I have been receiving a lot of individual responses to those emails. Always one line: Thank you for the positive impact your emails have had on my life.

This is interesting: The records describe a force-generation mechanism for several General Staff components, including the GRU, Main Operational Directorate, and 8th Directorate, which is associated with protected communications, cryptography, and information security. [...] The reporting also linked a 2024 Department No. 4 graduate, Aleksei Kondrashov, to Military Unit 74455, widely known as Sandworm. That unit has been associated with destructive cyber activity against Ukraine and other targets, including the 2017 NotPetya attack.