Another Historic Cipher Falls to AI
This one is from 1809, written by Napoleon’s nephew.
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Author Archives: Bruce Schneier
Friday Squid Blogging: EU is Trying to Fight Unregulated Squid Fishing
The EU is recommending import controls to combat unregulated squid fishing in the Southwest Atlantic. I’m not optimistic.
As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.
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Unidentified Flock Cameras in Florida
St. Lucie County in Florida discovered (alt link) a dozen Flock cameras whose ownership it can’t identify, and that the county government had not permitted.
I am reminded of the decade-old story of StingRay cell phone surveillance devices in Washington, DC, whose operators were also unknown.
My guess is that in the StingRay case, the devices were operated by foreign actors. This Flock case is more likely some local government entity that didn’t bother getting approval. Were I a foreign actor, I would rather hack the existing Flock network—like Israel …
How American Political Campaigns Are Using AI—and What They’re Spending on the Tools
This essay was written with Nathan E. Sanders, and originally appeared in The Guardian.
New campaign finance disclosure data shines a light on which US political campaigns are using AI tools and how much they are spending on them.
Candidates’, parties’ and committees’ spending reveals that AI is fast becoming an essential tool of politics. The candidates themselves are quiet about how they are using the technology in their own campaigns. It’s a sensitive issue that we have been tracking closely since we started writing our book, Rewiring Democracy…
Connected Cars Are a Surveillance Platform
Researchers at Northeastern University, in collaboration with Consumer Reports, evaluated how much modern cars spy in their drivers:
The new Northeastern study shows, for the first time, data flowing among the vehicles, the vehicle apps you download when you buy your car, and third-party companies, documenting exactly what kind of data gets siphoned from our vehicles and which companies are receiving that information.
Basically, your car’s manufacturer has you under constant surveillance, and they use that data against you.
The companies on the receiving end of your data, our investigation has found, include car insurers and lenders that are partners in “telematics data exchanges,” which compile driving data on millions of drivers, thousands of data brokers that create personalized risk scores, companies selling infotainment and WiFi hotspot products, and even local and state government agencies working on planning, traffic, and safety initiatives…
I Want Better Reporting on AI Genie Behavior
AI systems are regularly completing tasks in ways that their prompters don’t want or intend. Some of them are disturbing, and some of them are dangerous. This is something I’ve been calling “genie behavior,” because I think that really gets at the core of what’s happening.
I wish the popular press would report on this better. I don’t like the “going rogue” framing because it deflects the responsibility from the prompters—often the AI companies themselves. And now, pretty much anything off-script is being called “hacking.”
Take, for example, the recent stories of one of OpenAI’s models hacking into government systems. First, …
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Using Device Linking to Eavesdrop on WhatsApp and Signal
Modern messaging apps allow users to link their phone accounts to their computer desktop. Eavesdroppers are taking advantage of this capability:
Apps such as WhatsApp Web and Signal Desktop allow people to use their accounts on other devices, such as laptops or desktop computers.
Germany’s Customs Office has been using these features to connect a police-controlled computer to a suspect’s account.
Once connected, messages can be delivered to that computer without the police having to crack the encryption protecting them.
Netzpoltik details that police are able to gain access in this way either through physical access to someone’s phone or by intercepting verification codes via a state-sanctioned phishing attack or intercepting SMS messages via telephone surveillance…
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New Attack Against RSA
ArsTechnica is reporting on a “new” attack against RSA, one that bypasses factoring.
First, this attack isn’t new. The original research is from 2007. What is new is the implementation.
Second, it is a forgery attack. It allows an attacker to forge digital signatures. It does not recover the private key from the public key.
Third, the attack only works against pure signatures. That is, signatures without any formatting or padding. This is not generally how we use RSA in practice.
Fourth, speed is all relative. This is not a polynomial-time algorithm; it’s a subexponential-time algorithm. But it is somewhat faster than factoring. The authors were able to forge messages for 1024-bit RSA with 1380 CPU core-years (over five real-world months)…
Friday Squid Blogging: Participatory Squid Dissection in October in Tennessee
I feel like someone who reads this blog will want to go to this:
Families are invited to dive into the fascinating world of marine biology during an exciting, hands-on Family Squid Dissection at the Hands-On Science Center. Designed for curious learners of all ages, this unique experience combines an interactive lesson with the opportunity to explore the anatomy and adaptations of real ocean life.
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During the guided squid dissection, each family will work together to examine a squid up close, exploring its organs, structures, and specialized features. The experience provides a memorable opportunity for children and adults to see firsthand how the anatomy of a squid helps it survive in its underwater environment…
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On Anthropic’s AI Misuse Report
Earlier this month, Anthropic published a long report detailing all of the Claude misuses it detected. Daniel Meissler usefully summarized the report into 117 findings.
A few of the highlights:
- AI agents increasingly handled reconnaissance, exploitation, data theft, propaganda production, surveillance workflows, and research while humans selected targets, set goals, and reviewed important outputs.
- The report describes attackers using AI to industrialize credential theft, cloud compromise, phishing, vulnerability research, and the extraction of sensitive data from downstream organizations.
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