Category: Schneier on Security

AI and the 2024 Elections

It’s been the biggest year for elections in human history: 2024 is a “super-cycle” year in which 3.7 billion eligible voters in 72 countries had the chance to go the polls. These are also the first AI elections, where many…

Good Essay on the History of Bad Password Policies

Stuart Schechter makes some good points on the history of bad password policies: Morris and Thompson’s work brought much-needed data to highlight a problem that lots of people suspected was bad, but that had not been studied scientifically. Their work…

Mapping License Plate Scanners in the US

DeFlock is a crowd-sourced project to map license plate scanners. It only records the fixed scanners, of course. The mobile scanners on cars are not mapped. The post Mapping License Plate Scanners in the US appeared first on Schneier on…

Criminals Exploiting FBI Emergency Data Requests

I’ve been writing about the problem with lawful-access backdoors in encryption for decades now: that as soon as you create a mechanism for law enforcement to bypass encryption, the bad guys will use it too. Turns out the same thing…

Friday Squid Blogging: Squid-A-Rama in Des Moines

Squid-A-Rama will be in Des Moines at the end of the month. Visitors will be able to dissect squid, explore fascinating facts about the species, and witness a live squid release conducted by local divers. How are they doing a…

Prompt Injection Defenses Against LLM Cyberattacks

Interesting research: “Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks“: Large language models (LLMs) are increasingly being harnessed to automate cyberattacks, making sophisticated exploits more accessible and scalable. In response, we propose a new defense strategy…

Subverting LLM Coders

Really interesting research: “An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection“: Abstract: Large Language Models (LLMs) have transformed code com- pletion tasks, providing context-based suggestions to boost developer productivity in software engineering. As…

IoT Devices in Password-Spraying Botnet

Microsoft is warning Azure cloud users that a Chinese controlled botnet is engaging in “highly evasive” password spraying. Not sure about the “highly evasive” part; the techniques seem basically what you get in a distributed password-guessing attack: “Any threat actor…

AIs Discovering Vulnerabilities

I’ve been writing about the possibility of AIs automatically discovering code vulnerabilities since at least 2018. This is an ongoing area of research: AIs doing source code scanning, AIs finding zero-days in the wild, and everything in between. The AIs…

Sophos Versus the Chinese Hackers

Really interesting story of Sophos’s five-year war against Chinese hackers. This article has been indexed from Schneier on Security Read the original article: Sophos Versus the Chinese Hackers

Roger Grimes on Prioritizing Cybersecurity Advice

This is a good point: Part of the problem is that we are constantly handed lists…list of required controls…list of things we are being asked to fix or improve…lists of new projects…lists of threats, and so on, that are not…

Tracking World Leaders Using Strava

Way back in 2018, people noticed that you could find secret military bases using data published by the Strava fitness app. Soldiers and other military personal were using them to track their runs, and you could look at the public…

Law Enforcement Deanonymizes Tor Users

The German police have successfully deanonymized at least four Tor users. It appears they watch known Tor relays and known suspects, and use timing analysis to figure out who is using what relay. Tor has written about this. Hacker News…

Criminals Are Blowing up ATMs in Germany

It’s low tech, but effective. Why Germany? It has more ATMs than other European countries, and—if I read the article right—they have more money in them. This article has been indexed from Schneier on Security Read the original article: Criminals…