Role confusion: one more reason we can’t trust LLMs

Prompt Injection as Role Confusion is my new favorite paper about a very obvious threat in hindsight that’s hard for us humans to see because we anthropomorphize LLMs so naturally. When Obi-Won Kenobi tells the stormtroopers that “These are not the droids you are looking for” to pass the checkpoint that’s role confusion: the guards foolishly think his words are their own thoughts. The very readable blog-style writeup explains the details, but I want to focus on the threat model perspective which is my bread and butter.

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ai  security 

Normalizing cybersecurity facepalms

OpenAI writes: “Last week, Hugging Face disclosed a new kind of security incident⁠(opens in a new window) after they detected and contained an AI agent that compromised their infrastructure, something we expect to become more commonplace with the proliferation of increasingly cyber-capable models. After investigating, we now know that this particular incident was driven by a combination of OpenAI models — including GPT‑5.6 Sol and an even more capable pre-release model, all with reduced cyber refusals for evaluation purposes — while being internally tested on a benchmark⁠(opens in a new window) of cyber capabilities.”

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ai  security 

PHANTOM-B: threat modeling systems using LLMs

Opinion

Back in 1999 had STRIDE anticipated LLMs at all, much less their particular threats, it would be remembered as an unbelievable feat of prognostication rather than just categories of threats. However, even if it had predicted present day machine learning capabilities I think it plays a different role than the subject of the latest Shostack + Associates White Paper #6 titled PHANTOM-B: A STRIDE Analog for LLMs (PHANTOM-B is a tool to structure how you answer the question “What can go wrong with the LLM parts of the system?)” clearly notes: “PHANTOM-B is intended to be used as prompts, rather than categories.” By “prompts” I believe that means suggestions for (non-digital) people — not inputs to LLMs.

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Flaunt your Threat Models!

Threat modeling is the most powerful, underutilized, easy-to-do security methodology we have: why isn’t everybody doing it already, or why do those who are keep their work secret? If you already threat model your digital systems and products, and are doing the work already then you are doing security right so you should share it with pride. Publishing threat models may be the best evidence of excellent security work that customers and users can appreciate the value of, short of a rigorous detailed design and code review. You’ve already done the work — or if not you really should — and making it public not only is great promotion but it also helps all stakeholders understand their respective roles and responsibilities in securing larger systems. (about 4600 words)

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Threat Modeling threat modeling

(2300 words) Threat modeling isn’t just for software security; you can even threat model threat modeling. When a major software incident occurs, the first thing we should be asking is “show us the threat model”.

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Crowdstrike further revelations

In a debunking blog post, Crowdstrike finally starts to describe that content files are digitally signed for deployment. The initial report oddly referenced file timestamps instead of hashes to designate the bad and good versions of the infamous Channel File 291, but now we know these were signed.

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