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Schneier on Security

www.schneier.com ·Policy·10 items·updated
Hiding Capabilities in AI Models

Interesting research: “ AI Models Can Provably Hide Arbitrary Capabilities ” Abstract: Capability evaluations aim to surface dangerous model behaviors before deployment, but their reliability depends on the assumption that hidden capabilities can be elicited. We show this assumption does not hold under adversarial…

Bias in Qwen3-Coder Model

Interesting research : TL;DR: Chinese AI models now sit inside Western products, and some carry geopolitical triggers: tell the model who the code is for, and the security of what it writes changes. For the first time, we showed that this vulnerability lives in the model’s weights, and that removing the model’s CCP…

CVEsNorth America
Compromised TLS Certificates

The Indian CA eMudhra Limited has eight TLS certificates with laughably weak private keys : The compromised eMudhra keys were defective at a level that’s challenging the imagination of many of the engineers studying the incident. A normal size for a NIST P-384 elliptic curve cryptography private key contains roughly…

Possible new Cellebrite iPhone Radio Zero-Day

Justin.sh is reporting on a confidential Cellebrite document that has been leaked to him: Cellebrite calls it Advanced Unlocks (AU from here on), not to be confused with the “advanced unlocking services” they’ve marketed for years. A press release from earlier this year confirms AU is a new product for 2026. […]…

Training AIs to Solve CAPTCHAs

Interesting research : Abstract : Vision-language models (VLMs) can solve visual CAPTCHAs without task-specific training, but the agents built on them approach every challenge from scratch. For such an agent, the hundredth instance of a familiar puzzle costs as much time and compute as the first. Specialized detectors…