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Side-channel attacks infer sensitive data from unintended signals such as timing, power use, or electromagnetic emissions, bypassing logical defenses.

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Side-channel attacks infer secrets from indirect physical or behavioral signals produced while a system operates, rather than from the intended output alone. Useful signals can include execution time, CPU-cache behavior, power use, electromagnetic emissions, or sound. In practice, attackers may measure many operations and use statistical analysis to recover cryptographic keys or distinguish sensitive data, especially when they can run code near a target or obtain physical access to a device.

The main concern is unintended information leakage from cryptographic libraries, processors, smart cards, mobile and embedded devices, and shared computing environments. Risk reduction includes constant-time implementations, masking or blinding that makes intermediate values less useful, limiting co-residency and access to high-resolution measurements, and shielding or filtering hardware where appropriate. Security testing should measure actual leakage rather than assume encryption alone prevents it; vulnerability management should also account for affected processor designs, libraries, and device models. Exposure and feasible attacker access determine whether a side channel is a practical threat.

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Encryption protects content, not context Mischief-makers can guess the subjects being discussed with LLMs using a side-channel attack, according to Microsoft researchers. They told The Register that models from some providers, including Anthropic, AWS, DeepSeek, and Google, haven't been fixed, putting both personal users and enterprise communications at risk.…

Microsoft has disclosed details of a novel side-channel attack targeting remote language models that could enable a passive adversary with capabilities to observe network traffic to glean details about model conversation topics despite encryption protections under certain circumstances

A group of academic researchers from Georgia Tech, Purdue University, and Synkhronix have developed a side-channel attack called TEE.Fail that allows for the extraction of secrets from the trusted execution environment (TEE) in a computer's main processor, including Intel's Software Guard eXtensions (SGX) and Trust Domain Extensions (TDX) and AMD's Secure Encrypted Virtualization with Secure

Android devices from Google and Samsung have been found vulnerable to a side-channel attack that could be exploited to covertly steal two-factor authentication (2FA) codes, Google Maps timelines, and other sensitive data without the users' knowledge pixel-by-pixel

AMD Zen hardware and Intel Coffee Lake affected If you thought the world was done with side-channel CPU attacks, think again. ETH Zurich has identified yet another Spectre-based transient execution vulnerability that affects AMD Zen CPUs and Intel Coffee Lake processors by breaking virtualization boundaries.…

A team of security researchers from Georgia Institute of Technology and Ruhr University Bochum has demonstrated two new side-channel attacks targeting Apple silicon that could be exploited to leak sensitive information from web browsers like Safari and Google Chrome

It's another cousin of Spectre, here to read your email, browsing history, and more Many recent Apple laptops, desktops, tablets, and phones powered by Cupertino's homegrown Silicon processors can be exploited to reveal email content, browsing behavior, and other sensitive data through two newly identified side-channel attacks on Chrome and Safari.…

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