fingerprinting

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#fingerprinting

Websites Can Now Spy on You Through Your Hard Drive

Wired · 6d ago Cached

A new technique called FROST exploits SSD timing side channels in browsers to spy on users' activities, identifying open websites and apps without requiring any interaction beyond visiting a malicious site.

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#fingerprinting

FROST: Fingerprinting Remotely using OPFS-based SSD Timing [pdf]

Hacker News Top · 6d ago Cached

This paper presents FROST, a technique for remotely fingerprinting users by exploiting timing differences in the OPFS-based SSD storage.

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#fingerprinting

Cloudflare Turnstile requiring fingerprintable WebGL

Lobsters Hottest · 6d ago Cached

Cloudflare's Turnstile now requires WebGL fingerprinting for device verification, blocking WebKitGTK browsers and raising privacy concerns.

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40% of my browser agent's sessions were silently failing and the LLM wasn't the problem

Reddit r/AI_Agents · 2026-05-21

A developer discovered that 40% of browser agent sessions silently failed due to browser fingerprinting and automation detection, not LLM reasoning. An open-source tool called Leakish identified the issues.

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I broke AppLovin's mediation cipher protocol

Hacker News Top · 2026-05-16 Cached

A researcher reverse-engineered AppLovin's ad mediation cipher protocol, revealing that it uses a weak non-cryptographic PRNG and a static salt to encrypt device information, allowing deterministic re-identification of iPhones across apps even when users deny tracking permission.

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Mullvad exit IPs are surprisingly identifying

Hacker News Top · 2026-05-15 Cached

An analysis reveals that Mullvad VPN deterministically assigns exit IPs based on the WireGuard key, not randomly, leading to a small number of IP combinations that can uniquely identify users across sessions, undermining anonymity.

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Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces

Hugging Face Daily Papers · 2026-05-14 Cached

This paper demonstrates that websites can identify which large language model powers a browsing agent by analyzing its behavioral patterns and timing data, achieving up to 96% F1 score across 14 frontier LLMs. It formalizes this attack surface and shows that random timing delays are insufficient to prevent identification.

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