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Cybersécurité

JSCeal Malware Can Bypass Google Authentication Using Stolen Session Cookies

Cybersecurity researchers have unpacked JSCeal, a sophisticated compiled V8 JavaScript (JSC) malware with credential harvesting, surveillance, and traffic-interception capabilities. "The payloads are protected with javascript-obfuscator, using multiple techniques including RC4-protected strings, control-flow flattening, proxy functions, and operation wrappers," Check Point…

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Cybersécurité

N-able patches max severity N-central flaw amid ongoing attacks

N-able has released an emergency hotfix for a maximum-severity remote code execution (RCE) flaw affecting its N-central remote monitoring and management (RMM) platform. [...]

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Intelligence Artificielle

Evaluation of Phonetic Encoding Algorithms on Transcription Datasets

arXiv:2609.04391v1 Announce Type: new Abstract: In this work, a novel evaluation scheme built on a generalized variant of the Rand Index measure, namely, the H\"ullermeier-Rifqi Index, is proposed in order to assess how well phonetic encoding algorithms conform to word-based transcriptions in IPA (International Phonetic Alphabet) notation. For this objective, the discordance…

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Intelligence Artificielle

You Really Didn't Get That? Benchmarking Social Pragmatic Inference for Indirect and Playful Chinese Online Comments

arXiv:2609.04384v1 Announce Type: new Abstract: Chinese online comments often convey social meaning through indirect and playful language that is hard to interpret without context. Existing evaluations largely organize items around predefined phenomena or controlled pragmatic categories, leaving open whether models can distinguish plausible readings of what a naturally…

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Intelligence Artificielle

VERGE: Verification-Enhanced Refinement for Grounded Extraction of Early-Onset Colorectal Cancer Symptoms in Clinical Notes

arXiv:2609.04366v1 Announce Type: new Abstract: Early-onset colorectal cancer is increasing among younger adults, yet red-flag symptoms in this age group have no evidence-based guidelines for follow-up testing, and structured encounter data do not capture the detail needed to support early detection and inform follow-up, including symptom duration, context, and fam- ily…

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Intelligence Artificielle

Adapting from Downturns: Prediction of Long-Term Conversational-Skill Development in Mental-Health Crisis Counselors

arXiv:2609.04350v1 Announce Type: new Abstract: How do people learn to become better conversationalists? This question is especially important in the context of mental-health counseling, where conversational skills are essential, yet volunteer counselors often have limited access to supervision and structured feedback. Understanding how counselors develop their ability to…

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