HIDBench: Benchmarking Large Language Models for Host-Based Intrusion Detection

Recent benchmark efforts have advanced the evaluation of large language models LLMs in cybersecurity, including tasks such as penetration testing and vulnerability identification. However, a critical cybersecurity task, namely intrusion detection from system logs, remains unexplored. In this work...

Continuous Discovery of Vulnerabilities in LLM Serving Systems with Fuzzing

LLM inference and serving systems have become security-critical infrastructure; however, many of their most concerning failures arise from the serving layer rather than from model behavior alone. Modern inference engines combine KV cache, batching, prefix sharing, speculative decoding, adapters,...

Formulating Subgroup Discovery As a Quantum Optimization Problem for Network Security

While current network intrusion detection systems achieve satisfactory accuracy, they often lack explainability. Subgroup Discovery SD addresses this by building interpretable rules that characterize feature interactions associated with attack traffic. With large datasets, classical heuristic bea...

Perceptual Gaps: ASCII Art and Overlapping Audio As CAPTCHA

As multimodal large language models LLMs advance, traditional CAPTCHAs have become obsolete at distinguishing humans from bots. To address this shift, this paper aims to investigate the possibility of using tasks for which humans have evolved highly specialised neural processing. We introduce two...

OrgForge-IT: A Verifiable Synthetic Benchmark for LLM-Based Insider Threat Detection

Synthetic insider threat benchmarks face a consistency problem: corpora generated without an external factual constraint cannot rule out cross-artifact contradictions. The CERT dataset -- the field's canonical benchmark -- is also static, lacks cross-surface correlation scenarios, and predates th...

Eve'S Forgery Probability from Her False Acceptance Probability: Interactive Authentication, Holevo Information and the Min-Entropy

We obtain estimates for Eve's forgery probability, namely the probability that she is able to forge a message which Alice or Bob mistakenly accept over a noisy Quantum channel for generating a shared Quantum secret key. This probability is related to Eve's success probability obtained in a previo...

AlertBERT: A Noise-Robust Alert Grouping Framework for Simultaneous Cyber Attacks

Automated detection of cyber attacks is a critical capability to counteract the growing volume and sophistication of cyber attacks. However, the high numbers of security alerts issued by intrusion detection systems lead to alert fatigue among analysts working in security operations centres SOC,...

Quantum Ramp Secret Sharing from Haar Scrambling

Quantum information scrambling has emerged as a powerful tool for studying the dynamics of chaotic quantum many-body systems, assessing benchmarking protocols, and even investigating exotic black hole models. During quantum information scrambling, localized quantum information disperses across th...

RECTor: Robust and Efficient Correlation Attack on Tor

Tor is a widely used anonymity network that conceals user identities by routing traffic through encrypted relays, yet it remains vulnerable to traffic correlation attacks that deanonymize users by matching patterns in ingress and egress traffic. However, existing correlation methods suffer from t...

MAL-2025-116059 Malicious code in noisy_lemming_z3n (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector bfa216ad06d88fa8bbcc616a6f69c5d8d025f6b01cf39628af652b05cef0ae2b This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

EUVD-2025-89826

Malicious code in noisycrocodilez3n npm...

EUVD-2025-89825

Malicious code in noisylemmingz3n npm...

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Malicious code in noisybisonamaranth-62 npm...

EUVD-2025-76180

Malicious code in noisyparrotfish-apptea npm...

Malicious code in noisy_whale_z3n (npm)

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EUVD-2025-78707

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MAL-2025-106364 Malicious code in noisy_cattle_0xrequest (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector b77a1d8695de252987fce4ec2e75ceb7d6523c9a384a3d0a7ccf56a59ed8c585 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

EUVD-2025-81094

Malicious code in noisysharkreplicateautomation npm...

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Malicious code in noisycattle0xrequest npm...

MAL-2025-106367 Malicious code in noisy_peafowl_z3n (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 6d6d34691f436c9da9fc907d38f507f41318eaa64a79c17ffc262c0891680e0d This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...