57 matches found
linnix
Linnix SLO를 해치고 있는 프로세스를 찾아보세요 — CPU를 누가 쓰는지가 아니라, 누가 지연stall을 일으키는지까지. 문제 top은 CPU 80%를 보여줍니다. Prometheus는 높은 지연 시간을 보여줍니다. 하지만 실제로 결제 서비스를 지연시키는 포드pod는 어느 것일까요? Linnix는 eBPF + PSIPressure Stall Information를 사용하여 이 질문에 답합니다. PSI는 실제 지연 시간을 측정합니다 — 사용량이 아닌 경합contention을 측정합니다. CPU 40%를 사용하면서 PSI...
bofhound
THIS REPO IS NO LONGER ACTIVE ⛔🚧 This repo is no longer maintained. To submit an issue, pull request, or obtain the lastest version, reference https://github.com/coffeegist/bofhound 🚧⛔ root@kitploit: | / / / | /| | | | / \ | | | | | \ | | | \ | | | | | | | | | | || | | | | | | | | | | | | | .--. ...
noisy
Noisy Простой скрипт на Python, который генерирует случайный шум HTTP/DNS-трафика в фоне, пока вы занимаетесь обычным веб-серфингом, чтобы сделать ваши данные о веб-трафике менее ценными для продажи и повысить скрытность. Протестирован на MacOS High Sierra, Ubuntu 16.04 и Raspbian Stretch,...
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-2025-89825
Malicious code in noisylemmingz3n npm...
EUVD-2025-89826
Malicious code in noisycrocodilez3n npm...
EUVD-2025-74421
Malicious code in noisybisonamaranth-62 npm...
EUVD-2025-76180
Malicious code in noisyparrotfish-apptea npm...
Malicious code in noisy_whale_z3n (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 5cf39ab42e48c3658e4dd87926f83ba1cdfffa82b9444e0c2b038a4a8770cda0 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...