57 matches found
linnix
Linnix 找出哪个进程正在损害你的SLO——不仅仅是哪个进程正在使用CPU，而是哪个进程正在导致停滞。 问题 top显示80%的CPU。Prometheus显示高延迟。但 哪个Pod 实际上正在拖慢你的支付服务？ Linnix使用eBPF + PSI（压力停滞信息）来解答这一问题。PSI测量实际的停滞时间——不是使用率，而是争用。一个使用40% CPU且PSI为60%的Pod比一个使用100% CPU但PSI为5%的Pod更糟。 Linnix检测的内容： 嘈杂邻居 ：哪个容器在导致其他容器资源饥饿 Fork风暴 ：在节点崩溃前失控的进程创建 停滞归因 ：“Pod X 导致 Pod Y...
noisy
Noisy A simple python script that generates random HTTP/DNS traffic noise in the background while you go about your regular web browsing, to make your web traffic data less valuable for selling and for extra obscurity. Tested on MacOS High Sierra, Ubuntu 16.04 and Raspbian Stretch and is compatab...
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THIS REPO IS NO LONGER ACTIVE ⛔🚧 This repo is no longer maintained.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 🚧⛔ | / / / | /| | | | / \ | | | | | \ | | | \ | | | | | | | | | | || | | | | | | | | | | | | | .--. | | | | | | | |...
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,...