210 matches found
crawpy
Crawpy Yet another content discovery tool written in python. What makes this tool different than others: Sends asynchronous HTTP requests, fast Calibration mode, applies filters on its own Recursive scan mode with additional flags Report generation, you can later go and check your results Multipl...
esperto-wiimote
Esperto Wiimote !IMPORTANT This software requires an updated/fixed Wiimote kernel driver found here. After installation, run sudo sed -i '/ATTRinhibited="1"/s/^//' /etc/udev/rules.d/99-wiimote.rules to un-inhibit IR and accelerometer events. Based on the esperto input system, esperto-wiimote is a...
crawpy
Crawpy Otra herramienta de descubrimiento de contenido escrita en Python. Qué hace diferente a esta herramienta de otras: Envía solicitudes HTTP asíncronas, rápido Modo de calibración, aplica filtros por sí mismo Modo de exploración recursiva con banderas adicionales Generación de informes, luego...
llm-council-vapt
LLM Council — VAPT Finding Validation A blind peer-review pipeline that validates a penetration-test finding before it reaches a client. Independent expert lenses assess the finding, blind-review each other, and a Chairman synthesizes one vetted verdict — is it worth reporting, and is the severit...
CVE-2026-86096 PX4 Autopilot through 1.17.0 Use-After-Free via Temperature Calibration Task Startup
PX4 Autopilot through 1.17.0 contains a use-after-free vulnerability in TemperatureCalibration::start due to a race condition between task spawning and object deletion. Attackers can trigger the calibration process via shell commands to write to freed heap memory, corrupting unrelated objects or...
On Reliability of Efficient Membership Inference Vulnerability Evaluation
Membership inference attacks MIAs are popular methods for empirically assessing the leakage of sensitive information in the training data through models or statistics learned from the data. The MIA vulnerability is often evaluated through false positive rate FPR and true positive rate TPR of a...
CALIBURN: A Regime-Sensitivity Study of Operationally Calibrated Streaming Intrusion Detection
Streaming network intrusion detection systems must process flows continuously while keeping memory bounded, but most current methods leave alerting threshold selection as a post-hoc tuning problem poorly suited to production. Operators need alerting behaviour specifiable before deployment using...
Astra Linux – Vulnerability in Linux 5.10
In the Linux kernel, the following vulnerability has been resolved: ALSA: hda: tas2781: Fixed the incorrect reference to tasdevicepriv. During the process of unifying the calibration data management, the reference to tasdevicepriv was incorrectly set to h-hdapriv instead of h-priv. This led to...
Poster: ClawdGo: Endogenous Security Awareness Training for Autonomous AI Agents
Autonomous AI agents deployed on platforms such as OpenClaw face prompt injection, memory poisoning, supply-chain attacks, and social engineering, yet existing defences address only the platform perimeter, leaving the agent's own threat judgement entirely untrained. We present ClawdGo, a framewor...
[SECURITY] Fedora 44 Update: kgamma-6.6.4-1.fc44
A monitor calibration tool...
Internet Malware Propagation: Dynamics and Control through SEIRV Epidemic Model with Relapse and Intervention
Malware attacks in today's vast digital ecosystem pose a serious threat. Understanding malware propagation dynamics and designing effective control strategies are therefore essential. In this work, we propose a generic SEIRV model formulated using ordinary differential equations to study malware...
CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions
The evaluation of Large Language Models LLMs for code generation relies heavily on the quality and robustness of test cases. However, existing benchmarks often lack coverage for subtle corner cases, allowing incorrect solutions to pass. To bridge this gap, we propose CodeHacker, an automated agen...
Red-Teaming Claude Opus and ChatGPT-Based Security Advisors for Trusted Execution Environments
Trusted Execution Environments TEEs e.g., Intel SGX and ArmTrustZone aim to protect sensitive computation from a compromised operating system, yet real deployments remain vulnerable to microarchitectural leakage, side-channel attacks, and fault injection. In parallel, security teams increasingly...
Jailbreaking LLMs Via Calibration
Safety alignment in Large Language Models LLMs often creates a systematic discrepancy between a model's aligned output and the underlying pre-aligned data distribution. We propose a framework in which the effect of safety alignment on next-token prediction is modeled as a systematic distortion of...
Human-Centered Explainability in AI-Enhanced UI Security Interfaces: Designing Trustworthy Copilots for Cybersecurity Analysts
Artificial intelligence AI copilots are increasingly integrated into enterprise cybersecurity platforms to assist analysts in threat detection, triage, and remediation. However, the effectiveness of these systems depends not only on the accuracy of underlying models but also on the degree to whic...
EUVD-2025-203934
CSRF vulnerability in narda miteq Uplink Power Contril Unit UPC2 v.1.17 allows a remote attacker to execute arbitrary code via the Web-based management interface and specifically the /systemsetup.htm, /setclock.htm, /receiversetup.htm, /cal.htm?..., and /channelsetup.htm endpoints...
Adversarial Limits of Quantum Certification: When Eve Defeats Detection
Security of quantum key distribution QKD relies on certifying that observed correlations arise from genuine quantum entanglement rather than eavesdropper manipulation. Theoretical security proofs assume idealized conditions, practical certification must contend with adaptive adversaries who...
kernel: wifi: brcmsmac: add gain range check to wlc_phy_iqcal_gainparams_nphy()
In the Linux kernel, the following vulnerability has been resolved: wifi: brcmsmac: add gain range check to wlcphyiqcalgainparamsnphy In 'wlcphyiqcalgainparamsnphy', add gain range check to WARN instead of possible out-of-bounds 'tbliqcalgainparamsnphy' access. Compile tested only. Found by Linux...
Trustworthiness Calibration Framework for Phishing Email Detection Using Large Language Models
Phishing emails continue to pose a persistent challenge to online communication, exploiting human trust and evading automated filters through realistic language and adaptive tactics. While large language models LLMs such as GPT-4 and LLaMA-3-8B achieve strong accuracy in text classification, thei...