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obfuscate_xss_detection_boosting_
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Axios NPM Distribution Compromised in Supply Chain Attack
A compromised axios maintainer account led to malicious npm releases that propagated across environments. Learn how to assess impact, detect compromise, and secure your development workflows...
Efficient Software Vulnerability Detection Using Transformer-Based Models
Detecting software vulnerabilities is critical to ensuring the security and reliability of modern computer systems. Deep neural networks have shown promising results on vulnerability detection, but they lack the capability to capture global contextual information on vulnerable code. To address th...
Malware and Ransomware Detection in M365
Availability Requirement Threat Detection is available to Veeam Data Cloud for Microsoft 365 customers with Premium or Advanced plans. Customers must opt in to AI settings to enable this feature. Contact your Veeam account team or see your plan details to confirm availability. Supported Workloads...
When Labels Are Scarce: A Systematic Mapping of Label-Efficient Code Vulnerability Detection
Machine-learning-based code vulnerability detection CVD has progressed rapidly, from deep program representations to pretrained code models and LLM-centered pipelines. Yet dependable vulnerability labeling remains expensive, noisy, and uneven across projects, languages, and CWE types, motivating...
Kernel Observability for Data Movement
Kernel-level visibility reveals hidden data movement in breaches, exposing gaps in modern security tools and improving detection, compliance, and system behavior tracking...
CVE-2026-33983
FreeRDP is a free implementation of the Remote Desktop Protocol. Prior to version 3.24.2, progressivedecompresstileupgrade detects a mismatch via progressiverfxquantcmpequal but only emits WLogWARN, execution continues. The wrapped value 247 is used as a shift exponent, causing undefined behavior...
Label-Efficient Training Updates for Malware Detection over Time
Machine Learning ML-based detectors are becoming essential to counter the proliferation of malware. However, common ML algorithms are not designed to cope with the dynamic nature of real-world settings, where both legitimate and malicious software evolve. This distribution drift causes models...
Fedora: Security Advisory (FEDORA-2026-c283cce7fd)
The remote host is missing an update for the SPDX-FileCopyrightText: 2026 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...
Software Vulnerability Detection Using a Lightweight Graph Neural Network
Large Language Models LLMs have emerged as a popular choice in vulnerability detection studies given their foundational capabilities, open source availability, and variety of models, but have limited scalability due to extensive compute requirements. Using the natural graph relational structure o...
GMA-SAWGAN-GP: A Novel Data Generative Framework to Enhance IDS Detection Performance
Intrusion Detection System IDS is often calibrated to known attacks and generalizes poorly to unknown threats. This paper proposes GMA-SAWGAN-GP, a novel generative augmentation framework built on a Self-Attention-enhanced Wasserstein GAN with Gradient Penalty WGAN-GP. The generator employs...
GHSA-GWHV-J974-6FXM MikroORM is vulnerable to SQL Injection via specially crafted object
Summary MikroORM versions = 6.6.9 and = 7.0.5 are vulnerable to SQL injection when specially crafted objects are interpreted as raw SQL query fragments. Impact If user-controlled input is passed directly to MikroORM query construction APIs, an attacker may inject raw SQL fragments. This can lead ...
Secure Reinforcement Learning: On Model-Free Detection of Man in the Middle Attacks
We consider the problem of learning-based man-in-the-middle MITM attacks in cyber-physical systems CPS, and extend our previously proposed Bellman Deviation Detection BDD framework for model-free reinforcement learning RL. We refine the standard MDP attack model by allowing the reward function to...
CVE-2026-33981
changedetection.io is a free open source web page change detection tool. Prior to 0.54.7, the jq: and jqraw: include filter expressions allow use of the jq env builtin, which reads all process environment variables and stores them as the watch snapshot. An authenticated user or unauthenticated us...
[SECURITY] Fedora 43 Update: suricata-7.0.15-1.fc43
The Suricata Engine is an Open Source Next Generation Intrusion Detection and Prevention Engine. This engine is not intended to just replace or emulate the existing tools in the industry, but will bring new ideas and technologies to the field. This new Engine supports Multi-threading, Automatic...
[SECURITY] Fedora 44 Update: suricata-8.0.4-1.fc44
The Suricata Engine is an Open Source Next Generation Intrusion Detection and Prevention Engine. This engine is not intended to just replace or emulate the existing tools in the industry, but will bring new ideas and technologies to the field. This new Engine supports Multi-threading, Automatic...
Context-Aware Phishing Email Detection Using Machine Learning and NLP
Phishing attacks remain among the most prevalent cybersecurity threats, causing significant financial losses for individuals and organizations worldwide. This paper presents a machine learning-based phishing email detection system that analyzes email body content using natural language processing...
Finding Memory Leaks in C/C++ Programs Via Neuro-Symbolic Augmented Static Analysis
Memory leaks remain prevalent in real-world C/C++ software. Static analyzers such as CodeQL provide scalable program analysis but frequently miss such bugs because they cannot recognize project-specific custom memory-management functions and lack path-sensitive control-flow modeling. We present...
Quantum Bit Error Rate Analysis in BB84 Quantum Key Distribution: Measurement, Statistical Estimation, and Eavesdropping Detection
Quantum Key Distribution QKD provides information-theoretic security by exploiting the principles of quantum mechanics. Among QKD protocols, the BB84 scheme remains the most widely adopted for both theoretical research and practical implementation. A critical parameter determining the reliability...