35641 matches found
Nuclei 3.5.1
Nuclei is a modern, high-performance vulnerability scanner that leverages simple YAML-based templates. It empowers you to design custom vulnerability detection scenarios that mimic real-world conditions, leading to zero false positives...
Interpretable Ransomware Detection Using Hybrid Large Language Models: A Comparative Analysis of BERT, RoBERTa, and DeBERTa through LIME and SHAP
Ransomware continues to evolve in complexity, making early and explainable detection a critical requirement for modern cybersecurity systems. This study presents a comparative analysis of three Transformer-based Large Language Models LLMs BERT, RoBERTa, and DeBERTa for ransomware detection using...
MalRAG: A Retrieval-Augmented LLM Framework for Open-Set Malicious Traffic Identification
Fine-grained identification of IDS-flagged suspicious traffic is crucial in cybersecurity. In practice, cyber threats evolve continuously, making the discovery of novel malicious traffic a critical necessity as well as the identification of known classes. Recent studies have advanced this goal wi...
Examining the Security Posture of an Anti-Crime Ecosystem
Whitepaper called Examining the security posture of an Anti-Crime Ecosystem. The prevalence of anti-crime technology has seen a steep incline in the past few years. Since the introduction of cell phones, the expectation of privacy has gone steeply down. With that in mind, independent security...
Kubernetes: Node Detection
Detection of the Kubernetes node type SPDX-FileCopyrightText: 2025 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 scriptoid"1.3.6.1.4.1.25623.1.0.137000";...
LogPurge: Log Data Purification for Anomaly Detection Via Rule-Enhanced Filtering
Log anomaly detection, which is critical for identifying system failures and preempting security breaches, detects irregular patterns within large volumes of log data, and impacts domains such as service reliability, performance optimization, and database log analysis. Modern log anomaly detectio...
Scalable Hierarchical AI-Blockchain Framework for Real-Time Anomaly Detection in Large-Scale Autonomous Vehicle Networks
The security of autonomous vehicle networks is facing major challenges, owing to the complexity of sensor integration, real-time performance demands, and distributed communication protocols that expose vast attack surfaces around both individual and network-wide safety. Existing security schemes...
Adaptive Dual-Layer Web Application Firewall (ADL-WAF) Leveraging Machine Learning for Enhanced Anomaly and Threat Detection
Web Application Firewalls are crucial for protecting web applications against a wide range of cyber threats. Traditional Web Application Firewalls often struggle to effectively distinguish between malicious and legitimate traffic, leading to limited efficacy in threat detection. To overcome these...
ProxyPrints: From Database Breach to Spoof, a Plug-And-Play Defense for Biometric Systems
Fingerprint recognition systems are widely deployed for authentication and forensic applications, but the security of stored fingerprint data remains a critical vulnerability. While many systems avoid storing raw fingerprint images in favor of minutiae-based templates, recent research shows that...
EUVD-2025-197675
Not used...
Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detection
Fuzzing is a widely used technique for detecting vulnerabilities in smart contracts, which generates transaction sequences to explore the execution paths of smart contracts. However, existing fuzzers are falling short in detecting sophisticated vulnerabilities that require specific attack...
RulePilot: An LLM-Powered Agent for Security Rule Generation
The real-time demand for system security leads to the detection rules becoming an integral part of the intrusion detection life-cycle. Rule-based detection often identifies malicious logs based on the predefined grammar logic, requiring experts with deep domain knowledge for rule generation...
Retrofit: Continual Learning with Bounded Forgetting for Security Applications
Modern security analytics are increasingly powered by deep learning models, but their performance often degrades as threat landscapes evolve and data representations shift. While continual learning CL offers a promising paradigm to maintain model effectiveness, many approaches rely on full...
Prompt Engineering Vs. Fine-Tuning for LLM-Based Vulnerability Detection in Solana and Algorand Smart Contracts
Smart contracts have emerged as key components within decentralized environments, enabling the automation of transactions through self-executing programs. While these innovations offer significant advantages, they also present potential drawbacks if the smart contract code is not carefully design...
VULPO: Context-Aware Vulnerability Detection Via On-Policy LLM Optimization
The widespread reliance on open-source software dramatically increases the risk of vulnerability exploitation, underscoring the need for effective and scalable vulnerability detection VD. Existing VD techniques, whether traditional machine learning-based or LLM-based approaches like prompt...
NegBLEURT Forest: Leveraging Inconsistencies for Detecting Jailbreak Attacks
Jailbreak attacks designed to bypass safety mechanisms pose a serious threat by prompting LLMs to generate harmful or inappropriate content, despite alignment with ethical guidelines. Crafting universal filtering rules remains difficult due to their inherent dependence on specific contexts. To...
Adaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning
The routing protocol for low-power and lossy networks RPL has become the de facto routing standard for resource-constrained IoT systems, but its lightweight design exposes critical vulnerabilities to a wide range of routing-layer attacks such as hello flood, decreased rank, and version number...
EUVD-2025-175368
Dell Alienware Command Center 6.x AWCC, versions prior to 6.10.15.0, contain a Detection of Error Condition Without Action vulnerability. A low privileged attacker with local access could potentially exploit this vulnerability, leading to Arbitrary Code Execution...
CVE-2025-46367
Dell Alienware Command Center 6.x AWCC, versions prior to 6.10.15.0, contain a Detection of Error Condition Without Action vulnerability. A low privileged attacker with local access could potentially exploit this vulnerability, leading to Arbitrary Code Execution...
