37216 matches found
Securing IoT Communications Via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method
The rapid growth of the Internet of Things IoT has transformed industries by enabling seamless data exchange among connected devices. However, IoT networks remain vulnerable to security threats such as denial of service DoS attacks, anomalous traffic, and data manipulation due to decentralized...
CLASP: Cost-Optimized LLM-Based Agentic System for Phishing Detection
Phishing websites remain a significant cybersecurity threat, necessitating accurate and cost-effective detection mechanisms. In this paper, we present CLASP, a novel system that effectively identifies phishing websites by leveraging multiple intelligent agents, built using large language models...
CVE-2025-3465
creationtimestamp| type| source ---|---|--- 2025-10-20 18:55:11+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3m3nijqbp6n22 2026-05-19 05:00:00+00:00| seen| https://www.cisa.gov/news-events/ics-advisories/icsa-26-139-01...
CVE-2025-61932
Lanscope Endpoint Manager On-Premises Client program MR and Detection agent DA improperly verifies the origin of incoming requests, allowing an attacker to execute arbitrary code by sending specially crafted packets...
CVE-2025-61932
Lanscope Endpoint Manager On-Premises Client program MR and Detection agent DA improperly verifies the origin of incoming requests, allowing an attacker to execute arbitrary code by sending specially crafted packets...
CVE-2025-61932
Lanscope Endpoint Manager On-Premises Client program MR and Detection agent DA improperly verifies the origin of incoming requests, allowing an attacker to execute arbitrary code by sending specially crafted packets...
BlueCodeAgent: A Blue Teaming Agent Enabled by Automated Red Teaming for CodeGen AI
As large language models LLMs are increasingly used for code generation, concerns over the security risks have grown substantially. Early research has primarily focused on red teaming, which aims to uncover and evaluate vulnerabilities and risks of CodeGen models. However, progress on the blue...
PT-2025-42750
Name of the Vulnerable Software and Affected Versions Lanscope Endpoint Manager versions 9.4.7.1 and earlier Motex LANSCOPE Endpoint Manager versions 9.4.7.2 and earlier Description Lanscope Endpoint Manager Client program and Detection agent has a flaw in how it verifies the source of incoming...
[SECURITY] Fedora 42 Update: suricata-7.0.12-1.fc42
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...
Exploit for Observable Discrepancy in Openbsd Openssh
Advanced Exploit Finder A comprehensive penetration testing t...
PoTS: Proof-Of-Training-Steps for Backdoor Detection in Large Language Models
As Large Language Models LLMs gain traction across critical domains, ensuring secure and trustworthy training processes has become a major concern. Backdoor attacks, where malicious actors inject hidden triggers into training data, are particularly insidious and difficult to detect. Existing...
Improving Cybercrime Detection and Digital Forensics Investigations with Artificial Intelligence
According to a recent EUROPOL report, cybercrime is still recurrent in Europe, and different activities and countermeasures must be taken to limit, prevent, detect, analyze, and fight it. Cybercrime must be prevented with specific measures, tools, and techniques, for example through automated...
Intermittent File Encryption in Ransomware: Measurement, Modeling, and Detection
File encrypting ransomware increasingly employs intermittent encryption techniques, encrypting only parts of files to evade classical detection methods. These strategies, exemplified by ransomware families like BlackCat, complicate file structure based detection techniques due to diverse file...
Leveraging Code Cohesion Analysis to Identify Source Code Supply Chain Attacks
Supply chain attacks significantly threaten software security with malicious code injections within legitimate projects. Such attacks are very rare but may have a devastating impact. Detecting spurious code injections using automated tools is further complicated as it often requires deciphering t...
Beyond a Single Perspective: Towards a Realistic Evaluation of Website Fingerprinting Attacks
Website Fingerprinting WF attacks exploit patterns in encrypted traffic to infer the websites visited by users, posing a serious threat to anonymous communication systems. Although recent WF techniques achieve over 90% accuracy in controlled experimental settings, most studies remain confined to...
A Novel GPT-Based Framework for Anomaly Detection in System Logs
Identification of anomalous events within system logs constitutes a pivotal element within the frame- work of cybersecurity defense strategies. However, this process faces numerous challenges, including the management of substantial data volumes, the distribution of anomalies, and the precision o...
A Hard-Label Black-Box Evasion Attack against ML-Based Malicious Traffic Detection Systems
Machine Learning ML-based malicious traffic detection is a promising security paradigm. It outperforms rule-based traditional detection by identifying various advanced attacks. However, the robustness of these ML models is largely unexplored, thereby allowing attackers to craft adversarial traffi...
Rapid7: 7 years of recognition in Gartner® Magic Quadrant™ for SIEM
We’re proud to share that Rapid7 has been recognized in the 2025 Gartner Magic Quadrant for Security Information and Event Management SIEM. This is the seventh year we have been positioned in this report, which means we’ve been recognized in every report following the launch of our SIEM offering,...
Multiple Cisco Products Snort 3 MIME Denial of Service Vulnerabilities
Multiple Cisco products are affected by vulnerabilities in the HTTP Multipurpose Internet Mail Extensions MIME Decoder that could allow an unauthenticated, remote attacker to cause the Snort 3 Detection Engine to leak possible sensitive information or to restart. For more information about these...