35634 matches found
MemoPhishAgent: Memory-Augmented Multi-Modal LLM Agent for Phishing URL Detection
Traditional phishing website detection relies on static heuristics or reference lists, which lag behind rapidly evolving attacks. While recent systems incorporate large language models LLMs, they are still prompt-based, deterministic pipelines that underutilize reasoning capability. We present...
A Lightweight Defense Mechanism against Next Generation of Phishing Emails Using Distilled Attention-Augmented BiLSTM
The current generation of large language models produces sophisticated social-engineering content that bypasses standard text screening systems in business communication platforms. Our proposed solution for mail gateway and endpoint deception detection operates in a privacy-protective manner whil...
Debian: Security Advisory (DLA-4491-1)
The remote host is missing an update for the Debian 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...
pwn-claude-plugin
pwn-claude-plugin Claude Code plugin for binary exploitation...
KAVACHx
Intelligent Exploit & Patch Management Platform A full-stack...
CVE-2026-2908
A security vulnerability has been detected in Tenda HG9 300001138. Affected by this issue is some unknown functionality of the file /boaform/formLoopBack of the component Loopback Detection Configuration Endpoint. Such manipulation of the argument Ethtype leads to stack-based buffer overflow. The...
CVE-2026-2908 Tenda HG9 Loopback Detection Configuration Endpoint formLoopBack stack-based overflow
A security vulnerability has been detected in Tenda HG9 300001138. Affected by this issue is some unknown functionality of the file /boaform/formLoopBack of the component Loopback Detection Configuration Endpoint. Such manipulation of the argument Ethtype leads to stack-based buffer overflow. The...
CVE-2026-2908 Tenda HG9 Loopback Detection Configuration Endpoint formLoopBack stack-based overflow
A security vulnerability has been detected in Tenda HG9 300001138. Affected by this issue is some unknown functionality of the file /boaform/formLoopBack of the component Loopback Detection Configuration Endpoint. Such manipulation of the argument Ethtype leads to stack-based buffer overflow. The...
CVE-2026-2908
A security vulnerability has been detected in Tenda HG9 300001138. Affected by this issue is some unknown functionality of the file /boaform/formLoopBack of the component Loopback Detection Configuration Endpoint. Such manipulation of the argument Ethtype leads to stack-based buffer overflow. The...
Detecting Cybersecurity Threats by Integrating Explainable AI with SHAP Interpretability and Strategic Data Sampling
The critical need for transparent and trustworthy machine learning in cybersecurity operations drives the development of this integrated Explainable AI XAI framework. Our methodology addresses three fundamental challenges in deploying AI for threat detection: handling massive datasets through...
PT-2026-21409
Name of the Vulnerable Software and Affected Versions Tenda HG9 300001138 affected versions not specified Description A security issue exists in Tenda HG9 300001138 related to stack-based buffer overflow. The issue is located within the file /boaform/formLoopBack of the Loopback Detection...
Tenda HG9 安全漏洞
The Tenda HG9 is a WiFi router produced by the Chinese company Tenda. The Tenda HG9 300001138 version has a security vulnerability. This vulnerability stems from incorrect handling of the parameter Ethtype in the file/boaform/formLoopBack of the Loopback Detection Configuration Endpoint component...
regexss
regexss Overly-greedy regex r...
LLM Scalability Risk for Agentic-AI and Model Supply Chain Security
Large Language Models LLMs & Generative AI are transforming cybersecurity, enabling both advanced defenses and new attacks. Organizations now use LLMs for threat detection, code review, and DevSecOps automation, while adversaries leverage them to produce malwares and run targeted social-engineeri...
Routing-Aware Explanations for Mixture of Experts Graph Models in Malware Detection
Mixture-of-Experts MoE offers flexible graph reasoning by combining multiple views of a graph through a learned router. We investigate routing-aware explanations for MoE graph models in malware detection using control flow graphs CFGs. Our architecture builds diversity at two levels. At the node...
Hydra-worm
Hydra-worm Hydra-Worm is a rogue self-replicating exploit that...
📄 Soosyze CMS 2.0 Rate Limit Scanner
Soosyze CMS 2.0 suffers from a missing authentication rate‑limiting vulnerability CWE‑307 on the /user/login endpoint. The application allows unlimited failed login attempts without triggering protections such as rate limiting, account lockout, or CAPTCHA. The provided automatic detection script...
Influence of Autoencoder Latent Space on Classifying IoT CoAP Attacks
The Internet of Things IoT presents a unique cybersecurity challenge due to its vast network of interconnected, resource-constrained devices. These vulnerabilities not only threaten data integrity but also the overall functionality of IoT systems. This study addresses these challenges by explorin...
Detecting PowerShell-Based Fileless Cryptojacking Attacks Using Machine Learning
With the emergence of remote code execution RCE vulnerabilities in ubiquitous libraries and advanced social engineering techniques, threat actors have started conducting widespread fileless cryptojacking attacks. These attacks have become effective with stealthy techniques based on PowerShell-bas...