DMLDroid: Deep Multimodal Fusion Framework for Android Malware Detection with Resilience to Code Obfuscation and Adversarial Perturbations

In recent years, learning-based Android malware detection has seen significant advancements, with detectors generally falling into three categories: string-based, image-based, and graph-based approaches. While these methods have shown strong detection performance, they often struggle to sustain...

VulAgent: Hypothesis-Validation Based Multi-Agent Vulnerability Detection

The application of language models to project-level vulnerability detection remains challenging, owing to the dual requirement of accurately localizing security-sensitive code and correctly correlating and reasoning over complex program context. We present VulAgent, a multi-agent vulnerability...

Exploit for Use After Free in Microsoft

CVE Analysis & Detection — PoCs, Snort Detection, and Mitigati...

threat-detection-as-code

This repository is a community-driven set of security analytics for auditing cloud usage and detecting threats to data & workloads in Google Cloud. It provides a list of sample security analytics for auditing cloud usage and for detecting threats to your data & workloads in Google Cloud. The...

zscan

This is a collection of tools for scanning and blasting exploiting services on a network. The tool is called Zscan and is written in Go. It has several modules for different types of scans and exploits, including: Port scanning Service blasting exploiting FTP blasting HTTP blasting LDAP blasting...

Vxscan

This is a Python-based comprehensive scanning tool called Vxscan. It is designed to perform various scanning tasks such as sensitive file detection, WAF/CDN identification, port scanning, fingerprint/service identification, operating system identification, weak password detection, POC scanning, S...

TPSQLi: Test Prioritization for SQL Injection Vulnerability Detection in Web Applications

The rapid proliferation of network applications has led to a significant increase in network attacks. According to the OWASP Top 10 Projects report released in 2021, injection attacks rank among the top three vulnerabilities in software projects. This growing threat landscape has increased the...

Large Language Models for Security Operations Centers: a Comprehensive Survey

Large Language Models LLMs have emerged as powerful tools capable of understanding and generating human-like text, offering transformative potential across diverse domains. The Security Operations Center SOC, responsible for safeguarding digital infrastructure, represents one of these domains. SO...

cpvst

🛡️ CPVST - Cyber Prince Vulnerability Scanner Tool !Python...

URL2Graph++: Unified Semantic-Structural-Character Learning for Malicious URL Detection

Malicious URL detection remains a major challenge in cybersecurity, primarily due to two factors: 1 the exponential growth of the Internet has led to an immense diversity of URLs, making generalized detection increasingly difficult; and 2 attackers are increasingly employing sophisticated...

Fedora: Security Advisory (FEDORA-2025-5ba89a2c48)

The remote host is missing an update for the 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...

psfree-lapse

🌟 psfree-lapse - Easy PS4 Exploits in One Place 📥 Download...

What You Code Is What We Prove: Translating BLE App Logic into Formal Models with LLMs for Vulnerability Detection

The application layer of Bluetooth Low Energy BLE is a growing source of security vulnerabilities, as developers often neglect to implement critical protections such as encryption, authentication, and freshness. While formal verification offers a principled way to check these properties, the manu...

Fraud Detection and Risk Assessment of Online Payment Transactions on E-Commerce Platforms Based on LLM and GCN Frameworks

With the rapid growth of e-commerce, online payment fraud has become increasingly complex, posing serious threats to financial security and consumer trust. Traditional detection methods often struggle to capture the intricate relational structures inherent in transactional data. This study presen...

Enhancing Cyber Threat Hunting -- a Visual Approach with the Forensic Visualization Toolkit

In today's dynamic cyber threat landscape, organizations must take proactive steps to bolster their cybersecurity defenses. Cyber threat hunting is a proactive and iterative process aimed at identifying and mitigating advanced threats that may go undetected by traditional security measures. Rathe...

Protection Mechanism Failure

Overview picklescan is a Security scanner detecting Python Pickle files performing suspicious actions Affected versions of this package are vulnerable to Protection Mechanism Failure via the scanbytes function. An attacker can bypass detection of malicious content by disguising a standard pickle...

Protection Mechanism Failure

Overview picklescan is a Security scanner detecting Python Pickle files performing suspicious actions Affected versions of this package are vulnerable to Protection Mechanism Failure when processing ZIP files. An attacker can bypass detection of malicious payloads by crafting ZIP archives with...

Linux Distros Unpatched Vulnerability : CVE-2016-1781

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - WebKit in Apple iOS before 9.3 and Safari before 9.1 mishandles attachment URLs, which makes it easier for remote web servers to track users via unspecified...

Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques

In the realm of cybersecurity, phishing stands as a prevalent cyber attack, where attackers employ various tactics to deceive users into gathering their sensitive information, potentially leading to identity theft or financial gain. Researchers have been actively working on advancing phishing...

Linux Distros Unpatched Vulnerability : CVE-2020-3299

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Multiple Cisco products are affected by a vulnerability in the Snort detection engine that could allow an unauthenticated, remote attacker to bypass a configure...