Rxss-Scan

Rxss-Scan is a lightwe...

Graph Neural Network-Based DDoS Protection for Data Center Infrastructure

In light of rising cybersecurity threats, data center providers face growing pressure to protect their own management infrastructure from Distributed Denial-of-Service DDoS attacks. While tenant-managed cages generally fall outside the data center's direct security purview, a successful DDoS...

PT-2026-25383

Name of the Vulnerable Software and Affected Versions file-type versions 20.0.0 through 21.3.1 Description file-type detects the file type of a file, stream, or data. A crafted ZIP file can trigger excessive memory growth during type detection when using the fileTypeFromBuffer, fileTypeFromBlob, ...

Ransomware and Artificial Intelligence: A Comprehensive Systematic Review of Reviews

This study provides a comprehensive synthesis of Artificial Intelligence AI, especially Machine Learning ML and Deep Learning DL, in ransomware defense. Using a "review of reviews" methodology based on PRISMA, this paper gathers insights on how AI is transforming ransomware detection, prevention,...

Fedora: Security Advisory (FEDORA-2026-1e497526c7)

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...

CVE-2026-4045

creationtimestamp| type| source ---|---|--- 2026-03-12 20:17:07+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3mgv7rvwok52u...

VulnEye---Lightweight-Vulnerability-Scanner

VulnEye - Lightweight Vulnerability Scanner VulnEye is a modu...

From transparency to action: What the latest Microsoft email security benchmark reveals

In our last benchmarking post, Clarity in complexity: New insights for transparent email security ,1 we shared why transparency matters more than ever in email security and how clear, consistent benchmarking helps security teams cut through noise and make confident decisions. Today, we’re...

Detecting and analyzing prompt abuse in AI tools

This second post in our AI Application Security series is all about moving from planning to practice. AI Application Series 1: Security considerations when adopting AI tools established how AI adoption expands the attack surface and our threat-modelling guidance on the Microsoft security blog...

Detecting and analyzing prompt abuse in AI tools

This second post in our AI Application Security series is all about moving from planning to practice. AI Application Series 1: Security considerations when adopting AI tools established how AI adoption expands the attack surface and our threat-modelling guidance on the Microsoft security blog...

How to Scale Phishing Detection in Your SOC: 3 Steps for CISOs

Phishing has quietly turned into one of the hardest enterprise threats to expose early. Instead of crude lures and obvious payloads, modern campaigns rely on trusted infrastructure, legitimate-looking authentication flows, and encrypted traffic that conceals malicious behavior from traditional...

Highly Autonomous Cyber-Capable Agents: Anticipating Capabilities, Tactics, and Strategic Implications

This report introduces the concept of "Highly Autonomous Cyber-Capable Agents" HACCAs, AI systems capable of autonomously conducting multi-stage cyber campaigns at a level comparable to today's top criminal hacking groups or state-affiliated threat actors, and analyzes the security implications o...

Microsoft Windows Active Setup Persistence Module

This Metasploit module leverages the Windows Active Setup mechanism to establish persistence while integrating multiple evasion and stealth techniques designed to reduce forensic visibility and bypass detection mechanisms...

📄 SPIP CMS Analysis Scanner Script

This is an exploitation tool designed for websites running the SPIP CMS versions 5.4.0 through 5.11.0. The tool performs automated detection and enumeration of SPIP installations, identifies installed plugins, attempts to determine plugin versions, and searches for forms using the saisies plugin...

PT-2026-24949

In Progress Flowmon ADS versions prior to 12.5.5 and 13.0.3, a vulnerability exists whereby an adversary with access to Flowmon monitoring ports may craft malicious network data that, when processed by Flowmon ADS and viewed by an authenticated user, could result in unintended actions being...

Internet-Scale Measurement of React2Shell Exploitation Using an Active Network Telescope

The increasing adoption of server-side component-based web frameworks has introduced new application-layer attack surfaces that remain insufficiently understood at Internet scale. On 3 December 2025, a critical remote code execution vulnerability CVE-2025-55182 in React Server Components, referre...

On the Possible Detectability of Image-In-Image Steganography

This paper investigates the detectability of popular imagein-image steganography schemes 1, 2, 3, 4, 5. In this paradigm, the payload is usually an image of the same size as the Cover image, leading to very high embedding rates. We first show that the embedding yields a mixing process that is...

Rapid7 Detection Coverage for Iran-Linked Cyber Activity

The tension arising out of the conflict in Iran is beginning to show signs of expanding beyond a strictly regional crisis. Following our recent published advisories, this communication is intended to outline and summarize the detection and enrichment coverage available to Rapid7 customers, broadl...

How Hive Pro Brings Comprehensive Security to  CrowdStrike and SentinelOne

& How HivePro Vulnerability Exposure Management VEM extends and amplifies the value of your existing endpoint security/EDR investments - turning detection strength into enterprise-wide vulnerability and exposure intelligence. The Challenge Your EDR is world-class. Your exposure visibility isn't...

Enhancing Network Intrusion Detection Systems: A Multi-Layer Ensemble Approach to Mitigate Adversarial Attacks

Adversarial examples can represent a serious threat to machine learning ML algorithms. If used to manipulate the behaviour of ML-based Network Intrusion Detection Systems NIDS, they can jeopardize network security. In this work, we aim to mitigate such risks by increasing the robustness of NIDS...