Exploit for CVE-2026-31431

Copy-Fail---CVE-2026-31431 CVE-2026-31431 "Copy Fail" - Analys...

Exploit for Improper Check for Unusual or Exceptional Conditions in Mozilla Firefox

🔐 PDFGuardian Pro - Advanced PDF.js Security Fortification Fra...

Exploit for Missing Authentication for Critical Function in Cpanel

CVE-2026-41940 Detection & Verification !License: MIThttp...

Exploit for CVE-2026-31431

CVE-2026-31431 Mitigation for Deckhouse Kubernetes Platform...

Cisco Firepower Threat Defense (FTD) Software Snort Deep Inspection Bypass (cisco-sa-ftd-snort-bypass-rLggKzVF)

According to its self-reported version, Cisco Secure Firewall Threat Defense FTD Software is affected by a vulnerability. - A vulnerability in the Snort detection engine of Cisco Secure Firewall Threat Defense FTD Software could allow an unauthenticated, remote attacker to bypass the configured...

Linux Kernel Security Vulnerabilities

The Linux kernel is the core of the open-source operating system Linux, developed by the Linux Foundation in the United States. There is a security vulnerability in the Linux kernel, which stems from the lack of hardware detection in the comedi dt2815 driver. This vulnerability may lead to page...

Phishing Detection in Ethereum Via Temporal Graph Contrastive Learning

Blockchain and decentralized finance have revolutionized the financial ecosystem while simultaneously exposing it to cryptocurrency phishing attacks. Existing phishing detection methods primarily rely on graph learning, but they face significant limitations. Static graph learning approaches fail ...

Exploit for CVE-2026-31431

CVE-2026-31431-Copy-Fail---Vulnerability-Detection-Script Dete...

hbac-bias-detection (>=0.1.7, <=0.2.6) potentially affected by CVE-2026-40171 via jupyterlab (3.3.3)

jupyterlab PYPI version 3.3.3 is affected by a known vulnerability. The following packages have a transitive dependency on jupyterlab and may be impacted: - hbac-bias-detection =0.1.7, =0.2.6 Source cves: CVE-2026-40171 Source advisory: OSV:GHSA-RCH3-82JR-F9W9...

What’s new, updated, or recently released in Microsoft Security

New capabilities in Microsoft Agent 365; new Microsoft Defender and GitHub integration At Microsoft, security innovations are purpose-built to help every organization protect end-to-end with the speed and scale of AI. Our vision is simple: security should be ambient and autonomous, just like the ...

What’s new, updated, or recently released in Microsoft Security

New capabilities in Microsoft Agent 365; new Microsoft Defender and GitHub integration At Microsoft, security innovations are purpose-built to help every organization protect end-to-end with the speed and scale of AI. Our vision is simple: security should be ambient and autonomous, just like the ...

Exploit for CVE-2026-31431

copy-fail-cve-2026-31431 Passive detection tooling and techni...

Exploit for CVE-2026-31431

CVE Checker for Copy Fail CVE-2026-31431 Authors: Chris Fol...

Agent389

Agent389 Agent389 is a professional, high-fidelity LDAP inje...

Exploit for CVE-2026-31431

CVE-2026-31431 "Copy Fail" — Defensive Detection Package A pr...

Integrating Log-Based Security Analytics in Agile Workflows: A Real-World Experience Report

Modern organizations increasingly rely on log data and monitoring signals to protect products against account takeovers and abuse, yet integrating security analytics into fast-moving Agile workflows remains challenging. While it is important to understand how security practices are developed and...

RoboKA: KAN Informed Multimodal Learning for RoboCall Surveillance System

Wide exploration on robocall surveillance research is hindered due to limited access to public datasets, due to privacy concerns. In this work, we first curate Robo-SAr, a synthetic robocall dataset designed for robocall surveillance research. Robo-SAr comprises of 200 unwanted and 1200 legitimat...

Trident: Improving Malware Detection with LLMs and Behavioral Features

Traditionally, machine learning methods for PE malware detection have relied on static features like byte histograms, string information, and PE header contents. One barrier to incorporating dynamic analysis features has been the semi-structured nature of sandbox behavior reports. We show that,...

I Can't Recognize (Yet): Delayed Rendering to Defeat Visual Phishing Detectors

Phishing webpages are continuously polluting the Web. Plenty of countermeasures have been proposed and the most advanced techniques leverage machine-learning methods that infer whether a webpage is benign or not by inspecting its visual representation. Yet, despite the demonstrated effectiveness ...

A Comparative Analysis of Machine Learning Models for Intrusion Detection in Intelligent Transport Systems

AI-powered edge computing security is moving Intelligent Transportation Systems ITS from passive, rule-based protections to proactive, smart, zero-touch, self-sufficient safeguards that neutralize threats in milliseconds. As transportation becomes more connected with edge computing, massive IoT,...