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...

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,...

How Code Representation Shapes False-Positive Dynamics in Cross-Language LLM Vulnerability Detection

How code representation format shapes false positive behaviour in cross-language LLM vulnerability detection remains poorly understood. We systematically vary training intensity and code representation format, comparing raw source text with pruned Abstract Syntax Trees at both training time and...

CTEM for Telecom Companies

Protect Network Infrastructure. Prevent Service Disruption. Secure 5G, IoT, and Subscriber Data. Telecommunications companies operate the most interconnected infrastructure on the planet. Your networks carry voice, data, and critical services for millions of subscribers, enterprises, and governme...

Malicious code in @breezeai-frontend/tailwind-config (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 93dd597412bdae22d265ee51f76a40cefa637f09bdf73cb7ede9ac63daf05ac8 The package @breezeai-frontend/tailwind-config was found to contain malicious code. Source: ghsa-malware...

CVE-2026-7422 MAC Address Validation Bypass in FreeRTOS-Plus-TCP IPv4 and IPv6 Packet Processing

Insufficient packet validation in FreeRTOS-Plus-TCP before V4.2.6 and V4.4.1 allows an adjacent network actor to bypass all checksum and minimum-size validation by spoofing the Ethernet source MAC address to match one of the device's own registered endpoints, because the loopback detection...

CVE-2026-7422 MAC Address Validation Bypass in FreeRTOS-Plus-TCP IPv4 and IPv6 Packet Processing

Insufficient packet validation in FreeRTOS-Plus-TCP before V4.2.6 and V4.4.1 allows an adjacent network actor to bypass all checksum and minimum-size validation by spoofing the Ethernet source MAC address to match one of the device's own registered endpoints, because the loopback detection...

MAL-2026-3254 Malicious code in @corp-infra/sso-gateway-core (npm)

Dependency confusion and typosquatting campaign by threat actor "saif777". Packages use inflated version numbers 9999.9999.9999, 9999.9999.10000, 50.50.50, 7.66.5 to win version resolution in environments with private registries. All active packages execute a postinstall hook "node index.js" that...