CVE-2026-0283 PAN-OS: Authentication Bypass Vulnerability in Large Scale VPN (LSVPN)

An authentication bypass vulnerability in Large Scale VPN LSVPN functionality of Palo Alto Networks PAN-OS software allows an attacker with network access to bypass security restrictions and establish an unauthorized site-to-site VPN connection. Panorama, Cloud NGFW, and Prisma® Access are not...

EUVD-2026-42678

An authentication bypass vulnerability in Large Scale VPN LSVPN functionality of Palo Alto Networks PAN-OS software allows an attacker with network access to bypass security restrictions and establish an unauthorized site-to-site VPN connection. Panorama, Cloud NGFW, and Prisma® Access are not...

CVE-2026-0284 PAN-OS: XML Injection Vulnerability in Large Scale VPN (LSVPN)

An XML injection vulnerability in the Large Scale VPN LSVPN functionality of Palo Alto Networks PAN-OS® software enables an unauthenticated attacker with network access to inject malicious XML content, potentially leading to information disclosure or corruption of internal LSVPN satellite data...

CVE-2026-0284

An XML injection vulnerability in the Large Scale VPN LSVPN functionality of Palo Alto Networks PAN-OS® software enables an unauthenticated attacker with network access to inject malicious XML content, potentially leading to information disclosure or corruption of internal LSVPN satellite data...

EUVD-2026-42677

An XML injection vulnerability in the Large Scale VPN LSVPN functionality of Palo Alto Networks PAN-OS® software enables an unauthenticated attacker with network access to inject malicious XML content, potentially leading to information disclosure or corruption of internal LSVPN satellite data...

CVE-2026-0284 PAN-OS: XML Injection Vulnerability in Large Scale VPN (LSVPN)

An XML injection vulnerability in the Large Scale VPN LSVPN functionality of Palo Alto Networks PAN-OS® software enables an unauthenticated attacker with network access to inject malicious XML content, potentially leading to information disclosure or corruption of internal LSVPN satellite data...

CVE-2026-0284

CVE-2026-0284 describes an XML injection vulnerability in the PAN-OS Large Scale VPN (LSVPN) functionality. An unauthenticated attacker with network access can inject malicious XML content, potentially leading to information disclosure or corruption of internal LSVPN satellite data. PAN-OS compon...

Palo Alto Networks PAN-OS 10.2.x / 11.1.x / 11.2.x / 12.1.x Vulnerability

The version of Palo Alto Networks PAN-OS running on the remote host is a vulnerable version of 10.2.x, 11.1.x, 11.2.x, or 12.1.x. It is, therefore, affected by a vulnerability. An XML injection vulnerability in the Large Scale VPN LSVPN functionality of Palo Alto Networks PAN-OS software enables ...

Palo Alto Networks PAN-OS 10.2.x / 11.1.x / 11.2.x / 12.1.x Vulnerability

The version of Palo Alto Networks PAN-OS running on the remote host is a vulnerable version of 10.2.x, 11.1.x, 11.2.x, or 12.1.x. It is, therefore, affected by a vulnerability. An authentication bypass vulnerability in Large Scale VPN LSVPN functionality of Palo Alto Networks PAN-OS software allo...

FreeType Automated Font Corpus Scanner

This Python framework implements a structured font-analysis pipeline for large-scale robustness testing of FreeType font parsing behavior...

The Fault in Our Drafts: Vulnerabilities in RPKI Specification and Software

The Resource Public Key Infrastructure RPKI secures the Internet's routing system by defining a complex trust and validation framework for certificates, Route Origin Authorizations ROAs, manifests, and Certificate Revocation Lists CRLs. These mechanisms are specified across dozens of RFCs. This...

Ghost CMS CVE-2026-26980 Exploited to Hijack 700+ Sites for ClickFix Attacks

Threat actors are exploiting a recently disclosed critical security flaw in Ghost CMS to inject malicious JavaScript code with an aim to fuel ClickFix attacks. According to QiAnXin XLab, the activity involves the exploitation of CVE-2026-26980 CVSS score: 9.4, an SQL injection vulnerability in...

ADR: An Agentic Detection System for Enterprise Agentic AI Security

We present the Agentic AI Detection and Response ADR system, the first large-scale, production-proven enterprise framework for securing AI agents operating through the Model Context Protocol MCP. We identify three persistent challenges in this domain: 1 limited observability -- existing Endpoint...

Indirect Prompt Injection in the Wild: An Empirical Study of Prevalence, Techniques, and Objectives

As LLMs are increasingly integrated into systems that browse, retrieve, summarize, and act on web content, webpages have become an untrusted input vector for downstream model behavior. This enables site owners, contributors, and adversaries to embed instructions directly in web resources, i.e.,...

VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection

We present VulStyle, a multi-modal software vulnerability detection model that jointly encodes function-level source code, non-terminal Abstract Syntax Tree AST structure, and code stylometry CStyle features. Prior work in code representation primarily leverages token-level models or full AST...

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing

The rapid advancement of Large Language Models LLMs has created new opportunities for Automated Penetration Testing AutoPT, spawning numerous frameworks aimed at achieving end-to-end autonomous attacks. However, despite the proliferation of related studies, existing research generally lacks...

Inside an AI‑enabled device code phishing campaign

In this article 1. Attack chain overview 2. Mitigation and protection guidance 3. Indicators of compromise IOC 4. References 5. Learn more Microsoft Defender Security Research has observed a widespread phishing campaign leveraging the Device Code Authentication flow to compromise organizational...

Debt behind the AI Boom: A Large-Scale Empirical Study of AI-Generated Code in the Wild

AI coding assistants are now widely used in software development. Software developers increasingly integrate AI-generated code into their codebases to improve productivity. Prior studies have shown that AI-generated code may contain code quality issues under controlled settings. However, we still...

Policy-Driven Vulnerability Risk Quantification Framework for Large-Scale Cloud Infrastructure Data Security

The exponential growth of Common Vulnerabilities and Exposures CVE disclosures poses significant challenges for enterprise security management, necessitating automated and quantitative risk assessment methodologies. Existing vulnerability analysis approaches suffer from three critical limitations...

When the Abyss Looks Back: Unveiling Evolving Dark Patterns in Cookie Consent Banners

To comply with data protection regulations such as the EU General Data Protection Regulation GDPR and the California Consumer Privacy Act CCPA, websites widely deploy cookie consent banners to collect users' privacy preferences. In practice, however, these interfaces often embed dark patterns tha...