Description of the security update for SharePoint Server 2016 Language Pack: June 9, 2026 (KB5002881)

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The Human Vulnerabilities and Exploits (HVE) Framework

The cybersecurity community has invested over two decades in building standardized frameworks, the Common Vulnerabilities and Exposures CVE system, the Common Vulnerability Scoring System CVSS, and the Common Weakness Enumeration CWE to identify, classify, and remediate threats to digital...

Data Agents under Attack: Vulnerabilities in LLM-Driven Analytical Systems

Data agents integrate LLM-driven reasoning with relational data access, executable analytical tools, and multi-step workflow orchestration, making them increasingly central to enterprise analytics. This integration introduces new security vulnerabilities across data resources, database execution,...

CVE-2026-1673

The BEAR – Bulk Editor and Products Manager Professional for WooCommerce by Pluginus.Net plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 1.1.5. This is due to missing nonce validation on the woobedeletetaxterm function. This makes it possible...

CVE-2026-4128

The TP Restore Categories And Taxonomies plugin for WordPress is vulnerable to Missing Authorization in all versions up to, and including, 1.0.1. The deleteterm function, which handles the 'tpmcatttdeleteterm' AJAX action, does not perform any capability check e.g., currentusercan to verify the...

Updating the taxonomy of failure modes in agentic AI systems: What a year of red teaming taught us

In this article 1. Why the Taxonomy Needed Updating 2. Seven new failure modes 3. Operational findings: What red teaming showed 4. New mitigations 5. What to do this quarter When the Microsoft AI Red Team published the Taxonomy of Failure Modes in Agentic AI Systems in April 2025, the goal was a...

Bastet: A Fine-Grained Expert-Labeled Dataset for DeFi Smart Contract Vulnerability Detection

Smart contract vulnerabilities in Decentralized Finance DeFi protocols resulted in over 1.49 billion USD in confirmed losses in 2024 alone, across 192 incidents 1. As LLM-based vulnerability detection emerges as a promising approach to address these threats, the quality of evaluation datasets has...

AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

Modern open-world agents such as OpenClaw exhibit powerful cross-environment execution capabilities yet introduce broad new safety risk sources. Meanwhile, advanced frontier AI models drastically lower attack barriers, rendering current agent alignment frameworks inadequate for real-world...

Technical Report: Exploring the Emerging Threats of the Agent Skill Ecosystem

We analyzed 3,984 AI agent skills from major marketplaces and found 76 confirmed malicious payloads, including credential theft, backdoor installation, and data exfiltration. 13.4% of all skills contain at least one critical-level security issue and at least 8 manually confirmed malicious skills...

CVE-2026-4093

A flaw was found in the Drupal 7 Term Reference Tree module. This vulnerability, a type of stored Cross-Site Scripting XSS, allows an authenticated attacker with permissions to edit or create taxonomy terms to inject malicious scripts. These scripts can execute when a user views a form containing...

EUVD-2026-31377

In the Drupal 7 Term Reference Tree module, two stored XSS vectors exist in the widget/formatter rendering pipeline. Vector A token display templates: When the Token module is enabled and token display templates are configured, attacker-controlled token output e.g., term description is rendered...

CVE-2026-4093

In the Drupal 7 Term Reference Tree module, two stored XSS vectors exist in the widget/formatter rendering pipeline. Vector A token display templates: When the Token module is enabled and token display templates are configured, attacker-controlled token output e.g., term description is rendered...

CVE-2026-4093 Stored XSS in Drupal 7 Term Reference Tree module (token display templates and term labels)

In the Drupal 7 Term Reference Tree module, two stored XSS vectors exist in the widget/formatter rendering pipeline. Vector A token display templates: When the Token module is enabled and token display templates are configured, attacker-controlled token output e.g., term description is rendered...

CVE-2026-4093

CVE-2026-4093 is a stored XSS in the Drupal 7 Term Reference Tree module affecting versions up to and including 7.x-1.11. Two vectors are described: Vector A (token display templates): attacker-controlled token output (e.g., term description) is rendered without proper sanitization when the Token...

CVE-2026-4093 Stored XSS in Drupal 7 Term Reference Tree module (token display templates and term labels)

In the Drupal 7 Term Reference Tree module, two stored XSS vectors exist in the widget/formatter rendering pipeline. Vector A token display templates: When the Token module is enabled and token display templates are configured, attacker-controlled token output e.g., term description is rendered...

Refusal Evaluation in Coding LLMs and Code Agents: A Systematic Review of Thirteen Malicious-Code Prompt Corpora (2023-2025)

The evaluation of large language model refusal on malicious-coding tasks now spans at least thirteen publicly released prompt corpora AdvBench, the CyberSecEval family, RMCBench, RedCode, MCGMark, JailbreakBench, CySecBench, MalwareBench, CIRCLE, MOCHA, ASTRA, Scam2Prompt / Innoc2Scam-bench, and...

Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt Engineering Quality Assurance

Prompt specifications for multi-agent large language model LLM systems carry data contracts and integration logic across many interdependent files but are rarely subjected to structured-inspection rigor. This paper reports a single-system empirical case study of iterative, agent-driven auditing...

Do Skill Descriptions Tell the Truth? Detecting Undisclosed Security Behaviors in Code-Backed LLM Skills

Programmatic skills in LLM ecosystems consist of a natural-language description and executable implementation files. Users and LLMs rely on the description to understand the skill's scope. However, the implementation may perform security-relevant operations, such as credential access, network...

Behavioral Integrity Verification for AI Agent Skills

Agent skills extend LLM agents with privileged third-party capabilities such as filesystem access, credentials, network calls, and shell execution. Existing safety work catches malicious prompts and risky runtime actions, but the skill artifact itself goes unverified. We formalize this as the...

CVE-2026-42842

CVE-2026-42842: Stored XSS in Grav Form plugin (select field) where taxonomy values render via Twig |raw in admin pages, enabling an editor-level user to inject JavaScript that runs in admins’ browsers when viewing/editing pages. Affects Grav CMS Form plugin’s select.html.twig handling and global...