CVE-2026-44562

Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to 0.9.0, the POST /api/v1/models/import endpoint allows users with the workspace.modelsimport permission to overwrite any existing model in the database, regardless of ownership. When an...

CVE-2026-44223

vLLM is an inference and serving engine for large language models LLMs. From to before 0.20.0, the extracthiddenstates speculative decoding proposer in vLLM returns a tensor with an incorrect shape after the first decode step, causing a RuntimeError that crashes the EngineCore process. The crash ...

CVE-2026-45006

OpenClaw before 2026.4.23 contains an improper access control vulnerability in the gateway tool's config.apply and config.patch operations that allows compromised models to write unsafe configuration changes by bypassing an incomplete denylist protection. Attackers can persist malicious config...

CVE-2026-35087

Slican telephone exchanges allow administrative protocol authentication bypass. An attacker can bypass the need to enter login credentials by executing the appropriate command. This issue was fixed in versions below: - NCP: version 1.24.0250 - IPx series: version 6.61.0040 - CCT-1668: version...

Only 10% of SOCs Say They’re Getting Excellent Value From AI. Here’s What the Second Wave Has to Deliver

Eighteen months ago, the AI SOC was a marketing line. Today it's a budget item. The category has crossed over from interesting to inevitable, with billions of dollars now flowing into AI-powered security operations platforms, agentic SOC tools, and AI co-pilots built into every layer of the...

RecurGuard: Runtime Monitoring for Reasoning-Token Consumption Attacks

Reasoning-capable large language models can be induced to spend their generation budget on injected decoy tasks rather than answering the user's question, causing denial of service when no final answer is produced and denial of wallet when excess output tokens are billed. Input-side safety...

Empirical Evaluation of Large Language Models for Migration of Code Fragments to Post-Quantum Cryptography

The transition to post-quantum cryptography PQC requires not only replacing vulnerable cryptographic primitives, but also refactoring the surrounding software logic. While existing PQC migration frameworks provide organizational guidance, practical code-level remediation remains largely manual an...

Winning the cyber marathon with Tony Giandomenico

In the high-speed world of cybersecurity, the difference between a breach and a breakthrough often comes down to endurance. Tony Giandomenico, Senior Director of Product Management with Cisco Talos, joins me to discuss how he balances the intensity of leading major product launches with the...

EUVD-2026-34276

An undocumented debug CGI endpoint in T3 Technology CPE models T625Pro v1.0.07, T6825G v1.0.03 allows unauthenticated attackers to execute arbitrary system commands as root via supplying a crafted HTTP query string...

CVE-2026-35905

T3 Technology CPE models T625Pro v1.0.07, T6825G v1.0.03, and T7281 v1.0.03 were discovered to contain a hardcoded password for root access under the "superadmin" account...

CVE-2026-35906

An undocumented debug CGI endpoint in T3 Technology CPE models T625Pro v1.0.07, T6825G v1.0.03 allows unauthenticated attackers to execute arbitrary system commands as root via supplying a crafted HTTP query string...

Steering LLM Viewpoints through Fabricated Evidence Injection

As chatbots increasingly influence daily decision-making, their potential to produce misleading responses poses substantial risks to users. This paper investigates a critical cognitive vulnerability in LLMs: their tendency to uncritically trust external context when presented with fabricated...

Revisiting Vul-RAG: Reproducibility and Replicability of RAG-Based Vulnerability Detection with Open-Weight Models

Large language models LLMs have shown strong potential for automated software vulnerability detection, particularly in retrieval-augmented generation RAG settings. However, for approaches relying on proprietary models and APIs, reproducibility and replicability remain largely unexplored, raising...

SHIELDS: Automating OS Hardening with Iterative Multi-Agent Remediation

Security misconfigurations remain a leading cause of OS-level compromise, and manually keeping systems compliant with standards like Defense Information Systems Agency DISA Security Technical Implementation Guides STIGs is a tedious and expensive process. Existing compliance automation tools can...

Microsoft Build 2026: Securing code, agents, and models across the development lifecycle

In this article 1. Secure your code 2. Secure your agents 3. Trust agents with your data 4. Secure your models 5. Trust starts with security Today, developers and security teams are caught in growing tension. AI is accelerating development and introducing new issues around insecure code, opaque...

CVE-2026-47117 OpenMed < 1.5.2 Remote Code Execution via PII Model Loading

OpenMed before 1.5.2 contains a remote code execution vulnerability in the PII privacy-filter model loading path. The privacy-filter dispatcher used broad substring matching on the user-supplied modelname parameter, allowing a value such as attacker/foo-privacy-filter-bar to route through a path...

Backdoor Unlearning Generalization: A Path toward the Removal of Unknown Triggers in LLMs

Backdoor attacks in Large Language Models LLMs are a growing security concern, where models can generate adversary-chosen content. Existing defenses target backdoors one at a time and typically require knowledge of the trigger, leaving the defender at a structural disadvantage when unknown...

Towards Intrusion Detection Systems for RPL-Based IoT Networks Using Foundation Models

AI-based intrusion detection systems IDS have shown promise in detecting attacks on IoT systems. In this work, we explore the use of foundation models to detect and identify attacks, with a specific focus on RPL-based IoT networks. We study multiple attack types, attack variations, and network...

Dräger SC Monitoring devices 信任管理问题漏洞

The Dräger SC Monitoring devices are a series of clinical vital signs monitoring devices produced by the German company Dräger. The Dräger SC Monitoring devices have a vulnerability related to trust management. This vulnerability stems from hard-coded plaintext credentials in the source code, alo...

CVE-2026-0826: Critical unauthenticated stack buffer overflow in HP Poly VVX and Trio VoIP Phones (FIXED)

Overview Rapid7 Labs conducted a zero-day research project against an HP Poly VVX 450 Voice over Internet Protocol VoIP phone. This research resulted in the discovery of a critical unauthenticated stack-based buffer overflow vulnerability, CVE-2026-0826. A remote attacker can leverage CVE-2026-08...