4501 matches found
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...
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...
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...
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...
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...
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...
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...
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...
CVE-2026-0826: How an Old Bug Can Feed AI-Powered Impersonation
One of the more persistent myths in security is that old bug classes become old problems. They don’t. They just show up in different places, under different conditions, and usually at the exact moment we’ve convinced ourselves not to pay attention to them. That’s part of what makes enterprise voi...
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...
DEBIAN-CVE-2026-10230
A vulnerability was identified in Assimp up to 6.0.4. This impacts the function Assimp::MDL::HalfLife::HL1MDLLoader::readanimations of the file HL1MDLLoader.cpp of the component Half-Life 1 MDL Loader. Such manipulation leads to heap-based buffer overflow. The attack must be carried out locally...
Cross-Vendor Sola ISPM Benchmark: Evaluating Agentic AI for Federated Identity Security Reasoning
The rapid proliferation of multi-cloud and SaaS platforms has transformed Identity Security Posture Management ISPM into a fundamentally cross-vendor challenge: critical misconfigurations and privilege escalation paths increasingly span multiple identity providers, infrastructure layers, and...
MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models
Diffusion large language models dLLMs generate text by iteratively denoising partially masked sequences under bidirectional context, exposing a safety surface distinct from autoregressive LLMs. Because mask tokens are native inputs and tokens are committed by confidence rather than position,...
Patcher: Post-Hoc Patching of Backdoored Large Language Models
Large language models remain vulnerable to jailbreak backdoor attacks, where adversaries poison safety alignment data to embed hidden triggers that bypass safety mechanisms. Existing defenses often require comprehensive attack information or multiple triggered examples, making them impractical wh...
