5061 matches found
EUVD-2026-20928
A security flaw has been discovered in GL.iNet GL-RM1, GL-RM10, GL-RM10RC and GL-RM1PE 1.8.1. Affected by this issue is some unknown functionality of the component Factory Reset Handler. Performing a manipulation results in improper authentication. The attack can be initiated remotely. The...
ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.
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wasmtime 安全漏洞
Wasmtime is a lightweight WebAssembly runtime open source by the Bytecode Alliance. Versions prior to 24.0.7, 36.0.7, 42.0.2, and 43.0.1 of Wastime contain security vulnerabilities. These vulnerabilities arise when using the Val type promotion feature to increase values of component models. If bi...
CVE-2025-63238: Improper Neutralization of Input During Web Page Generation
A Reflected Cross-Site Scripting XSS affects LimeSurvey versions prior to 6.15.11+250909, due to the lack of validation of gid parameter in getInstance function in application/models/QuestionCreate.php. This allows an attacker to craft a malicious URL and compromise the logged in user...
CVE-2026-5815
A vulnerability was detected in D-Link DIR-645 1.01/1.02/1.03. Impacted is the function hedwigcgimain of the file /cgi-bin/hedwig.cgi. The manipulation results in stack-based buffer overflow. The attack can be launched remotely. The exploit is now public and may be used. This vulnerability only...
Allocation of Resources Without Limits or Throttling
Overview react-server-dom-parcel is a React Server Components bindings for DOM using Parcel. This is intended to be integrated into meta-frameworks. It is not intended to be imported directly. Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling...
Allocation of Resources Without Limits or Throttling
Overview react-server-dom-turbopack is a React Server Components bindings for DOM using Turbopack. This is intended to be integrated into meta-frameworks. It is not intended to be imported directly. Affected versions of this package are vulnerable to Allocation of Resources Without Limits or...
LobeHub: Unauthenticated authentication bypass on `webapi` routes via forgeable `X-lobe-chat-auth` header
Summary The webapi authentication layer trusts a client-controlled X-lobe-chat-auth header that is only XOR-obfuscated, not signed or otherwise authenticated. Because the XOR key is hardcoded in the repository, an attacker can forge arbitrary auth payloads and bypass authentication on protected...
GHSA-5MWJ-V5JW-5C97 LobeHub: Unauthenticated authentication bypass on `webapi` routes via forgeable `X-lobe-chat-auth` header
Summary The webapi authentication layer trusts a client-controlled X-lobe-chat-auth header that is only XOR-obfuscated, not signed or otherwise authenticated. Because the XOR key is hardcoded in the repository, an attacker can forge arbitrary auth payloads and bypass authentication on protected...
PT-2026-31562
Open AI models detect vulnerabilities by analyzing code, configs, and system behavior step-by-step—like spotting the FreeBSD zero-day CVE-2024-47467 in the Mythos showcase. Even a 3B open model nailed it, matching bigger ones. The chart shows rankings flip across tasks: OWASP easy stuff vs. gnarl...
EUVD-2026-19671
text-generation-webui is an open-source web interface for running Large Language Models. Prior to 4.3, he superbooga and superboogav2 RAG extensions fetch user-supplied URLs via requests.get with zero validation — no scheme check, no IP filtering, no hostname allowlist. An attacker can access clo...
CVE-2025-52908
An issue was discovered in the Wi-Fi driver in Samsung Mobile Processor and Wearable Processor Exynos 980, 850, 1280, 1330, 1380, 1480, 1580, W920, W930, and W1000. Incorrect Handling of the NL80211 vendor command leads to a buffer overflow via a certain ioctl message, issue 1 of 2...
Stealthy and Adjustable Text-Guided Backdoor Attacks on Multimodal Pretrained Models
Multimodal pretrained models are vulnerable to backdoor attacks, yet most existing methods rely on visual or multimodal triggers, which are impractical since visually embedded triggers rarely occur in real-world data. To overcome this limitation, we propose a novel Text-Guided Backdoor TGB attack...
CVE-2025-52909
An issue was discovered in the Wi-Fi driver in Samsung Mobile Processor and Wearable Processor Exynos 980, 850, 1280, 1330, 1380, 1480, 1580, W920, W930, and W1000. Incorrect Handling of the NL80211 vendor command leads to a buffer overflow via a certain ioctl message, issue 2 of 2...
Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts
The deployment of large language models LLMs in Swiss financial and regulatory contexts demands empirical evidence of both production reliability and adversarial security, dimensions not jointly operationalized in existing Swiss-focused evaluation frameworks. This paper introduces Swiss-Bench 003...
Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw
OpenClaw, the most widely deployed personal AI agent in early 2026, operates with full local system access and integrates with sensitive services such as Gmail, Stripe, and the filesystem. While these broad privileges enable high levels of automation and powerful personalization, they also expose...
Stop Fixating on Prompts: Reasoning Hijacking and Constraint Tightening for Red-Teaming LLM Agents
With the widespread application of LLM-based agents across various domains, their complexity has introduced new security threats. Existing red-team methods mostly rely on modifying user prompts, which lack adaptability to new data and may impact the agent's performance. To address the challenge,...
From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems
Cyber-physical systems often contend with incomplete architectural documentation or outdated information resulting from legacy technologies, knowledge management gaps, and the complexity of integrating diverse subsystems over extended operational lifecycles. This architectural incompleteness...
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...
CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments
The advancement of Large Language Models LLMs has raised concerns regarding their dual-use potential in cybersecurity. Existing evaluation frameworks overwhelmingly focus on Information Technology IT environments, failing to capture the constraints, and specialized protocols of Operational...