13567 matches found
MINI-PXM8-8C4G-8V2J
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MINI-49WC-VPM4-VXQQ
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MINI-QG48-G24W-39XV
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MINI-GW6G-869V-HFJP
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MINI-68CP-528V-4M7Q
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MINI-52CR-6VXV-7XGR
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MINI-56PH-364X-Q672
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MINI-VPJ2-9692-23V5
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MINI-M29V-8GFW-49FM
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MINI-966P-H6GF-9RJ9
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MINI-863V-H4PR-VJGP
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MINI-J958-37PF-45XR
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Security Misconfiguration
Apache Airflow is Vulnerable to Security Misconfiguration. The Vulnerability is due to insufficiently clear documentation of the security model, workload isolation, and JWT authentication behavior, which may lead deployment managers to make incorrect assumptions and configure insecure environment...
Incomplete List of Disallowed Inputs
Overview flowise-components is a Flowiseai Components Affected versions of this package are vulnerable to Incomplete List of Disallowed Inputs in the run method of the AirtableAgents class, which evaluates LLM-generated Python scripts in a non-sandboxed environment. An attacker can execute...
HarmChip: Evaluating Hardware Security Centric LLM Safety Via Jailbreak Benchmarking
The integration of large language models LLMs into electronic design automation EDA workflows has introduced powerful capabilities for RTL generation, verification, and design optimization, but also raises critical security concerns. Malicious LLM outputs in this domain pose hardware-level threat...
Enclawed: A Configurable, Sector-Neutral Hardening Framework for Single-User AI Assistant Gateways
We present enclawed, a hard-fork hardening framework built on top of the OpenClaw single-user personal artificial intelligence AI assistant gateway. enclawed targets deployments that need attestable peer trust, deny-by-default external connectivity, signed-module loading, and a tamper-evident aud...
Important: Red Hat Security Advisory: Red Hat AI Inference Server Model Optimization Tools 3.3.1 (CUDA)
Red Hat AI Inference Server Model Optimization Tools 3.3.1 CUDA is now available. Red Hat® AI Inference Server Model Optimization Tools...
Mythos and Cybersecurity
Last week, Anthropic pulled back the curtain on Claude Mythos Preview, an AI model so capable at finding and exploiting software vulnerabilities that the company decided it was too dangerous to release to the public. Instead, access has been restricted to roughly 50 organizations--Microsoft, Appl...
wger 安全漏洞
WGER is an open-source project developed by the WGER Team, built using Django for hosting self-hosted FLOSS fitness/exercise, nutrition, and weight tracking applications. Versions of WGER 2.5 and earlier contained security vulnerabilities. These vulnerabilities stemmed from the attributionlink...