«Mass Scanning Targets Exposed Vite Servers to Steal AWS Keys and Azure Tokens:
[…] Honeynet telemetry recorded 807 session-grouped attacks and approximately 32,000 raw events during the monthly analysis period. […]»
It is becoming more and more that passwords / passkeys are not stolen or hacked, are their generated tokens. Many of them, in my opinion, say too much about the users and their use.
🧑💻
Critical Mass is gonna be lit, though. 🔥👻🚴♀️
#onpoli #BikeTooter #biketo #halloween
Check out today's Metacurity for the most critical infosec developments you may have missed since Friday, including
--OpenAI missed rogue agent,
--Hugging Face breach reshapes open-v-closed AI,
--Firms abandon AI lab loyalty,
--Open-weight AI's Kubernetes moment
--China pushes open-weight AI,
--Washington splits on Chinese AI,
--N. Korea expands its intelligence apparatus,
--Hackers hijack hotel Wi-Fi to steal Microsoft 365 accounts,
--DOJ tests privacy limits with GrapheneOS prosecution,
--Malware found in Steam’s biggest indie game,
--Google unveils a simpler threat actor naming scheme,
--Dutch Olympic speed skating venue hit by The Gentlemen,
--Tribeca Festival leak exposed celebrity contact information,
--Companies return to entry-level human hiring in the AI era,
--Comic-Con bans Meta smart glasses,
--AI guardrails fail on mass-casualty prompt
https://www.metacurity.com/ai-watch-openais-hacking-agent-breach-signals-a-fracturing-ai-order/
Discrete Boltzmann model at Burnett level for compressible multicomponent flows under external forces
Demei Li, Huilin Lai, Chuandong Lin, Suni Chen
https://arxiv.org/abs/2607.20029 https://arxiv.org/pdf/2607.20029 https://arxiv.org/html/2607.20029
arXiv:2607.20029v1 Announce Type: new
Abstract: This work extends the Burnett-level discrete Boltzmann model (DBM) from single-component to multicomponent compressible flows under external forces, building on the fundamental framework of the high-precision discrete kinetic method. A high-isotropy 25-discrete-velocity set is adopted to guarantee numerical stability and spatial symmetry, while a rigorous moment-matching strategy is developed to construct the equilibrium distribution function and external force term. Different from the single-component counterpart, the present model intrinsically incorporates interspecies mass diffusion effects and multi-component thermodynamic nonequilibrium behaviors, which are critical for complex compressible multicomponent systems. The Chapman--Enskog expansion verifies that the proposed model can exactly recover the Burnett-level governing equations for forced multicomponent compressible flows in the continuum limit. Five canonical benchmark cases, including multicomponent mass diffusion, compressible Sod shock tube, thermal Couette flow, Kelvin--Helmholtz instability, and Rayleigh--Taylor instability, are systematically performed. Numerical results demonstrate that the developed Burnett-level multicomponent DBM achieves high accuracy and robustness in capturing both hydrodynamic evolution and multicomponent nonequilibrium characteristics under external forces.
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