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Roblox's server authority beta is almost here! It prevents clientside hacks by making the server the final decider of what actually happened. You have to provide inputs that the server equally consumes or else the client will mispredict and rollback.

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Max ¯\_(ツ)_/¯

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63,064 просмотров • 7 месяцев назад •via X (Twitter)

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Roblox has officially released Server Authority for all experiences, which is huge. This helps stop exploits like speed hacks by making the server verify player movement instead of trusting the client. Developers can enable it in Roblox Studio starting today. Read more:
0:28

Roblox has officially released Server Authority for all experiences, which is huge. This helps stop exploits like speed hacks by making the server verify player movement instead of trusting the client. Developers can enable it in Roblox Studio starting today. Read more:

RoUtility

55,510 просмотров • 3 дней назад

Server authoritative movement with client prediction and rollback/replay support. In this example, the client exploits by moving a wall out of the way. But the server owns the movement. The client has failed predictions due to the exploit, and rolls back. #RobloxDev
0:44

Server authoritative movement with client prediction and rollback/replay support. In this example, the client exploits by moving a wall out of the way. But the server owns the movement. The client has failed predictions due to the exploit, and rolls back. #RobloxDev

sleitnick

20,523 просмотров • 1 год назад

Heh, someone found the FFlags that enable Roblox's WIP server authorative simulation model on production. It's still a WIP, but it's already really damn cool. No more clientside teleport hacks!
0:34

Heh, someone found the FFlags that enable Roblox's WIP server authorative simulation model on production. It's still a WIP, but it's already really damn cool. No more clientside teleport hacks!

Max ¯\_(ツ)_/¯

34,779 просмотров • 1 год назад

ByBit Hack was completely avoidable! This industry needs to grow up! Veritaseum’s VeADIR Platform (Video: April 2018) Server-less Architecture There is no server, it just exists as computer code. the VeADIR creates a temporary server that is distributed across multiple computers, when there is a need for it, it creates a server, executes the programmable Smart Contracts then destroys itself. Which means in order to hack it, you need to find out where the server is, get through whatever security there is for that server cloud, then actually hack the server itself, and you have to do all that in the 4-5 seconds it is in existence. If you do succeed in doing all that which is unlikely, the only thing you could force it to do is what it was designed to do which was to buy or sell that asset. And, theoretically you’d have to pay the VERI fee to do it.
1:49

ByBit Hack was completely avoidable! This industry needs to grow up! Veritaseum’s VeADIR Platform (Video: April 2018) Server-less Architecture There is no server, it just exists as computer code. the VeADIR creates a temporary server that is distributed across multiple computers, when there is a need for it, it creates a server, executes the programmable Smart Contracts then destroys itself. Which means in order to hack it, you need to find out where the server is, get through whatever security there is for that server cloud, then actually hack the server itself, and you have to do all that in the 4-5 seconds it is in existence. If you do succeed in doing all that which is unlikely, the only thing you could force it to do is what it was designed to do which was to buy or sell that asset. And, theoretically you’d have to pay the VERI fee to do it.

Riz

10,732 просмотров • 1 год назад

If you’re playing on MonkeyTilt, the outcome might already be decided BEFORE you bet “The cryptography behind every bet has always been sound” We tested it It isn’t... we sent two different client seeds for the same nonce same result both times the server is ignoring the client seed entirely the player has ZERO influence on outcomes — what we did — opened the MonkeyTilt provably fair verifier with a revealed server seed entered nonce 1 → got 3.04x changed the client seed same server seed, same nonce → 3.04x changed it again → 3.04x the client seed has ZERO effect on the outcome — why this matters — in a provably fair system the outcome is derived from: -server seed -client seed -nonce the client seed exists so the player contributes randomness the server CAN’T predict if it’s ignored the server knows every outcome BEFORE you bet the hash commitment proves nothing because the server already controls all the inputs — not a frontend bug — we checked the network traffic the verifier sends a WebSocket request with: -client seed -server seed -nonce the server receives different client seeds and returns the same result anyway request 1 → client_seed “Clientseed123456789” → 3.04x request 2 → client_seed “NEWSEED12345” → 3.04x this is the server ignoring input not a display issue — live bet traffic — placing a Limbo bet returns: -random_multiplier -total_payout -round_closed that’s it no hash no seed reference no nonce no proof seeds are fetched from a separate endpoint game engine and seed system are DISCONNECTED — nonce verification — you can only verify nonces you’ve already played in a real system all outcomes are predetermined once the server seed is committed - they’re deterministic blocking future nonces suggests results don’t exist until you bet — summary — -client seed ignored by server -no cryptographic proof in bet responses -game engine and seed system DISCONNECTED -nonce verification restricted this isn’t provably fair it looks like provably fair UI on top of server side RNG MonkeyTilt should probably address this anyone can verify this themselves in 60 seconds - open the verifier, change the client seed, watch the result stay the same
0:46

If you’re playing on MonkeyTilt, the outcome might already be decided BEFORE you bet “The cryptography behind every bet has always been sound” We tested it It isn’t... we sent two different client seeds for the same nonce same result both times the server is ignoring the client seed entirely the player has ZERO influence on outcomes — what we did — opened the MonkeyTilt provably fair verifier with a revealed server seed entered nonce 1 → got 3.04x changed the client seed same server seed, same nonce → 3.04x changed it again → 3.04x the client seed has ZERO effect on the outcome — why this matters — in a provably fair system the outcome is derived from: -server seed -client seed -nonce the client seed exists so the player contributes randomness the server CAN’T predict if it’s ignored the server knows every outcome BEFORE you bet the hash commitment proves nothing because the server already controls all the inputs — not a frontend bug — we checked the network traffic the verifier sends a WebSocket request with: -client seed -server seed -nonce the server receives different client seeds and returns the same result anyway request 1 → client_seed “Clientseed123456789” → 3.04x request 2 → client_seed “NEWSEED12345” → 3.04x this is the server ignoring input not a display issue — live bet traffic — placing a Limbo bet returns: -random_multiplier -total_payout -round_closed that’s it no hash no seed reference no nonce no proof seeds are fetched from a separate endpoint game engine and seed system are DISCONNECTED — nonce verification — you can only verify nonces you’ve already played in a real system all outcomes are predetermined once the server seed is committed - they’re deterministic blocking future nonces suggests results don’t exist until you bet — summary — -client seed ignored by server -no cryptographic proof in bet responses -game engine and seed system DISCONNECTED -nonce verification restricted this isn’t provably fair it looks like provably fair UI on top of server side RNG MonkeyTilt should probably address this anyone can verify this themselves in 60 seconds - open the verifier, change the client seed, watch the result stay the same

CoinBets🔍

20,973 просмотров • 3 месяцев назад

In LiveView, we keep the state in one place - the server - and it simplifies a lot. But sometimes the state on the client is preferred, or even necessary, and we can't use LiveView for that part. Unless we have a LiveView that runs on the client 👀 Using Popcorn, we managed to run LiveView fully in the browser – here's a POC 🎉 The approach is to have a fully client-side LiveView rendered by a server-side one, and they can communicate with each other. Try it out:
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In LiveView, we keep the state in one place - the server - and it simplifies a lot. But sometimes the state on the client is preferred, or even necessary, and we can't use LiveView for that part. Unless we have a LiveView that runs on the client 👀 Using Popcorn, we managed to run LiveView fully in the browser – here's a POC 🎉 The approach is to have a fully client-side LiveView rendered by a server-side one, and they can communicate with each other. Try it out:

Elixir by Software Mansion

13,509 просмотров • 6 месяцев назад

So here is new local privilege escalation zero-day I discovered, not patched yet too :). In simple terms, if you have a service like RDP that exposes an RPC server, there many system services running as SYSTEM connect to it as RPC clients. If that service is turned off (RDP is off by default), it seems that any other process in Windows can expose the same RPC server using the same endpoint. Now all the RPC calls from that SYSTEM processes will come to this fake server and If the process that deployed the server has SeImpersonatePrivilege, it can escalate to SYSTEM by impersonate the RPC client. In the white paper below, I describe five exploit paths you can abuse. However it's architecture problem and maybe there are more. It's Not A Potato
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So here is new local privilege escalation zero-day I discovered, not patched yet too :). In simple terms, if you have a service like RDP that exposes an RPC server, there many system services running as SYSTEM connect to it as RPC clients. If that service is turned off (RDP is off by default), it seems that any other process in Windows can expose the same RPC server using the same endpoint. Now all the RPC calls from that SYSTEM processes will come to this fake server and If the process that deployed the server has SeImpersonatePrivilege, it can escalate to SYSTEM by impersonate the RPC client. In the white paper below, I describe five exploit paths you can abuse. However it's architecture problem and maybe there are more. It's Not A Potato

Haidar

50,933 просмотров • 2 месяцев назад

opencode's client/server architecture is important we're making quick server management smoother
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opencode's client/server architecture is important we're making quick server management smoother

David Hill

64,317 просмотров • 5 месяцев назад

Server Authority is now available for all creators. Block physics-based exploits like speed hacks without custom anti-cheat code, while prediction and rollback help preserve a responsive player experience. Learn more on the #RobloxDev forum.
0:32

Server Authority is now available for all creators. Block physics-based exploits like speed hacks without custom anti-cheat code, while prediction and rollback help preserve a responsive player experience. Learn more on the #RobloxDev forum.

Roblox

641,794 просмотров • 3 дней назад

Welcome to District Civilization SMP! Here is some info about the server and how it will run!
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Welcome to District Civilization SMP! Here is some info about the server and how it will run!

District civilization

19,350 просмотров • 8 месяцев назад

Beta testing for my new RPG server starts today! For now, it is aimed at a Russian-speaking audience. And yes, I created almost all the models myself. #minecraft #blockbench #server #rpg
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Beta testing for my new RPG server starts today! For now, it is aimed at a Russian-speaking audience. And yes, I created almost all the models myself. #minecraft #blockbench #server #rpg

homoxid5🇺🇦

16,889 просмотров • 8 дней назад

If you want to be able to call server functions from the client, RPC is often the move. The Bun + Better Call combo gets you a fullstack solution in very little code. Server, Client, bundling and HMR 👌 had to record a little video showing the setup
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If you want to be able to call server functions from the client, RPC is often the move. The Bun + Better Call combo gets you a fullstack solution in very little code. Server, Client, bundling and HMR 👌 had to record a little video showing the setup

Wes Bos

103,642 просмотров • 8 месяцев назад

vibe coding is actually really great if you know what you're doing just set up a way to dynamically reload the client and server logic without having any of the users have to refresh their page i am making vibe coding infrastructure so i can live code while people play
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vibe coding is actually really great if you know what you're doing just set up a way to dynamically reload the client and server logic without having any of the users have to refresh their page i am making vibe coding infrastructure so i can live code while people play

kache

111,404 просмотров • 1 год назад

Those who serve or have served at the altar can testify that learning how to use the thurible is one of the most difficult tasks of an altar server and now, seeing this young altar server handle the thurible like a pro is just heartwarming❤️
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Those who serve or have served at the altar can testify that learning how to use the thurible is one of the most difficult tasks of an altar server and now, seeing this young altar server handle the thurible like a pro is just heartwarming❤️

Ugochukwu Ugwoke, ISch

15,069 просмотров • 1 год назад

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!
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New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,010 просмотров • 1 год назад

React tip: "use client" misconceptions (2/5) 🚫 "You cannot nest Server Components inside Client Components because "use client" turns everything into Client Components." ✅ We can pass the rendered result of Server Components to Client Components as props. Simple example: (Server Component) (Client Component) (Server Component) is designed for the client. It needs to instantly open and close when clicked. is designed for the server. It uses packages that don't work in the browser and needs to fetch data close to where it's stored without exposing credentials. So, how can we nest a component that uses server APIs inside a component that uses client APIs... without using `import`? React props to the rescue! --- (0:00) 1-4: Reminder: Importing code forms a module dependency graph. Adding dependencies to a server or client bundle. (0:23) 5-6: Reminder: Using components eventually forms a rendered component tree. (0:37) 9: Oh no! We get an error when trying to `import` a client API (useState) into a server module. (0:44) 10: We know the trick by now: Add "use client" to mark `2.js` as a client entry point. This moves the module to the client bundle and allows us to use client APIs like `useState.` (0:51) 11: But we get a new error! "use client" moved all imported dependencies into the client bundle, including our ORM package, which doesn't work in the browser. (0:59) 13: Let's refactor without changing our rendered component hierarchy. First, we move the `Cart` import to the parent file that imports `Modal`. This moves `Cart` outside the "use client" boundary and consequently the client bundle. (1:11) 15: Then, we pass down the rendered result of `Cart` as a prop to `Modal`. This allows `Cart` to be entirely rendered on the server as a Server Component before being passed down. `Modal` has no knowledge of what the `cart` prop is. Its only responsibility is placing whatever it receives into the `{cart}` slot. (1:15) 16: Finally, it's common to use the special `children` prop for a component's primary content. The key insight is that we were able to use props to retain our desired component hierarchy even though we changed our module dependency graph.
1:24

React tip: "use client" misconceptions (2/5) 🚫 "You cannot nest Server Components inside Client Components because "use client" turns everything into Client Components." ✅ We can pass the rendered result of Server Components to Client Components as props. Simple example: (Server Component) (Client Component) (Server Component) is designed for the client. It needs to instantly open and close when clicked. is designed for the server. It uses packages that don't work in the browser and needs to fetch data close to where it's stored without exposing credentials. So, how can we nest a component that uses server APIs inside a component that uses client APIs... without using `import`? React props to the rescue! --- (0:00) 1-4: Reminder: Importing code forms a module dependency graph. Adding dependencies to a server or client bundle. (0:23) 5-6: Reminder: Using components eventually forms a rendered component tree. (0:37) 9: Oh no! We get an error when trying to `import` a client API (useState) into a server module. (0:44) 10: We know the trick by now: Add "use client" to mark `2.js` as a client entry point. This moves the module to the client bundle and allows us to use client APIs like `useState.` (0:51) 11: But we get a new error! "use client" moved all imported dependencies into the client bundle, including our ORM package, which doesn't work in the browser. (0:59) 13: Let's refactor without changing our rendered component hierarchy. First, we move the `Cart` import to the parent file that imports `Modal`. This moves `Cart` outside the "use client" boundary and consequently the client bundle. (1:11) 15: Then, we pass down the rendered result of `Cart` as a prop to `Modal`. This allows `Cart` to be entirely rendered on the server as a Server Component before being passed down. `Modal` has no knowledge of what the `cart` prop is. Its only responsibility is placing whatever it receives into the `{cart}` slot. (1:15) 16: Finally, it's common to use the special `children` prop for a component's primary content. The key insight is that we were able to use props to retain our desired component hierarchy even though we changed our module dependency graph.

Delba

43,989 просмотров • 2 лет назад

A British woman visiting the States went to a restaurant and told her server, 'I love America, it's amazing here.' Her server replied, 'Are you being sarcastic?' She finds it weird that people will say that when this is an amazing country.
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A British woman visiting the States went to a restaurant and told her server, 'I love America, it's amazing here.' Her server replied, 'Are you being sarcastic?' She finds it weird that people will say that when this is an amazing country.

Goofies Of Chicago

11,957 просмотров • 2 месяцев назад