An MCP server portal centralizes multiple Model Context Protocol (MCP) servers onto a single HTTP endpoint. Key benefits include:
Streamlined access to multiple MCP servers: MCP server portals support both unauthenticated MCP servers as well as MCP servers secured using any third-party or custom OAuth provider. Users log in to the portal URL through Cloudflare Access and are prompted to authenticate separately to each server that requires OAuth.
Customized tools per portal: Admins can tailor an MCP portal to a particular use case by choosing the specific tools and prompt templates that they want to make available to users through the portal. This allows users to access a curated set of tools and prompts — the less external context exposed to the AI model, the better the AI responses tend to be.
Observability: Once the user's AI agent is connected to the portal, Cloudflare Access logs the individual requests made using the tools in the portal.
This is available in an open beta for all customers across all plans! For more information check out our blog ↗ for this release.
You can now list all vector identifiers in a Vectorize index using the new list-vectors operation. This enables bulk operations, auditing, and data migration workflows through paginated requests that maintain snapshot consistency.
The operation is available via Wrangler CLI and REST API. Refer to the list-vectors best practices guide for detailed usage guidance.
Cloudflare Secrets Store is now integrated with AI Gateway, allowing you to store, manage, and deploy your AI provider keys in a secure and seamless configuration through Bring Your Own Key ↗. Instead of passing your AI provider keys directly in every request header, you can centrally manage each key with Secrets Store and deploy in your gateway configuration using only a reference, rather than passing the value in plain text.
You can now create a secret directly from your AI Gateway in the dashboard ↗ by navigating into your gateway -> Provider Keys -> Add.
You now have access to a comprehensive suite of capabilities to secure your organization's use of generative AI. AI prompt protection introduces four key features that work together to provide deep visibility and granular control.
Prompt Detection for AI Applications
DLP can now natively detect and inspect user prompts submitted to popular AI applications, including Google Gemini, ChatGPT, Claude, and Perplexity.
Prompt Analysis and Topic Classification
Our DLP engine performs deep analysis on each prompt, applying topic classification. These topics are grouped into two evaluation categories:
Content: PII, Source Code, Credentials and Secrets, Financial Information, and Customer Data.
Intent: Jailbreak attempts, requests for malicious code, or attempts to extract PII.
To help you apply these topics quickly, we have also released five new predefined profiles (for example, AI Prompt: AI Security, AI Prompt: PII) that bundle these new topics.
Granular Guardrails
You can now build guardrails using Gateway HTTP policies with application granular controls. Apply a DLP profile containing an AI prompt topic detection to individual AI applications (for example, ChatGPT) and specific user actions (for example, SendPrompt) to block sensitive prompts.
Full Prompt Logging
To aid in incident investigation, an optional setting in your Gateway policy allows you to capture prompt logs to store the full interaction of prompts that trigger a policy match. To make investigations easier, logs can be filtered by conversation_id, allowing you to reconstruct the full context of an interaction that led to a policy violation.
AI prompt protection is now available in open beta. To learn more about it, read the blog ↗ or refer to AI prompt topics.
This week, critical vulnerabilities were disclosed that impact widely used open-source infrastructure, creating high-risk scenarios for code execution and operational disruption.
Key Findings
Apache HTTP Server – Code Execution (CVE-2024-38474): A flaw in Apache HTTP Server allows attackers to achieve remote code execution, enabling full compromise of affected servers. This vulnerability threatens the confidentiality, integrity, and availability of critical web services.
Laravel (CVE-2024-55661): A security flaw in Laravel introduces the potential for remote code execution under specific conditions. Exploitation could provide attackers with unauthorized access to application logic and sensitive backend data.
Impact
These vulnerabilities pose severe risks to enterprise environments and open-source ecosystems. Remote code execution enables attackers to gain deep system access, steal data, disrupt services, and establish persistent footholds for broader intrusions. Given the widespread deployment of Apache HTTP Server and Laravel in production systems, timely patching and mitigation are critical.
JavaScript asset responses have been updated to use the text/javascript Content-Type header instead of application/javascript. While both MIME types are widely supported by browsers, the HTML Living Standard explicitly recommends text/javascript as the preferred type going forward.
This change improves:
Standards alignment: Ensures consistency with the HTML spec and modern web platform guidance.
Interoperability: Some developer tools, validators, and proxies expect text/javascript and may warn or behave inconsistently with application/javascript.
Future-proofing: By following the spec-preferred MIME type, we reduce the risk of deprecation warnings or unexpected behavior in evolving browser environments.
Consistency: Most frameworks, CDNs, and hosting providers now default to text/javascript, so this change matches common ecosystem practice.
Because all major browsers accept both MIME types, this update is backwards compatible and should not cause breakage.
Users will see this change on the next deployment of their assets.
Workers KV has completed rolling out performance improvements across all KV namespaces, providing a significant latency reduction on read operations for all KV users. This is due to architectural changes to KV's underlying storage infrastructure, which introduces a new metadata later and substantially improves redundancy.
Performance improvements
The new hybrid architecture delivers substantial latency reductions throughout Europe, Asia, Middle East, Africa regions. Over the past 2 weeks, we have observed the following:
p95 latency: Reduced from ~150ms to ~50ms (67% decrease)
p99 latency: Reduced from ~350ms to ~250ms (29% decrease)
Cloudflare Logpush can now deliver logs from using fixed, dedicated egress IPs. By routing Logpush traffic through a Cloudflare zone enabled with Aegis IP, your log destination only needs to allow Aegis IPs making setup more secure.
Highlights:
Fixed egress IPs ensure your destination only accepts traffic from known addresses.
Works with any supported Logpush destination.
Recommended to use a dedicated zone as a proxy for easier management.
To get started, work with your Cloudflare account team to provision Aegis IPs, then configure your Logpush job to deliver logs through the proxy zone. For full setup instructions, refer to the Logpush documentation.
You can now build Workflows using Python. With Python Workflows, you get automatic retries, state persistence, and the ability to run multi-step operations that can span minutes, hours, or weeks using Python’s familiar syntax and the Python Workers runtime.
Python Workflows use the same step-based execution model as JavaScript Workflows, but with Python syntax and access to Python’s ecosystem. Python Workflows also enable DAG (Directed Acyclic Graph) workflows, where you can define complex dependencies between steps using the depends parameter.
Here’s a simple example:
from workers import Response, WorkflowEntrypointclass PythonWorkflowStarter(WorkflowEntrypoint): async def run(self, event, step): @step.do("my first step") async def my_first_step(): # do some work return "Hello Python!" await my_first_step() await step.sleep("my-sleep-step", "10 seconds") @step.do("my second step") async def my_second_step(): # do some more work return "Hello again!" await my_second_step()class Default(WorkerEntrypoint): async def fetch(self, request): await self.env.MY_WORKFLOW.create() return Response("Hello Workflow creation!")
Python Workflows support the same core capabilities as JavaScript Workflows, including sleep scheduling, event-driven workflows, and built-in error handling with configurable retry policies.
You can now create a client (a Durable Object stub) to a Durable Object with the new getByName method, removing the need to convert Durable Object names to IDs and then create a stub.
// Before: (1) translate name to ID then (2) get a client const objectId = env.MY_DURABLE_OBJECT.idFromName("foo"); // or .newUniqueId()const stub = env.MY_DURABLE_OBJECT.get(objectId); // Now: retrieve client to Durable Object directly via its name const stub = env.MY_DURABLE_OBJECT.getByName("foo");// Use client to send request to the remote Durable Objectconst rpcResponse = await stub.sayHello();
Each Durable Object has a globally-unique name, which allows you to send requests to a specific object from anywhere in the world. Thus, a Durable Object can be used to coordinate between multiple clients who need to work together. You can have billions of Durable Objects, providing isolation between application tenants.
Enterprise Gateway users can now use Bring Your Own IP (BYOIP) for dedicated egress IPs.
Admins can now onboard and use their own IPv4 or IPv6 prefixes to egress traffic from Cloudflare, delivering greater control, flexibility, and compliance for network traffic.
Get started by following the BYOIP onboarding process. Once your IPs are onboarded, go to Gateway > Egress policies and select or create an egress policy. In Select an egress IP, choose Use dedicated egress IPs (Cloudflare or BYOIP), then select your BYOIP address from the dropdown menu.
You can now subscribe to events from other Cloudflare services (for example, Workers KV, Workers AI, Workers) and consume those events via Queues, allowing you to build custom workflows, integrations, and logic in response to account activity.
Event subscriptions allow you to receive messages when events occur across your Cloudflare account. Cloudflare products can publish structured events to a queue, which you can then consume with Workers or pull via HTTP from anywhere.
To create a subscription, use the dashboard or Wrangler:
An event is a structured record of something happening in your Cloudflare account – like a Workers AI batch request being queued, a Worker build completing, or an R2 bucket being created. Events follow a consistent structure:
Wrangler's error screen has received several improvements to enhance your debugging experience!
The error screen now features a refreshed design thanks to youch ↗, with support for both light and dark themes, improved source map resolution logic that handles missing source files more reliably, and better error cause display.
Before
After (Light)
After (Dark)
Try it out now with npx wrangler@latest dev in your Workers project.
This week, a series of critical vulnerabilities were discovered impacting core enterprise and open-source infrastructure. These flaws present a range of risks, providing attackers with distinct pathways for remote code execution, methods to breach internal network boundaries, and opportunities for critical data exposure and operational disruption.
Key Findings
SonicWall SMA (CVE-2025-32819, CVE-2025-32820, CVE-2025-32821): A remote authenticated attacker with SSLVPN user privileges can bypass path traversal protections. These vulnerabilities enable a attacker to bypass security checks to read, modify, or delete arbitrary files. An attacker with administrative privileges can escalate this further, using a command injection flaw to upload malicious files, which could ultimately force the appliance to reboot to its factory default settings.
Ms-Swift Project (CVE-2025-50460): An unsafe deserialization vulnerability exists in the Ms-Swift project's handling of YAML configuration files. If an attacker can control the content of a configuration file passed to the application, they can embed a malicious payload that will execute arbitrary code and it can be executed during deserialization.
Apache Druid (CVE-2023-25194): This vulnerability in Apache Druid allows an attacker to cause the server to connect to a malicious LDAP server. By sending a specially crafted LDAP response, the attacker can trigger an unrestricted deserialization of untrusted data. If specific "gadgets" (classes that can be abused) are present in the server's classpath, this can be escalated to achieve Remote Code Execution (RCE).
Tenda AC8v4 (CVE-2025-51087, CVE-2025-51088): Vulnerabilities allow an authenticated attacker to trigger a stack-based buffer overflow. By sending malformed arguments in a request to specific endpoints, an attacker can crash the device or potentially achieve arbitrary code execution.
Open WebUI (CVE-2024-7959): This vulnerability allows a user to change the OpenAI URL endpoint to an arbitrary internal network address without proper validation. This flaw can be exploited to access internal services or cloud metadata endpoints, potentially leading to remote command execution if the attacker can retrieve instance secrets or access sensitive internal APIs.
BentoML (CVE-2025-54381): The vulnerability exists in the serialization/deserialization handlers for multipart form data and JSON requests, which automatically download files from user-provided URLs without proper validation of internal network addresses. This allows attackers to fetch from unintended internal services, including cloud metadata and localhost.
Adobe Experience Manager Forms (CVE-2025-54254): An Improper Restriction of XML External Entity Reference ('XXE') vulnerability that could lead to arbitrary file system read in Adobe AEM (≤6.5.23).
Impact
These vulnerabilities affect core infrastructure, from network security appliances like SonicWall to data platforms such as Apache Druid and ML frameworks like BentoML. The code execution and deserialization flaws are particularly severe, offering deep system access that allows attackers to steal data, disrupt services, and establish a foothold for broader intrusions. Simultaneously, SSRF and XXE vulnerabilities undermine network boundaries, exposing sensitive internal data and creating pathways for lateral movement. Beyond data-centric threats, flaws in edge devices like the Tenda router introduce the tangible risk of operational disruption, highlighting a multi-faceted threat to the security and stability of key enterprise systems.
Ruleset
Rule ID
Legacy Rule ID
Description
Previous Action
New Action
Comments
Cloudflare Managed Ruleset
100574
SonicWall SMA - Remote Code Execution - CVE:CVE-2025-32819, CVE:CVE-2025-32820, CVE:CVE-2025-32821
You can now create more granular, network-aware Custom Rules in Cloudflare Load Balancing using the Autonomous System Number (ASN) of an incoming request.
This allows you to steer traffic with greater precision based on the network source of a request. For example, you can route traffic from specific Internet Service Providers (ISPs) or enterprise customers to dedicated infrastructure, optimize performance, or enforce compliance by directing certain networks to preferred data centers.
To get started, create a Custom Rule ↗ in your Load Balancer and select AS Num from the Field dropdown.
Customers can now rely on Log Explorer to meet their log retention compliance requirements.
Contract customers can choose to store their logs in Log Explorer for up to two years, at an additional cost of $0.10 per GB per month. Customers interested in this feature can contact their account team to have it added to their contract.
Brand Protection detects domains that may be impersonating your brand — from common misspellings (cloudfalre.com) to malicious concatenations (cloudflare-okta.com). Saved search queries run continuously and alert you when suspicious domains appear.
You can now create and save multiple queries in a single step, streamlining setup and management. Available now via the Brand Protection bulk query creation API.
Earlier this year, we announced the launch of the new Terraform v5 Provider. We are aware of the high number of issues ↗ reported by the Cloudflare Community related to the v5 release. We have committed to releasing improvements on a two week cadence to ensure stability and reliability.
One key change we adopted in recent weeks is a pivot to more comprehensive, test-driven development. We are still evaluating individual issues, but are also investing in much deeper testing to drive our stabilization efforts. We will subsequently be investing in comprehensive migration scripts. As a result, you will see several of the highest traffic APIs have been stabilized in the most recent release, and are supported by comprehensive acceptance tests.
Thank you for continuing to raise issues. We triage them weekly and they help make our products stronger.
If you have an unaddressed issue with the provider, we encourage you to check the open issues ↗ and open a new one if one does not already exist for what you are experiencing.
Upgrading
We suggest holding off on migration to v5 while we work on stabilization. This will help you avoid any blocking issues while the Terraform resources are actively being stabilized.
If you'd like more information on migrating to v5, please make use of the migration guide ↗. We have provided automated migration scripts using Grit which simplify the transition. These migration scripts do not support implementations which use Terraform modules, so customers making use of modules need to migrate manually. Please make use of terraform plan to test your changes before applying, and let us know if you encounter any additional issues by reporting to our GitHub repository ↗.
The node:fs module provides access to a virtual file system in Workers. You can use it to read and write files, create directories, and perform other file system operations.
The virtual file system is ephemeral with each individual request havig its own isolated temporary file space. Files written to the file system will not persist across requests and will not be shared across requests or across different Workers.
Workers running with the nodejs_compat compatibility flag will have access to the node:fs module by default when the compatibility date is set to 2025-09-01 or later. Support for the API can also be enabled using the enable_nodejs_fs_module compatibility flag together with the nodejs_compat flag. The node:fs module can be disabled using the disable_nodejs_fs_module compatibility flag.
import fs from "node:fs";const config = JSON.parse(fs.readFileSync("/bundle/config.json", "utf-8"));export default { async fetch(request) { return new Response(`Config value: ${config.value}`); },};
There are a number of initial limitations to the node:fs implementation:
The glob APIs (e.g. fs.globSync(...)) are not implemented.
The file watching APIs (e.g. fs.watch(...)) are not implemented.
The file timestamps (modified time, access time, etc) are only partially supported. For now, these will always return the Unix epoch.
Refer to the Node.js documentation ↗ for more information on the node:fs module and its APIs.
The Web File System API
The Web File System API provides access to the same virtual file system as the node:fs module, but with a different API surface. The Web File System API is only available in Workers running with the enable_web_file_system compatibility flag. The nodejs_compat compatibility flag is not required to use the Web File System API.
As there are still some parts of the Web File System API that are not fully standardized, there may be some differences between the Workers implementation and the implementations in browsers.
If you're serving Static Assets with a _redirects file containing a rule like /ja/* /:splat, paths with double slashes were previously misinterpreted as external URLs. For example, visiting /ja//example.com would incorrectly redirect to https://example.com instead of /example.com on your domain. This has been fixed and double slashes now correctly resolve as local paths. Note: Cloudflare Pages was not affected by this issue.
We've updated preview URLs for Cloudflare Workers to support long branch names.
Previously, branch and Worker names exceeding the 63-character DNS limit would cause alias generation to fail, leaving pull requests without aliased preview URLs. This particularly impacted teams relying on descriptive branch naming.
Now, Cloudflare automatically truncates long branch names and appends a unique hash, ensuring every pull request gets a working preview link.
How it works
63 characters or less: <branch-name>-<worker-name> → Uses actual branch name as is
64 characters or more: <truncated-branch-name>--<hash>-<worker-name> → Uses truncated name with 4-character hash
Hash generation: The hash is derived from the full branch name to ensure uniqueness
Stable URLs: The same branch always generates the same hash across all commits
Requirements and compatibility
Wrangler 4.30.0 or later: This feature requires updating to wrangler@4.30.0+
No configuration needed: Works automatically with existing preview URL setups
Cloudflare Access logs now support the Customer Metadata Boundary (CMB). If you have configured the CMB for your account, all Access logging will respect that configuration.