Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A modern storefront can look perfectly healthy while malicious JavaScript works underneath: siphoning affiliate revenue, hijacking searches and clicks, tampering with analytics, or asking a remote server what to execute next. Pages load, products appear, and checkout works — yet the browser may be quietly doing something the site owner never authorized. That is the blind spot our Client-Side Security machine learning (ML) model is built to expose.

Today, we’re making Cloudflare CASB more powerful than ever by introducing automatic remediation policies. This means security teams can now design event-driven logic to revoke risky file shares and dispatch custom webhooks, without manual intervention. When we launched Cloudflare CASB, a cloud access security broker, we wanted to provide security teams complete visibility into the posture of their SaaS applications before misconfigurations became incidents.

1.1.1.1 now validates DNSSEC signatures made with ML-DSA-44, a post-quantum signature algorithm standardized by the National Institute of Standards and Technology (NIST). This is a first step toward preparing DNSSEC for a future in which today’s signature algorithms are no longer secure. Cloudflare plans to achieve full post-quantum security by 2029. Much of the work so far has focused on TLS, but public-key cryptography is used in many other systems, including DNSSEC.

Every time Cloudflare opens a new TLS 1.3 connection to an origin server, we have to make a guess: the protocol requires us to commit to a key agreement algorithm in the very first packet we send, before the origin has told us anything about itself or what it can support. If we guess right, the handshake completes in one round trip. Guess wrong, and the origin replies with a HelloRetryRequest, we start over, and the connection costs two round trips.

Your scanner just flagged 4,000 new vulnerabilities, 78 of them critical. Which one do you fix first? To answer that question, Cloudflare is announcing early access to Vulnerability Discovery and Remediation, now part of Cloudflare Managed Defense. Vulnerability Discovery and Remediation is a new, invitation-only Cloudflare service that helps customers detect and mitigate vulnerabilities in their codebases.

Modern bot threats are increasingly driven by determined, sophisticated attackers. Often it is not even one person, but a group trading techniques with each other or a commercial service sold to anyone willing to pay. For many of them, getting past bot detection is a full-time job they genuinely enjoy. Block them and they get to work, finding a workaround. AI has simplified this further, making it even easier to set up complex configurations for attackers, lowering the overhead of an attack.

Since June, developers have created thousands of third-party OAuth apps on Cloudflare, with more than a million authorizations since. OAuth makes delegated access possible. It lets applications act on a user’s behalf without asking them to handle long-lived credentials or hand over a password. That model works well when an application can describe its access needs with a small set of scopes. Developers use OAuth for SaaS integrations, internal tools, CLIs, and agents.

In 2021, we assessed remote Spectre attacks against Cloudflare Workers. Based on the results, we shipped a production defense called Dynamic Process Isolation (DyPrIs), which identifies maliciously looking scripts and isolates them into separate processes. Since then, newer techniques in the area of stabilizing Spectre attacks have been discovered. To understand if these techniques posed a threat to our Workers production environment, we decided to internally reassess the remote Spectre attack.

Route leaks push traffic down paths it was never meant to take. We have written and spoken publicly in the past about route leaks in Border Gateway Protocol (BGP), depicting these events as impactful incidents that cause misdirection of traffic through unintended network paths. BGP routing is driven by the relationships between Autonomous Systems (ASes), i.e., customer-provider and peer-peer.

AI has enabled employees across every team to build applications faster than ever before. But that speed is also what's keeping every CISO up at night: any employee can build an application, deploy it to the public Internet, and accidentally expose internal work or company data. Today, we're launching new tools to make it easy to keep your applications hosted on Workers private.