Cloudflare's web application firewall can now correlate an HTTP request with its response. Full transaction detection helps every customer find successful exploits, data exposure, and risky misconfigurations that request-only inspection can miss.
Cloudflare has deployed default web application firewall (WAF) protections for newly disclosed PHP vulnerabilities before public disclosure. The rules use request and response signals to stop exploit attempts and prevent exposed data from reaching attackers.
CVE-2026-88771 lets attackers run commands on NetScaler Gateway before anyone signs in. Patching takes time most teams don't have, so the sign-in decision has to move in front of the vulnerable code.
We built a WAF tester that adapted each request based on what the WAF blocked or passed. This helped us explore variations that a fixed test might miss. We ran it across six attack categories on an authorized staging environment and discovered detection gaps worth fixing. Here’s how the loop worked, what got through, and what we did about it.
Cloudflare learns the structure of your HTTP requests and identifies deviations. You can add a positive security layer that helps reduce attack surface as AI makes it easier for attackers to generate and vary payloads.
Cloudflare has deployed two WAF rules in response to high-severity vulnerabilities disclosed to us by the WordPress security team. The new rules protect all Cloudflare customers using affected WordPress versions, but customers should still update immediately to a patched release
In our post about Project Glasswing, we made the argument that the architecture around a vulnerability matters more than the speed of the patch. Here we walk through what that architecture looks like, the threats it defends against, and how we run it ourselves as Cloudflare's customer zero.
Cloudflare customers can now use Cloudforce One threat intelligence directly within the WAF to block high-risk traffic. By using new cf.intel fields, security teams can automate protection against specific threat actors and targeted industries in real time.
Cloudflare now returns RFC 9457-compliant structured Markdown and JSON error payloads to AI agents, replacing heavyweight HTML pages with machine-readable instructions. This reduces token usage by over 98%, turning brittle parsing into efficient control flow.
Cloudflare AI Security for Apps is now generally available, providing a security layer to discover and protect AI-powered applications, regardless of the model or hosting provider. We are also making AI discovery free for all plans, to help teams find and secure shadow AI deployments.
Cloudflare AI Security for Apps is now generally available, providing a security layer to discover and protect AI-powered applications, regardless of the model or hosting provider. We are also making AI discovery free for all plans, to help teams find and secure shadow AI deployments.
Cloudflare is introducing Attack Signature Detection and Full-Transaction Detection to provide continuous, high-fidelity security insights without the manual tuning of traditional WAFs. By correlating request payloads with server responses, we can now identify successful exploits and data exfiltration while minimizing false positives.
We serve 7.6 billion challenges daily. Here’s how we used research, AAA accessibility standards, and a unified architecture to redesign the Internet’s most-seen user interface.
A vulnerability was recently identified in Cloudflare’s automation of certificate validation. Here we explain the vulnerability and outline the steps we’ve taken to mitigate it.
Cloudflare offers protection against a new high profile vulnerability for React Server Components: CVE-2025-55182. All WAF customers are automatically protected as long as the WAF is deployed.
The WAF provides ways for our customers to gain insight into why it takes certain actions. The more granular and precise the insight, the more reproducible and understandable it is. Revamped payload logging is one such method.
IPv4 scarcity drives widespread use of Carrier-Grade Network Address Translation, a practice in ISPs and mobile networks that places many users behind each IP address, along with their collected activity and volumes of traffic. We introduce the method we’ve developed to detect large-scale IP sharing globally and mitigate the issues that result.