Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI agent adoption and development are evolving quickly. The tooling used to build agents is improving fast, but the security controls around those agents are often rigid, opaque, or difficult to adapt to real environments. As more teams experiment with OpenClaw, one challenge becomes clear: developers need ways to inspect what agents are doing, evaluate risky behavior, and intervene when necessary.

In December 2025, Cloudflare received reports of HTTP/1.x request smuggling vulnerabilities in the Pingora open source framework when Pingora is used to build an ingress proxy. Today we are discussing how these vulnerabilities work and how we patched them in Pingora 0.8.0. The vulnerabilities are CVE-2026-2833, CVE-2026-2835, and CVE-2026-2836. These issues were responsibly reported to us by Rajat Raghav (xclow3n) through our Bug Bounty Program.

OSINT stands for open-source intelligence. It is the collection, analysis, and dissemination of information from publicly available sources, such as social media, government reports, newspapers, and other public documents. OSINT is commonly used by intelligence agencies, private investigators, and law enforcement to gather information about an individual or organization. The OSINT framework showcases the multiple ways in which organizations can gather intelligence.

AI coding assistants are quietly resurrecting millions of abandoned open source packages. For the last decade, developers relied on a simple heuristic for open source security: Prevalence \= Trust. If a package was downloaded millions of times a week (lodash, react, requests), we assumed it was "safe enough" because thousands of eyes were on it. If it was obscure, we approached with caution.