The library.

We've published nr-bundles-public on Hugging Face: the first open, multi-modal dataset for blockchain validator security. 31 schema-pinned observations across Sui and Solana, seven attack families, CC-BY-4.0. Open bundle format, open ten-family taxonomy, closed corpus. The substrate for cross-chain ML detection of infrastructure attacks.

How we built a wire-shape detector that transfers across chains. V8 trained only on Sui hit 51 out of 51 zero-shot on Solana attacks it had never seen, because mechanism-class features carry across chains while host-telemetry features don't.

Three architectural findings in the Agave JSON-RPC layer at v3.1.9: response amplification on getMultipleAccounts, Tokio executor saturation via simulateTransaction, and spawn_blocking pool saturation via getProgramAccounts. Architectural patterns, not rate-limit DoS - operator rate limits don't close them.

V1 of our trainer scored ROC = 1.000 across all 17 folds. Two minutes of audit found why. Eight leak surfaces later, here's the apparatus that stops you fooling yourself with one.

Validator threat intelligence has no shared format. We're publishing a bundle spec, a ten-family taxonomy, and seeding a 1,092-bundle corpus to fix that.

NullRabbit scanned 5,715 validator hosts across Solana and Sui, running 10,139 scans and identifying 1,340 CVE findings across 155 hosts. Here's what the validator attack surface actually looks like.

Slashr tracks validator delinquency, jailing, slashing, and missed votes across Solana, Ethereum, Sui, and Cosmos in real time. Wallet checks, rankings, automated scanning, and reliability reports -- all from on-chain data.

Slashr now has a Model Context Protocol server. Any MCP-compatible AI tool -- Claude Code, Claude Desktop, or custom agents -- can query live validator incident data, scan results, and network summaries directly.

Validators go down constantly. Almost nobody is watching it happen in real time, across chains, in one place. So we built slashr.dev, a live incident feed tracking Solana, Ethereum, Sui, and Cosmos.

A first look at what DeFi validator infrastructure looks like at the kernel level. We crack open the consolidated dataset -- embedding galaxies, jitter fingerprints, RTT ridgelines, and 10,000 anomaly events across 642 silent hosts.

Every blockchain network has a physical fingerprint. We pointed our eBPF/XDP scanner at 1,075 hosts across multiple DeFi validator networks and mapped 3,001 timing fingerprints to reveal the structure underneath the consensus layer.

Building a production BPF/XDP scanner is an exercise in humility. Orphaned XDP programs, async Rust deadlocks, stale binaries, silent TC failures -- here is everything that broke and what we did about it.

We scanned 138 Sui validators across 20 countries using kernel-level temporal fingerprinting. 41% have SSH exposed, 57 run unexpected internet-facing services, and 9 confirmed CVEs sit on 4 hosts -- including 2 critical at CVSS 9.8. Here is what we found and why it matters for DeFi.

We're open-sourcing the tooling behind NullRabbit's autonomous kernel-level network defence: the scanning, intelligence, observation, and adversarial validation layers that feed our enforcement pipeline. Six tools, MIT licensed, with more coming.

The technology to defend networks autonomously exists. The legitimacy to deploy it does not. Introducing earned autonomy: a governance framework where defensive authority is demonstrated before granted, scoped per abuse class, and continuously re-earned or revoked.

Inline defence without understanding is guesswork. Before machines act, they need evidence. Why we're open-sourcing our scanning system, building jigs instead of shortcuts, and claiming time as a first-class signal in infrastructure security.

Machines attack at machine speed. Humans defend at human speed. The technology to close this gap exists - the governance doesn't. A framework for when machines should be permitted to act without human approval.

Inline enforcement operates at machine speed, but trust cannot. IBSR is a validation step: using XDP to observe real traffic, simulate enforcement, and generate evidence before any blocking is enabled.

Machines attack at machine speed. Humans defend at human speed. We propose a governance framework for closing that gap--not through blind trust, but through demonstrated competence.

The XDP logic came together in days. The infrastructure to prove it works took weeks. That ratio matters more than most people realise.

Solana reportedly absorbed a sustained ~6 Tbps volumetric DDoS attack with no downtime. That's real progress. It's also not the same thing as being protected.

I assumed Cloudflare would protect me from all denial-of-service attacks. It doesn't. A reality check on origin IP bypasses, non-HTTP floods, and why the gap between the edge and your kernel matters.

Demonstrating the complete XDP detection pipeline with MQTT eventing. Shows kernel-level SYN-flood detection, userspace processing, and real-time remote alerting - all in milliseconds.

I ran a SYN flood against my own server and watched every log file I could find. Nothing. Not a single line. Here's why Linux won't tell you about scans - and the tools that actually will.

Validator nodes face constant exposure. This deep dive explains how NullRabbit Guard uses eBPF and XDP to enforce security directly inside the NIC driver, dropping scans and abnormal traffic at line rate before they reach the kernel or your node.

A deep dive into eXpress Data Path (XDP), how it hooks into the Linux kernel at the earliest stage of packet processing, and why it's becoming the foundation for next-gen network security and observability.

Protect your validator or RPC node with these ten open-source tools. From port scanners to intrusion prevention, here's the ultimate DIY stack for decentralized infrastructure security.