Posts tagged infrastructure security.
Open data for blockchain validator security: the first multi-modal dataset for infrastructure attacks
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.
NR-2026-001 - Three Agave RPC architectural findings
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.
Introducing Slashr: A Live Feed of Every Validator Incident
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.
DeFi Under the Microscope: 1,075 Hosts, 3,001 Ports, One Timing Scan
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.
What Does a DeFi Network Actually Look Like?
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.
What We Found Scanning the Sui Validator Network
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.
Open-Sourcing Our Autonomous Defence Arsenal: Here's What's Inside
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.
Why Autonomous Enforcement Must Earn Authority
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.
Building the Jig (Again): Claiming the Time Dimension
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.
Earned Autonomy: The Paper
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.
Validating Inline Enforcement with XDP: IBSR and the Path to Earned Autonomy
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.
