Don’t let automation make blind decisions.
Automation can only act on what it can see. Understand adversary behavior and intent early before a wrong decision turns a small threat into a big one.
Trusted worldwide
Designed to see
attacks at their earliest stages.
See the full picture of early-stage attack activity across threats, targets, tooling, infrastructure, and their relationships. Connect fresh evidence as it happens and act before threats escalate into costly incidents.
Catch the first signals of emerging exploits.
ELLIO captures live reconnaissance and exploitation behavior across a distributed deceptive surface, uncovering emerging and previously unseen exploits without relying on prior knowledge of the underlying vulnerabilities.
- Distributed, internet-facing observation
- Reconnaissance-stage visibility
- Exploit-agnostic observation
- Behavioral and AI-assisted analysis
- Cross-sensor campaign correlation
Catch the first signals of emerging exploits.
ELLIO captures live reconnaissance and exploitation behavior across a distributed deceptive surface, uncovering emerging and previously unseen exploits without relying on prior knowledge of the underlying vulnerabilities.
- Distributed, internet-facing observation
- Reconnaissance-stage visibility
- Exploit-agnostic observation
- Behavioral and AI-assisted analysis
- Cross-sensor campaign correlation
Mass Exploitation Intelligence
Track how exploitation activity happens before escalating.
Network Fingerprint Intelligence
See the threats behind fragmented infrastructure.
Adversary Network Intelligence
NextGen IP Intelligence tailored to agentic security.
Attacker Reconnaissance Intelligence
See attack preparation before exloitation.
Direct observation.
First-party telemetry.
ELLIO operates its own distributed cyber deception network, providing a first-party vantage point into adversarial activity on the Internet - from reconnaissance and probing to exploitation and follow-on activity.
- High-fidelity signals
- Direct observations of live activity
- No third-party data noise
Direct observation.
First-party telemetry.
ELLIO operates its own distributed cyber deception network, providing a first-party vantage point into adversarial activity on the Internet - from reconnaissance and probing to exploitation and follow-on activity.
- High-fidelity signals
- Direct observations of live activity
- No third-party data noise
Node2Shell: remote code execution on stock Node.js builds (CVE-2026-111497)
A checker calling itself node2shell-check is already mapping which hosts decompress Brotli. CVE-2026-111497 turns a malformed Brotli body into a shell on an official, unmodified Node.js build, which ELLIO reproduced on x86-64 against four targets.
PHP2Shell: attacks before the patch, and automation by nightfall
PHP2Shell is a pair of critical, unauthenticated RCE flaws in PHP core (CVE-2026-109618 and CVE-2026-109619), fixed on 21 October 2026. What the two bugs are, what to patch, and what the ELLIO Deception Network recorded on disclosure day, including what the attack tooling actually carried.
"IgnoreAllPreviousInstructions": a peek into 340 billion daily reverse DNS (PTR) records
A network named itself IgnoreAllPreviousInstructions, and an AI search summary obeyed with a poem about an axolotl. A Dutch home connection's PTR tells any AI agent that looks it up to attack whoever sent it. And 28 fake Googlebots passed the check Google tells you to use.
The Intelligence Value of Network Fingerprinting
Two connections come from different IPs. Are they related? Network fingerprints give analysts another way to compare traffic, investigate suspicious activity and make decisions when reputation data offers few answers. But be careful: a fingerprint is only as useful as the interpretation behind it.
Microsoft Security Naming Survival Guide
A quick guide to Microsoft security name changes, helping you make sense of current terms without getting lost in older names.
Why Microsoft Sentinel Feels Noisy: It’s Not Volume, It’s Recon Blindness
Alert fatigue in Microsoft Sentinel is not caused by alert volume alone. It is a context and correlation problem. Read how reconnaissance-aware threat intelligence helps separate internet scanning noise from active exploitation activity to improve signal quality and reduce false-positive incidents.