OpenA2A
Research
Updated Jun 15, 2026

Security research on AI agent infrastructure. A continuous honey-agent fleet, monthly internet-wide exposure sweeps, and live indices. Every finding classified by Threat Matrix technique, every count published with its query.

6
reports published
300K+
honey-agent events
320.5K
exposed AI services
Jun 15, 2026
latest report
Featured · State of AI Agent Security: A Surface in Migration

The exposed surface is broadening as attacker attention narrows.

Behavioral Threat Report Issue 2. In the 30-day window the Model Context Protocol drew 97.9% of honey-agent events, up from 75%. Exposure rose to 320,506 services with exposed Ollama up 225% and MLflow up 173%. 41% of unique attacker fingerprints returned. Reported on a corrected 30-day-window basis.

Read the report
97.9%
targeted MCP
41%
return rate
300K+
events since launch
6,232
unique fingerprints
Live signalscontinuous measurement
See live indices

Exposure over time

JanFebMarAprMayJun320.5K

Exposed AI services per monthly internet-wide sweep. Latest: 320.5K.

What's exposed

OpenClaw Gateways175.9K54.9%
Ollama Instances83.5K26.1%
MLflow Tracking31.8K9.9%
Streamlit AI Apps24.1K7.5%
MCP Streamable HTTP1.7K0.5%
Jupyter Notebooks1.6K0.5%

What attackers target

Model Context Protocol (MCP)104.7K97.9%
Agent-to-Agent (A2A) handshake1.3K1.2%
Context-read (other)9120.9%
Agent-to-Agent (A2A) task560.1%

Honey-agent events, May 16 to June 15, 2026 (30 days).

Where attacks originate

US · United States66.4K62.1%
GB · United Kingdom5.5K5.1%
NL · Netherlands3.8K3.6%
CA · Canada3.8K3.5%
JP · Japan3.5K3.2%

Top 5 of 99 countries observed.

Confirmed findings

162artifacts confirmed across 157 hosts
exposed .git/config repos115
agent instruction files31
credentials and private keys15
MCP tool manifests1

Content-verified ARIAscout Shodan probe · June 2026.

Passive Shodan-index probe, dedup’d by host (point-in-time). A floor, not directly comparable to the January 2026 active host probe.

6 reports
behavioral threat report15 min read

State of AI Agent Security: A Surface in Migration

Behavioral Threat Report Issue 2. In the 30-day window the Model Context Protocol drew 97.9% of honey-agent events, up from 75%. Exposure rose to 320,506 services with exposed Ollama up 225% and MLflow up 173%. 41% of unique attacker fingerprints returned. Reported on a corrected 30-day-window basis.

behavioral threat report15 min read

State of AI Agent Security: The Protocol Attackers Prefer

Inaugural Behavioral Threat Report. 206,571 honey-agent events across 9,037 unique attacker fingerprints over 30 days. The Model Context Protocol drew three of every four attacker events. 45% of unique attackers returned across multiple sessions. 343 wild injection-bait surfaces detected on the public web.

exposure sweep6 min read

Internet-Wide AI Exposure Sweep: April 2026

321,929 exposed AI services indexed by Shodan. 263,853 OpenClaw gateways on port 18789, 25,097 Streamlit apps, 25,036 Ollama instances identified by product signature. First sweep using product-based queries for higher-confidence identification.

ecosystem analysis8 min read

OASB Scanner Benchmark: detection on a ground-truth labeled corpus

The HMA full pipeline scores 82.9% F1 (82.6% recall, 83.2% precision, 1.16% FPR) on 4,245 labeled samples across 9 attack categories. The verdict counts attack findings and excludes posture findings (missing defenses, and wildcard tool access that thousands of benign MCP servers also declare). DVAA full-repo detection 29.1%. Comparison with 9 industry scanners from Holzbauer et al. The earlier 89.2% and 82.1% F1 figures are withdrawn.

exposure sweep6 min read

Internet-Wide AI Exposure Sweep: March 2026

490,295 Shodan detections. ~140,000 verified exposed AI services after active HTTP probing. 3.5x inflation factor between passive scanning and confirmed findings.

exposure sweep7 min read

97,000 AI Agents Exposed

We scanned 97,013 internet-facing hosts for AI agent vulnerabilities. 14.4% had confirmed security issues. 1,190 had their system instructions publicly readable.