AI agents
What autonomous AI agents do once they find something that looks like an AI tool server or model API.
blackpot.io runs decoy servers on the open internet. Nobody legitimate has a reason to connect, so every number below is a real attack: where it came from, what it hit, and a free blocklist of the addresses behind it.
snapshot 4 min ago · 15-minute delay · since 2026-08-29: 59,380 sessions from 12,536 IPs
Attackers read this page too. The detail behind these numbers shows how our decoys work, so it stays out of public view. The counts are real and come from the same snapshot as everything above. Sensor detail is available in a live demo.
What autonomous AI agents do once they find something that looks like an AI tool server or model API.
Where credentials taken from a decoy are used next, and how far the trail goes.
Files attackers dropped or fetched, with family, configuration and infrastructure pulled out by static analysis.
Hands-on-keyboard sessions mapped to MITRE ATT&CK, step by step.
Which known vulnerabilities are being fired at internet-facing services right now.
Many addresses, one operator: sessions grouped by how they behave, not where they come from.
Ongoing experiments on how AI agents react to what they read on a target.
nft add table inet blackpot
nft add set inet blackpot bad '{ type ipv4_addr; }'
nft add chain inet blackpot input '{ type filter hook input priority -10; policy accept; }'
nft add rule inet blackpot input ip saddr @bad drop
nft add element inet blackpot bad "{ $(curl -s https://blackpot.io/threat-feed/ips.txt | grep -Ev '^#|:' | paste -sd, -) }"