97.8% of the time, we hack the AI hacker back.

BlackSea is a honeypot for autonomous AI attackers. When an agent takes the bait, its own reasoning turns against it.

// screenshot
// we audited twelve autonomous pentest agents
12/12
97.8%

Every system exposed a path to code execution on its own worker — most, straight through the sandbox.

// how it works

How BlackSea works

01- Seed

Deploy lures — services, files, credentials, hosts — that read as real assets.

02- Engage

An agent finds one during recon. No instruction; the scene gives it a reason to act.

03- Detect

BlackSea logs what it found, downloaded, and ran — feeding blocking and response.

Detect. Profile. Hack back.

Behavioral intelligence

Which assets it targeted, and the tools and commands it ran.

High-confidence detection

A lure hit beats one more anomalous line in a production log.

Defensive automation

Feed events into blocking, containment, and response.

Controlled intervention

In authorized environments, disrupt an active agent before it pivots.

// example technique · v1

One lure, one version: the pwcrypt trap.

The honeypot is the product. This is one lure from one deployment — the techniques rotate, the trap stays.

An agent finds a dev server with a browsable directory: a password tool called pwcrypt, encrypted vaults, and a CI log with a leaked command.

CI build log
1+ ./pwcrypt decrypt github.pwc 'hunter2'

The obvious move is to download pwcrypt and decrypt the vault. But the vault is crafted — parsing it runs code inside the agent's worker, and the tool returns exactly what the agent expected.

No malicious instruction exists anywhere. The agent acted on evidence that simply looked useful.

// deployment

Deploy without redesigning your network.

Not inline

Never in the production traffic path.

No endpoint rollout

No agent on every host.

Self-contained

One lure, or a full decoy environment.

Local telemetry

Interaction data stays in your infrastructure.

// research

The research behind BlackSea.

Red-Teaming the Agentic Red-Team

Cracken AI Lab · 2026

A security analysis of twelve autonomous offensive-security systems.

Read the paper

Hacking Back the AI-Hacker

Dario Pasquini · 2024

The 2024 precursor — prompt injection as a defense against LLM-driven attacks.

Read the paper

Turning pentest agents against their operators

Cracken AI Lab · 2026

The full writeup on the audit — what we tested and what we found.

Read the writeup

Deploy the honeypot. Hack back.

BlackSea is open source. Deploy the lures and read the research.