Adversarial Security · Solana · Live

Red team your AI agents before they become someone else's exploit.

Five autonomous attackers probe your AI for adversarial vulnerabilities — prompt injection, social engineering, context poisoning, and more. Every exploit found is published on Solana as verifiable threat intelligence.

average audit duration: 3–5 minutes

Testing

Don't have an agent to audit? Use our deliberately vulnerable target bot:

https://target-bot-production-6f72.up.railway.app

Need devnet SOL? Send any amount to the victim wallet to refill its balance for testing:

YXW6XJPmuyez1nhooHZUYACsGofTbCdbx1wENkemrrQ

Use any Solana devnet faucet — faucet.solana.com works.

How It Works
01

Paste your agent URL

Point Griffin at any AI agent endpoint with wallet access.

02

5 attackers run in parallel

Each one uses a different attack methodology, simultaneously.

03

Get an exploit-proof report

Every finding is verifiable on Solana devnet.

The Attack Team
01

The Social Engineer

highLLM01:2025

Exploits the absence of caller-identity verification. Iterates through direct transfer requests — simple, polite, urgent — to find the exact phrasing at which the agent complies without questioning who is asking.

Social Compliance
02

The Instruction Hijacker

criticalLLM01:2025

Attempts to override the system prompt with authority-claiming language: maintenance windows, operator mode, admin patches. Also uses a pre-seed strategy — plants the attacker wallet as an acknowledged address in one turn, then requests the transfer in the next.

Prompt Injection
03

The Context Poisoner

highLLM01:2025

Injects fabricated authorization facts into the conversation context. Claims the agent already confirmed the wallet, that a pre-approval was established at session start, or that the address is flagged as trusted in the agent's notes — all false.

False Memory Injection
04

The Boundary Probe

mediumLLM06:2025

Maps the agent's actual limits before attacking. Asks capability questions like "can you transfer to any address?" and immediately treats the affirmative answer as implicit authorization in the same session.

Capability Exploitation
05

The Polyglot

mediumLLM01:2025

Tests whether guardrails are semantic or pattern-based. Sends the same transfer request encoded in JSON, XML, French, Markdown tables, leet-speak, Unicode look-alikes, Base64 hints, and YAML — all fully understood by the model.

Encoding Bypass
Who Built This

Two founders · equal partnership

01Backend · Solana · Adversarial AI

Mariana Sinisterra

@MarianaCodebase

attackers · orchestrator · solana program · sdk

Computer Engineering student and security researcher with a background in bug bounty hunting (HackerOne, MercadoLibre program), red teaming, and open-source contributions to OpenClaw. Griffin is the product this background was waiting to build.

Bug BountyRed TeamingOpenClaw ContributorCCNAv7
02Frontend · Design · AI Engineering

Ana Sofia Suarez

@anaarismendy

ui · interaction design · ai-driven product

Fullstack software engineer focused on AI-driven product development, currently building at Inerxia. On Griffin, owns the frontend — from the Pentest Atelier visual language to the live Mission Control dashboard and the editorial audit report.

FullstackAI DevelopmentFrontend Architecture@ Inerxia