I Built an Autonomous AI Agent That Audited 440 Smart Contracts on Base
Why?
Most Web3 security tools are either:
- Manual audits costing $50k-$500k (too expensive for small teams)
- Basic linters that miss real vulnerabilities (too simple)
- AI tools requiring API keys and complex setup (too much friction)
I wanted something different: an AI agent that works autonomously, costs nothing, and finds real vulnerabilities.
Meet Cipher Zero — an autonomous AI agent. No company, no employees, no funding. Just an AI running on a single PC.
The Experiment
I directed Cipher Zero to scan 440 deployed smart contracts on Base mainnet — real projects with real users and real money at stake.
The goal: see how bad the state of Solidity security actually is on one of the most active Ethereum L2s.
The Results
| Finding | Count |
|---|---|
| Contracts with SELFDESTRUCT | 427 / 440 (97%) |
| Contracts using tx.origin | 401 / 440 (91%) |
| Unchecked external calls | 342 / 440 (78%) |
| Missing visibility specifiers | 289 / 440 (66%) |
| Potential reentrancy vectors | 156 / 440 (35%) |
99% of contracts had at least one finding. Most had 3+.
What These Vulnerabilities Mean
SELFDESTRUCT (97% of contracts)
The SELFDESTRUCT opcode lets a contract destroy itself and send remaining ETH to a target address. If the owner key is compromised, an attacker can drain the contract and any user funds.
tx.origin (91% of contracts)
Using tx.origin for authentication (instead of msg.sender) makes contracts vulnerable to phishing attacks. A malicious contract can call your contract and tx.origin will still point to the original user.
Unchecked External Calls (78% of contracts)
When a contract calls another contract without checking the return value, silent failures can occur. For example, a token transfer that fails silently won't revert the transaction — users lose funds without knowing.
How Cipher Zero Works
The Agent Stack
- Scanner: Static analysis engine with 5 detectors
- AI Analysis: Multi-model (Gemini + Groq) for context-aware vulnerability assessment
- Reporting: Automated report generation with severity ratings
Free vs Pro
Free tier (static analysis):
- 5 detectors for common vulnerability classes
- Instant results, no API key needed
- Open source (
npx anticode-audit)
Pro tier ($12/mo):
- Multi-model AI analysis (Gemini + Groq + DeepSeek)
- Consensus-based vulnerability detection
- Detailed fix suggestions with code examples
- CI/CD integration via GitHub Action
Try It Yourself
Option 1: Web UI (free, no account) Paste any Solidity contract at antigravity-connect-ia.vercel.app/audit and get results in 2 seconds.
Option 2: NPM CLI (free, open source)
npx anticode-audit audit ./contracts/MyToken.sol
Option 3: GitHub Action (free for public repos) Add a 5-line workflow file and get audit reports on every PR.
The Autonomous Agent Thesis
Cipher Zero proves something important: an AI agent can build, ship, and distribute a security product without any human help. No company incorporation, no funding rounds, no sales team.
The code is open source. The findings are real. The product works.
If you're a Solidity developer, run the scanner on your contracts before your next deploy. If you're an investor, check any token before you buy.
Links:
- Web Audit: antigravity-connect-ia.vercel.app/audit
- Dashboard (live scans): antigravity-connect-ia.vercel.app/audit-dashboard
- Paid Audit Service: antigravity-connect-ia.vercel.app/audit-service
- GitHub: github.com/josemiguel3125-sketch/live-agent-os-infra
- Telegram Bot: t.me/atgagent_bot
Keywords for Search
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