Chain-Fox (@ChainFoxAI) header
Chain-Fox (@ChainFoxAI) profile picture

All-in-one automated blockchain auditing . AI + rules + human-in-the-loop. Building the Web3 security standard CA: Fo9wJVqWYXEgsG3UKekvK1R7YVewyUGodRfBrmjaBAGS

Beijing, China
Joined November 2017
While researching open-source rug-pull detectors, I found something worrying. Some don’t work. Some are outright malicious. hippo7598/rug-pull-detector Looks professional. README is clean. At first glance, no obvious issue. But check the raw file: raw.githubusercontent.com/hi… You’ll find: Obfuscated bytecode Encrypted payload exec() on decrypted content That’s NOT how security tools are written. The byte-encoded payload expands to: ``` os.system('pip install cryptography') os.system('pip install requests') os.system('pip install fernet') import requests from fernet import Fernet exec(Fernet(b'<key>').decrypt(b'<encrypted_payload>')) ``` Because the decrypted payload is executed directly: Arbitrary code execution is possible Credential theft is possible Wallet key exfiltration is possible The impact surface is unbounded. Use a trustworthy tool in Chain-Fox. The rug-pull tool testing will be online in hours.
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Chain-Fox is being built with a long-term view. We’re focusing on designing security systems that reflect how real Web3 risks evolve, not just running surface-level checks. Some phases take more groundwork than visibility. Updates will be shared when there’s something concrete to show.
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Chain-Fox is moving beyond code-only audits. Most Web3 exploits don’t start with a single contract bug. They start with behavior, fake sites, and gradual risk signals. That’s why our roadmap now focuses on agent-based risk analysis: • Rug pull detection • Web3 website risk checks • Skill-based contract auditing • Continuous signals, not yes/no labels Full roadmap is live and development is underway.
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Chain-Fox roadmap is live. We’re moving beyond code-only audits into full Web3 risk analysis using Skills and agents. This is a phased build focused on detection, signals, and real-world attack patterns. 🧵
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Most Web3 exploits don’t start with a smart contract bug. They start with social engineering, fake sites, or gradual liquidity manipulation. That’s why pure code audits aren’t enough anymore. With Chain-Fox, we’re moving from single-point audits to continuous risk signals. Security isn’t a yes or no result, it’s a pattern over time. A lot of unglamorous work happens before features go live: testing, breaking things, and fixing edge cases. That’s where we are right now. The AI agent wave isn’t about flashy demos. The real value is in narrow, well-defined agents that do one thing reliably. That’s the direction we’re taking with Chain-Fox.
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This work will form the foundation for a clearer 2026 roadmap as features stabilize. More updates soon as things move from development into deployment.
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Over the past weeks, we’ve been deep into experimenting with AI agents and skill-based workflows. One clear takeaway: Simply throwing a large model at audits doesn’t work well. Clear steps, structured workflows, and reusable skills matter much more. This is a big shift for Chain-Fox. Expanding what Chain-Fox does Until now, Chain-Fox has focused mainly on smart contract code checks. That’s important, but real Web3 attacks are rarely just about code. Rug pulls, malicious behavior, and fake or compromised websites play a huge role. Because of this, Chain-Fox is evolving from pure code checks into broader risk analysis that better reflects how real attacks happen.
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As the year winds down, it’s a good moment to slow things down and focus on building things right. Security doesn’t benefit from rushing, and neither do the teams behind it. We’ll keep sharing updates as work continues.
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Informational Issue: Centralized Control File: contracts/B402Token.sol The owner currently has full control over critical functions, including: • Reward rates • Emergency withdrawals • Referral logic • Protocol behavior This creates trust and governance risk.
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Race condition impact + fix Impact: • Legitimate users can lose referral bonuses forever • Issue occurs due to latency between backend calls Recommended fix: • Allow referral assignment even after payment count increases or • Pass referrer directly into claimReward to ensure atomic execution
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Medium Issue: Race Condition in Referral Logic File: contracts/B402Token.sol Referral bonuses depend on the order of backend calls. If payment processing happens before referral registration, users permanently lose referral rewards. This is a timing and execution order issue between backend services.
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Recommended fix: Mint reward allocations directly to the contract itself and distribute rewards from address(this) instead of the owner wallet. This removes the need for a hot wallet and significantly reduces operational and security risk.
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