Other Blockchain pentesting system

Pipa

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Price: $5,000 USD

Compatibility: Works on top of any LLM (Claude, Codex, Grok, Qwen, Kimi, etc.) including models with strict guardrails.

The Problem: Why Current Tools Fail

Most "agentic" security tools on the market today rely on generic loops and standard workflows. Because everyone uses similar default configurations, they produce identical results:
  • High rates of false positives.
  • Inability to detect flaws in recently deployed or complex Solidity contracts.
  • Failure to identify funds frozen in old, "dead" contracts due to code mistakes (a massive source of lost value).
Essentially, if you run a random smart contract through these tools, there's a 99% chance you'll get noise instead of actionable intelligence because the entire world is running the same scripts.

The Solution: A Truly Self-Learning Architecture

This system was developed specifically for crypto environments and operates differently from standard "agent" loops. It doesn't just follow a preset path; it adapts its analysis based on the specific blockchain and contract context.

Key Features:
  • ✅ LLM Agnostic: Installable as layer over any major LLM (Claude, Grok, Qwen, Kimi, etc.).
  • ✅ Guardrail Friendly: Works seamlessly even with strict safety filters enabled in your base model.
  • ✅ High Precision Detection: Leverages millions of historical test cases to find drain points and logic errors that generic tools miss.
  • ✅ Cross-Chain Ready: While primarily optimized for Solidity (EVM chains), it has been successfully tested on other blockchains with zero issues.
  • ✅ "Dead Contract" Recovery: Uniquely capable of analyzing recently declared-dead contracts to locate frozen funds caused by historical code errors—money that others overlook.

How It Works

Think of this not as a "magic hacking tool," but as a properly architected intelligence layer. If there is a flaw in a contract, this system will find it because its workflow analyzes the data uniquely rather than relying on common patterns.
 
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