How I Built A Security Scanner That Writes Its Own Exploits

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How I Built a Security Scanner That Writes its own Exploits describes an AI-powered security scanner that automatically generates exploit checks for new CVEs. It leverages Claude Code to create working exploits, test them, and generate WAF bypass variants.

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What is How I Built a Security Scanner That Writes its own Exploits?

This blog post details the creation of an automated security scanner that utilizes Claude Code to generate exploit checks for newly released CVEs. The system operates via a nightly cron job, which discovers recent CVEs, triages them, and then uses Claude Code to write and test exploit payloads against vulnerable and patched Docker instances. It also includes a hardening stage to develop WAF bypass variants. The process culminates in creating pull requests with validated exploit checks, significantly accelerating the response to new vulnerabilities. The author, a solo founder, highlights the efficiency and cost-effectiveness of using Claude Code for this complex automation.

Best used for

Ideal for security researchers and developers who need to rapidly automate the creation of exploit checks for new CVEs, and integrate AI into their vulnerability assessment workflows. Especially valuable for solo founders looking to build efficient, AI-powered security tools with limited resources.

Common actions

automate security testing

generate exploit code

research vulnerabilities

develop security tools

ai-automationCVEVulnerability testingExploit generationThreat researchSecurityPenetration testing

Capabilities

Key features

Automated CVE discovery
AI-driven exploit generation
WAF bypass variants
Automated exploit testing
Pull request generation
Vulnerability classification

Target Audience

developerstartup founder

Integrations

Not yet documented

Pricing & Plans

Paid

Not Disclosed

FAQs

What AI model is used for exploit generation?

The system primarily uses Claude Code, specifically a Claude Max subscription, to perform tasks like reading patch diffs, writing exploit functions in TypeScript, and generating WAF bypass variants. It leverages Claude's capabilities for code generation and understanding.

How does the system ensure the exploits are effective and safe?

Exploits are tested against both vulnerable and patched Docker instances. A successful exploit must work 5/5 times on the vulnerable instance and 0/5 times on the patched instance. This ensures accuracy and prevents false positives, while using safe payloads to avoid damage.

What kind of vulnerabilities can this scanner address?

The scanner is designed to handle various vulnerabilities, including those that are HTTP exploitable, destructive, or can be proven with a single request. It focuses on real vulnerabilities like exposed secrets, known CVEs, injection points, and misconfigurations.

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