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BugHunter Toolkit Enhances Vulnerability Detection

BugHunter Toolkit Enhances Vulnerability Detection

Posted on June 13, 2026 By CWS

An innovative open-source toolkit named BugHunter is gaining momentum in the cybersecurity sector. Built on Anthropic’s Claude Code and now compatible with free AI providers like Ollama and Groq, BugHunter automates the entire process of identifying and reporting vulnerabilities.

Comprehensive Bug Bounty Support

Created by security researcher Shuvon Md Shariar Shanaz and available on GitHub, BugHunter streamlines bug bounty engagements. It covers tasks from subdomain enumeration and live host discovery to the testing of over 30 Web2 and Web3 vulnerabilities. The tool’s 7-Question Gate helps validate findings, and it facilitates report generation for platforms such as HackerOne, Bugcrowd, Intigriti, and Immunefi.

Previously requiring a Claude Code subscription, BugHunter now operates as a standalone CLI tool, leveraging affordable AI providers. This update lowers access barriers for individual researchers. Supported providers include:

  • Ollama – Offers offline, local operation without cost.
  • Groq – Features a free cloud tier with rapid inference speeds.
  • DeepSeek – Cloud-based service costing about $0.001 per 1,000 tokens.
  • Claude API / OpenAI – Available for paying users favoring Anthropic or OpenAI models.

Seamless Integration and Functionality

BugHunter prioritizes the most cost-effective provider, but researchers can switch providers via the bughunter setup. Its structured CLI mimics a professional bug bounty workflow, with commands for mapping attack surfaces, testing vulnerabilities, validating findings, generating reports, and engaging in interactive AI-assisted hunting.

The toolkit’s 7-Question Gate ensures only robust findings proceed to submission, optimizing the researcher’s time. Utilizing around 35 scanning tools, BugHunter handles missing tools smoothly, preventing operational errors.

Advanced Features and Capabilities

BugHunter stands out with its cross-session memory persistence, storing findings in a JSONL-based memory store. This allows pattern recognition across multiple tests. Researchers can also resume interrupted tests, focusing on untested areas with the bughunter pickup command.

Besides web application testing, BugHunter offers a smart contract audit mode, analyzing vulnerabilities like reentrancy and oracle manipulation. A token auditor module examines indicators of potential fraud, such as rug pulls and honeypots, crucial for Web3 programs.

Nine specialized AI agents manage specific tasks within the toolkit, such as recon, report writing, and Web3 auditing, all with legal safeguards against unauthorized credential use. Compatible with Claude Code, standalone CLI, and other agent harnesses, BugHunter is a versatile tool for AI-driven bug bounty automation.

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Cyber Security News Tags:AI, AI providers, bug bounty, BugHunter, Claude Code, Cybersecurity, GitHub, Open Source, security research, vulnerability detection

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