ASMHunter is continuous attack surface monitoring software for bug bounty hunters. It watches a program’s scope for asset drift and records which scan surfaced each asset or finding, so changes can be tied back to the event that produced them. The product is built around hunters who need coverage while away from the laptop and want to trace a bounty back to the exact monitoring run that found it.
Its monitoring output is organized as a live chronological diff feed. The feed includes new subdomains, ports, HTTP fingerprints, URLs, and findings, and each finding carries scan, asset, timestamp, and source metadata. ASMHunter also runs scheduled sweeps without self-hosted stacks, workers, cron jobs, or manual deduplication scripts, and it keeps targets tied to bounty scope. The page also says it can be driven from Claude or Cursor over MCP, and that it ships a Model Context Protocol server for recon, hunt sessions, and reports. The API is described as something that can feed Caido, custom scripts, or AI agents.
Pricing is listed in tiers for solo hunters: a free tier with weekly sweeps for 3 targets, a Hunter plan at $49 per month billed annually with daily sweeps for 10 targets, a Pro plan at $99 per month billed annually with 6-hour sweeps for 25 targets, and a Legend plan at $199 per month billed annually with hourly sweeps and unlimited targets. The pricing section also mentions Team / Enterprise licensing with shared dashboards, SSO, and workflow extensions. The site says ASMHunter is built by a hunter, for hunters, and it is presented as a managed service rather than self-hosted software.
asmhunter-mcp is an AI project. It focuses on automating bug-bounty reconnaissance and reporting using AI agents for security professionals. It is built as an open-source project for security researchers. The project is open source (MIT). asmhunter-mcp is available on the web and the command line, and it can be self-hosted.
It is developed by Open Source Maintainers, and it first shipped in 2026. Among its 5 catalogued features are bug-bounty recon, monitoring, and AI agent integration. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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