VulnHunter: Open-source AI security scanner for vulnerability hunting

X postMiaTool

Mia highlights VulnHunter, an open-source agentic security scanner that inspects source code like an attacker, validates flaws, and develops proofs of concept alongside suggested fixes.

Key points

  1. VulnHunter examines source code from an attacker's perspective, verifies security vulnerabilities, and proposes fixes.
  2. The tool is a fork of an original Capital One repository, modified to be model-agnostic and enhanced for PoC development.
  3. It loads directly into Blackfrost AI's Cyber-Frost Harness runtime using standard SKILL.md files.

Why it matters

Agentic security tooling that moves beyond static alerts to validate vulnerabilities and build working PoCs helps teams cut through noise and address exploitable flaws more quickly.

Analysis

By combining vulnerability discovery with active validation, VulnHunter attempts to bridge the gap between static code findings and verified exploitability. Its interoperability with Cyber-Frost Harness offers a modular approach to agent skills, although community feedback emphasizes the need for tightly scoped rules to avoid consuming excessive CI minutes on false positives.

Original post

Mia

@MiaAI_lab · 5 October 2026

This is awesome 🔥 AI security scanner that: - Analyzes source code just like an attacker - Validates security flaws - Suggests fixes Great addition to open-source! t.co/Ej0cG0Poeu

218 likes3 replies229 bookmarks18k views

View on X
More posts in the thread (1)
  1. Link to the repo: t.co/Yr9rccAXU9
Selected replies (2)
  • @LD_Theron @MiaAI_lab Don't forget to leave a star 🌟
  • @bullbear_info @MiaAI_lab false positives on custom AST nodes will eat all your CI minutes unless you scope the rules strictly

Links and tools from this entry

Summary generated by AI (Gemini 3.8 Flash, 6 October 2026). It may contain errors – the original source is authoritative.

Similar in content, found by the AI search.

  • Repository:nealbridges/VulnHunter

    VulnHunter: Agentic AI Security Scanner for Exploitable Vulnerabilities

    VulnHunter is an open-source, agentic AI security scanner that inspects source code from an attacker's perspective, confirms exploitability, and generates fixes. This maintained fork of Capital One's original project decouples the tool from Claude Code to support arbitrary agent harnesses and open-weight models.

    223starsPython

    AI & LLMs· Tool

  • X post:Brais Moure

    Cloudflare Releases Open-Source Security Audit Skill for Coding Agents

    Brais Moure highlights the release of Cloudflare's 'security-audit-skill'. The tool turns coding agents into multi-phase security auditors and served as the foundation for Cloudflare's internal vulnerability discovery harness.

    3.4kbookmarks139.4kviews

    AI & LLMs· Tool

  • Repository:cloudflare/security-audit-skill

    Cloudflare Open-Sources Security Audit Skill for Coding Agents

    Cloudflare's security-audit-skill is an open-source coding-agent workflow that orchestrates multi-phase security audits with independently verified, machine-readable findings.

    5.2kstarsJavaScript

    AI & LLMs· Tool

  • Repository:bex-co/bex-security

    Bex Security: Agent-Agnostic AI Security Scanner

    Bex Security is an open-source, upstream-first fork of OpenAI Codex Security that brings vulnerability detection, validation, and remediation to multiple coding agents via the Agent Client Protocol (ACP).

    51starsTypeScript

    AI & LLMs· Tool

  • Repository:NVIDIA/SkillSpector

    SkillSpector: Security Scanner for AI Agent Skills by NVIDIA

    SkillSpector is an open-source security scanner from NVIDIA designed to inspect extensions and skills for AI agents (such as Claude Code, Codex CLI, and MCP) for vulnerabilities and malicious patterns before installation.

    15.9kstarsPython

    AI & LLMs· Tool

Let's talk about your project

Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

Parts of this content were created with the assistance of AI.