Vigolium Overview

Vigolium is a high-fidelity web vulnerability scanner written in Go. It combines deterministic, module-based scanning with AI-driven agentic analysis to provide broad and deep coverage of web application security issues.

Vigolium Workbench, scan overview with severity breakdown and finding details

Vigolium is a high-fidelity web vulnerability scanner that fuses agentic AI with native speed, modularity, and precision. It combines deterministic multi-phase scanning with AI-driven autonomous analysis to deliver comprehensive security coverage, from injection flaws and access control issues to framework-specific vulnerabilities and blind out-of-band attacks.

The platform is built around three key components that work together to provide a complete vulnerability scanning solution.

Key Components

Vigolium CLI

The core scanning engine. Handles all scanning logic, module execution, and heavy lifting, from content discovery and browser-based spidering to active fuzzing and agentic AI scanning.

Vigolium Workbench

A self-hosted dashboard for visualizing scan results, managing projects, and tracking findings across your infrastructure. Deploy it on your own servers for full control over your data.

Gimorra

The autonomous offensive-security agent. Pointed at an authorized target with a goal and a scope, it runs recon → scan → propose PoC → deterministically prove → report, with Vigolium as its scan engine.

Scanning Mode

Agentic Scan

Agentic scanning uses AI agents to drive or augment the scanning process. Invoked via vigolium agent <mode>. All AI dispatch is routed through the in-process olium engine, which supports eleven providers: openai-codex-oauth, anthropic-api-key, anthropic-oauth, openai-api-key, openai-responses, anthropic-cli, anthropic-claude-sdk-bridge, anthropic-compatible, anthropic-vertex, google-vertex, and openai-compatible (Ollama / OpenRouter / LM Studio / vLLM).

Mode	Command	Description
Query	vigolium agent query	Single-shot prompt execution. Good for code review, endpoint discovery, secret detection. No network scanning.
Autopilot	vigolium agent autopilot	Autonomous AI-driven pentest. The olium engine discovers endpoints, runs scans, and triages findings on its own, driving Bash, file ops, and first-class Vigolium tools until it calls halt_scan. Supports diff-focused runs (--diff), prior/knowledge-base context, intensity presets, and durable-mode resume.
Swarm	vigolium agent swarm	AI-guided pipeline for targeted single-request or full-scope (--discover) scanning. The master agent selects modules, generates custom JS scanner extensions, runs code audit and SAST, executes scans, and triages results, with native Go handling the heavy lifting while AI intervenes at checkpoints.
Audit	vigolium agent audit	Unified driver dispatcher for whitebox security audits — runs the embedded vigolium-audit harness, the standalone piolium harness, or both side-by-side under one parent scan. Modes: lite / balanced / deep.
Piolium	vigolium agent audit --driver=piolium	Pi-native whitebox audit driver, up to 17 phases at deep. Requires the pi runtime and the piolium extension installed separately.
Olium	vigolium olium / vigolium ol	Interactive TUI chat or one-shot non-interactive prompt, the underlying agent runtime.

All scan-oriented modes support --source for source-aware analysis and store session artifacts (plans, extensions, output) under ~/.vigolium/agent-sessions/. See Setting Up the Agent for provider setup.

Agent mode runs with no sandbox: the LLM has full shell, file, and network access on the host, and extensions can run arbitrary commands. Run agent mode in a disposable container or VM scoped to your engagement. See the Security Warning before you start.

Native Scan

Deterministic, multi-phase vulnerability scanning via vigolium scan. Fast, modular, and repeatable, runs content discovery, browser spidering, SPA crawling, and active/passive dynamic-assessment phases with 334 scanner modules (215 active, 119 passive).

Category	Coverage
Injection	XSS (reflected, DOM-based, SSR hydration), SQL injection (error-based, boolean/time-blind), NoSQL injection, SSTI/CSTI, CRLF injection, command injection, XXE/SAML, prototype pollution
Access Control	CSRF, IDOR, authorization bypass, mass assignment, forbidden bypass, HTTP method tampering
File & Path	LFI, path traversal, file upload flaws, directory listing, backup/sensitive file discovery, path normalization bypass
API & Protocol	GraphQL security suite (introspection, SQLi, IDOR/BOLA, DoS, batching), MCP server security (tool/resource/prompt fuzzing, session & origin checks), SSRF (direct & blind), open redirect, HTTP request smuggling, JWT vulnerabilities, JSONP callback, WebSocket security, race conditions
Framework-Specific	Spring Boot, Django, Laravel, Rails, Express, Next.js, Nuxt, Remix, ASP.NET/Blazor, IIS, Flask, FastAPI
Enterprise & SaaS Platforms	Adobe Experience Manager (dispatcher bypass, sensitive servlets, RCE-surface exposure, CVE probes), Salesforce Experience Cloud (Aura object/record exposure, guest Apex execution, Lightning debug mode), ServiceNow (widget & KB data exposure), Microsoft Power Pages (Dataverse Web API exposure)
CMS	WordPress (XML-RPC, user enum, AJAX exposure), Drupal, Joomla, CMS installer exposure
Cloud & Infra	Firebase (RTDB, storage, auth, functions), cloud storage listing/takeover, default credentials, web cache poisoning, CORS misconfiguration
Out-of-Band	Blind vulnerabilities via OAST callbacks (blind SSRF, blind SSTI, OAST probes)

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Vigolium CLI

The CLI is the heart of Vigolium, powering all scanning operations with two complementary modes:

CLI Highlights

• Value-aware mutation: classify parameter values by semantic type and generate intelligent mutations
• Multi-phase pipeline: external harvesting, content discovery, SPA crawling, and audit controlled by strategy presets
• Scanning profiles: bundle strategy, pace, scope, and module config into a single YAML file
• Multiple input formats: URLs, OpenAPI/Swagger, WSDL/SOAP, Postman, Burp Suite, cURL, Nuclei JSONL
• Browser-based spider: Chromium-driven crawler with SPA support, form filling, and JS analysis
• Multi-session authentication: inline sessions, session files, or full auth configs with login flows and token extraction
• JavaScript extensions: custom modules and hooks via embedded JS engine
• Source-aware agentic scan: pair --source with swarm, autopilot, or audit for code-context-aware AI scanning and audit
• Concurrent architecture: configurable worker pool with per-host rate limiting and hybrid queue
• HTML reports: self-contained HTML reports with sortable/filterable tables
• API server mode: REST API with Swagger UI, multi-format ingestion, transparent HTTP proxy

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Vigolium Workbench

A self-hosted web dashboard that provides a visual interface for managing and analyzing your scan data. Deploy Workbench on your own infrastructure to maintain complete control over your vulnerability data while giving your team an intuitive way to:

• Browse and filter scan findings with severity breakdown per project
• Track vulnerability trends across repositories and scan history
• Manage multiple projects with multi-tenancy support
• View detailed request/response evidence for each finding

Project overview with scan summary

Findings list with filtering options

Detailed finding view with request/response evidence

Scan history and trend tracking

HTML report, summary with severity chart

HTML report, sortable findings table

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Gimorra — An Autonomous Offensive-Security Agent

Gimorra is the autonomous offensive-security platform within Vigolium — hunts while you sleep. Where vigolium agent autopilot drives a scan, Gimorra drives an engagement: give it an authorized target, a goal and a scope, and it runs recon → scan → propose a PoC → deterministically prove it → report on its own.

Vigolium is the scan engine underneath it. Gimorra is the operator above it.

A gimorra scan start to finish: a brief resolves into a plan, recon maps the target, the agent proposes candidates, and the deterministic validator confirms the real ones

Autonomy is bought with deterministic guardrails rather than a human gating every action: ordinary code re-proves every finding (the agent proposes, code disposes), auto-cleanup and a kill switch bound what a run can leave behind, and a deny-wins scope guard is evaluated on every tool call. None of the three depends on the model, so a prompt-injected agent does not get past them.

Read the full introduction on the Gimorra page, or Request a Demo to see it against your own target.

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Where to Go Next

I want to…	Start here
Install the CLI and run my first scan	Quickstart
Pick the right mode for the job	Choosing a Scan Mode
Run one-shot scans (CI, ad-hoc)	Native Scan & Stateless Scanning
Wire up AI providers	Setting Up the Agent
Understand how native scanning works	How It Works
Pick the right scanning strategy	Strategies
Dive into individual scan phases	Phases, discovery, spidering, audit, extension
Try agentic scanning	Agent Mode
Let AI drive scans autonomously	Autopilot
Run multi-phase AI + native pipelines	Swarm
Run a whole engagement autonomously	Gimorra
Audit source code in depth	Agentic Security Audit
Chat with the agent runtime	Olium
Run Vigolium as an API server	Server Mode
Tweak scan settings	Configuration
Export and format results	Output & Reporting
Write custom JS extensions	Writing Extensions
Browse the REST API	API Overview

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For any inquiries, feel free to contact us at [e-mail].