Vigolium
A security scanner that doesn't just flag possible bugs like most tools — it tries to actually exploit them first, so you only see the ones that are real.
🔗 Visit Vigolium
Description
Most vulnerability scanners are famous for crying wolf: they flag hundreds of "possible" issues, and a security engineer spends half their week figuring out which ones are actually exploitable versus noise. Vigolium takes a different approach — it combines a traditional deterministic scanner with an AI agent that tries to genuinely exploit each finding, generating working proof-of-concept code, so what lands in your inbox is a validated bug with evidence, not a guess.
Vigolium ships 317 scanner modules covering content discovery, browser-based spidering (including single-page apps), and active/passive auditing for issues like XSS, SQL injection, CSRF, IDOR, SSRF and GraphQL vulnerabilities. Its "olium" agent runtime can run autonomous scanning modes — Autopilot, Swarm, and Audit — that plan attacks, write custom JavaScript extensions on the fly, and cross-reference source code for context, supporting frameworks like Spring Boot, Django, Laravel, Rails, Express and Next.js, plus enterprise platforms like Salesforce and ServiceNow. It's fully open source under AGPL-3.0 (self-hostable, free, 909+ GitHub stars), with a hosted Cloud Console available as a paid SaaS option starting at $29 per 100K lines scanned, and works with OpenAI, Anthropic, Google Vertex, Ollama or OpenRouter as the underlying LLM.
💬 Our review
The short version: Vigolium is for a security or dev team that's drowning in false positives from traditional scanners and wants a tool that proves a bug is real before wasting anyone's time on it.
The validated-exploit approach is the genuinely differentiating idea here — most competitors (Burp Suite, OWASP ZAP) are pattern-matchers that leave triage entirely to a human, while Vigolium's agent runtime tries to actually pop the vulnerability and hands you the proof. Being open source and self-hostable under AGPL-3.0 also removes the usual objection to running a security scanner against sensitive code: you're not sending anything to a third party unless you choose the Cloud Console. The honest caveats: AI-driven auditing means results depend partly on which LLM you point it at, and while 909 GitHub stars and documented scans across 67+ real projects is a decent track record for a 2026 launch, it's not the decade of hardening that Burp Suite or ZAP have behind them — pair it with a mature scanner rather than replacing one outright if you're securing something critical. Pricing is also unusually granular (per-100K-lines) which rewards small, well-scoped codebases and can get expensive fast on a sprawling monorepo.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Auto-hébergé : gratuit (AGPL-3.0). Cloud Console : à partir de $29 par 100K lignes de code scannées ; pack de départ dès $299 (5000 crédits) ; tarif entreprise sur devis.
Pros
Exploits validés avec preuve de concept, pas juste des alertes brutes
Open source AGPL-3.0, auto-hébergeable pour du code sensible
317 modules de scan + agent IA autonome (Autopilot, Swarm, Audit)
Compatible multi-LLM (OpenAI, Anthropic, Google Vertex, Ollama, OpenRouter)
Cons
Tarification SaaS au volume de lignes, peut grimper vite sur un gros monorepo
Produit jeune comparé à Burp Suite ou ZAP (décennies de maturité)
Qualité des résultats IA dépend du LLM choisi
Nécessite une config OAST/LLM pour exploiter pleinement les capacités IA