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Xalgorix

An open-source autonomous AI pentester that proves every finding with a working exploit before reporting it, and gates CI on verified results — from $16/mo

freemiumCredit-based, self-serve from $1, with credits that never expire and no per-finding fees; every plan includes the full 22-phase methodology with no feature paywalls. Free PR reviews are available via the GitHub App, and no card is required to try. Subscriptions, annual price first with a stated 20% saving: Starter $16/month annually ($192/yr, saving $48) or $20/month — 40 scan credits a month, 1 concurrent scan, branded PDF reports, Slack/Discord/email notifications, scheduled scans and API access. Pro $39/month annually ($470/yr, saving $118) or $49/month — 120 scan credits a month and 3 concurrent scans. Team $159/month annually ($1,910/yr, saving $478) or $199/month — 300 scan credits a month, 5 concurrent scans, custom-logo PDF reports, hourly schedules and priority queue, password-protected share links, audit log and 10× API rate limit. Enterprise is custom and adds SSO/SAML and SCIM. One-time credit packs are also sold and never expire. Cancel anytime, no setup fees.View full pricing →

About Xalgorix

Xalgorix is an autonomous penetration-testing agent whose distinguishing rule is that it reports nothing it has not exploited. Point it at a running application or a repository and it works through a twenty-two-phase methodology — reconnaissance, CORS and cookie handling, injection, IDOR, and on through to an explicit exploit-verification phase — and every finding that reaches the report has a working proof attached. That constraint is the answer to the failure mode that makes most automated scanners unusable in practice: a wall of maybe-vulnerabilities that a human has to triage before any of it can be acted on. The published example run is against pentest-ground.com, a deliberately vulnerable public target, and returned nine findings including remote code execution as root via an eval endpoint and a full database dump through auth bypass, in about seventeen minutes, with each exploit reproduced before it was written up. The CI story follows from the same rule: a GitHub Action runs an exploit-verified pass on every pull request and fails the build only on findings it actually proved, at a severity threshold you set, so the gate is on real risk rather than scanner noise. There is a public REST API, signed scan.completed webhooks and an open-source CLI, plus branded PDF reports that are dated and evidence-backed for auditors.

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Key Features

22-phase methodology with an explicit exploit-verification phase
Every reported finding carries a reproduced working exploit
GitHub Action fails the build only on proven findings at your severity threshold
Public REST API, signed scan.completed webhooks and an open-source CLI
Dated, evidence-backed branded PDF reports for auditors

Tags

pentestingsecurityci-cdopen-sourcevulnerability-scanning
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