OnScanner - 2026 Pricing, Features, Reviews & Alternatives

OnScanner is a web vulnerability, security and privacy scanning platform designed for organizations requiring live deterministic analysis of web applications and infrastructure. The platform serves security teams, development organizations, compliance officers and IT departments across healthcare, ecommerce, diagnostics and other sectors requiring continuous visibility into attack surfaces. Scanning operations leverage a stack of specialist engines that execute in parallel against authorized targets, delivering real-time results that are never cached. Structured output is presented via web reports, JSON API responses and PDF exports, and an optional AI-powered analysis layer can be activated to summarize findings, correlate attack chains and generate compliance assessments.

Core functionality comprises multiple specialized detection engines that run concurrently during each scan. The vulnerability detection engine performs OWASP Top Ten and API security checks, CPE/CVE mapping enriched with EPSS exploit probability scoring and CISA KEV known-exploited vulnerability context, safe active exploitation probes, zero-day identification through behavioral and heuristic analysis, vulnerability chaining and WAF detection. The privacy and tracker analysis engine identifies third-party tracking scripts across more than forty categories, audits cookies, detects canvas and font fingerprinting techniques, identifies session recorders, evaluates consent management platforms and generates privacy scores. The technology fingerprinting engine detects products, vendors and versions with CPE correlation, end-of-life tracking, confidence scoring and CNAME and favicon-hash matching. Additional engines deliver attack surface intelligence including host discovery, domain and subdomain enumeration, subdomain takeover detection, forward and reverse DNS resolution, ASN mapping and SSL/TLS certificate, protocol and cipher analysis. The email security module validates DMARC, DKIM and SPF records to protect domains from spoofing and phishing.

Available scan types include a security scan focused on CVE detection and OWASP analysis, a privacy scan focused on tracker detection and consent evaluation and a full scan that combines security and privacy analysis. Scan modes offer quick, advanced and deep options with support for up to ten subdomains in a single scan and unlimited active exploit checks. The optional AI findings feature must be explicitly enabled prior to scanning and processes deterministic results to generate executive summaries, prioritize risks, provide per-finding remediation guidance, link related findings into attack paths mapped to the MITRE ATT&CK kill chain and produce compliance reports against SOC two, ISO twenty seven thousand one, GDPR, PCI DSS and HIPAA frameworks. Scheduled scanning capabilities support daily, weekly or monthly automated re-scans with change detection and alerting.

OnScanner provides comprehensive API access through a full REST API and a Model Context Protocol server over streamable HTTP transport. This server enables AI agents such as Claude, Cursor, Claude Code, Claude Desktop, VS Code extensions and other MCP-compatible clients to programmatically control scanning operations. Authentication uses API keys passed in a designated header or as bearer tokens with consistent authorization rules across web, API and MCP interfaces. The MCP server exposes tools for listing, creating and retrieving targets, initiating scans, querying scan status and obtaining results to support automated workflows from target configuration through report retrieval. Python and JavaScript client libraries facilitate integration into custom workflows or CI/CD pipelines. The platform enforces authorized scanning only for owned or explicitly permitted targets. All scan data is encrypted in transit and at rest and findings remain within OnScanner infrastructure unless optional AI features are activated, in which case results are transmitted to a third-party AI provider operating under contractual restrictions against training on customer data. Payment data, credentials and raw screenshots are never shared with external AI providers. Team collaboration is supported through role-based access control with owner, member and viewer roles on enterprise plans and embeddable security badges are available to display security posture.