Alternatives to 42Crunch on Gorilla Mux

Traditional API security tools often require code instrumentation or framework-specific plugins, which does not align with a router-agnostic security workflow. middleBrick is a self-service API security scanner that operates as a black-box scanner against any HTTP(S) endpoint, including services defined with Gorilla Mux. Because it does not require agents, SDKs, or source code access, it works across languages and frameworks while keeping scan time under a minute.

The scanner exercises read-only methods (GET and HEAD) and text-only POST for LLM probes. For Gorilla Mux, this means it interacts with the effective routes as they are served without needing to understand the underlying routing implementation. The process supports authenticated scanning when your environment requires it, using Bearer tokens, API keys, Basic auth, or cookies, provided domain ownership is verified via DNS TXT or a well-known file.

middleBrick maps findings directly to three frameworks: PCI-DSS 4.0, SOC 2 Type II, and OWASP API Top 10 (2023). For example, issues identified as broken authentication or excessive data exposure can be referenced when validating controls under these frameworks. In addition, the scanner helps you prepare for audits by surfacing findings relevant to HIPAA, GDPR, ISO 27001, NIST, CCPA, NIS2, DORA, and other regulations using alignment language rather than compliance guarantees.

During scans, the tool parses OpenAPI 3.0, 3.1, and Swagger 2.0 specifications with recursive $ref resolution. It cross-references spec definitions against runtime behavior, which supports audit evidence for route exposure, undefined security schemes, and deprecated operations in Gorilla Mux services. This alignment approach avoids definitive compliance claims while giving teams concrete evidence to share with auditors.

The scanner evaluates 12 security categories aligned to OWASP API Top 10 that are especially relevant when using API routers like Gorilla Mux. These include Authentication bypass and JWT misconfigurations, BOLA and IDOR through sequential or adjacent ID probing, BFLA and privilege escalation via admin endpoint discovery, and Property Authorization issues such as internal field leakage or mass-assignment surfaces.

Additional coverage spans Input Validation with CORS wildcard and dangerous HTTP method detection, Rate Limiting and Resource Consumption through header analysis and oversized responses, Data Exposure including PII patterns and API key leakage, Encryption checks like HTTPS redirects and HSTS, and SSRF probes targeting URL-accepting parameters. The scanner also covers Inventory Management and Unsafe Consumption to reduce noise from unintended public exposure.

Modern API surfaces often integrate with AI features, and middleBrick includes specific testing for LLM/AI Security across three scan tiers: Quick, Standard, and Deep. The scanner runs 18 adversarial probes that target system prompt extraction, instruction override, DAN and roleplay jailbreaks, data exfiltration, cost exploitation, encoding bypasses, translation-embedded injection, few-shot poisoning, markdown injection, multi-turn manipulation, indirect prompt injection, token smuggling, tool-abuse, nested instruction injection, and PII extraction.

These probes are designed to assess how an API-backed language model behaves under manipulative inputs without performing destructive or intrusive attacks. The results highlight prompt handling weaknesses that could affect router-level request processing when AI components are involved.

middleBrick supports multiple consumption models including a Web Dashboard for centralized scan management and trend tracking, a CLI via the npm package with JSON or text output, and a GitHub Action that can gate CI/CD when score thresholds are not met. An MCP Server allows scanning from AI coding assistants, and a programmable API enables custom integrations.

For continuous monitoring, the Pro tier offers scheduled rescans, diff detection across scans, email alerts rate-limited to one per hour, and HMAC-SHA256 signed webhooks that auto-disable after five consecutive failures. The scanner maintains a strict read-only posture, blocks private and metadata endpoints, and allows deletion of customer data on demand, ensuring that security testing does not impact production routing logic.