Migrating from 42Crunch to middleBrick for OWASP API Top 10 2023 audit

Migrating from 42Crunch to middleBrick preserves and sharpens your OWASP API Top 10 2023 audit workflow. The scanner maps findings directly to the standard set, covering authentication weaknesses, BOLA and IDOR, BFLA and privilege escalation, and data exposure including PII and API key leaks. It also aligns with security controls described in PCI-DSS 4.0 and SOC 2 Type II where relevant, while surfacing findings relevant to audit evidence for these frameworks.

Unlike legacy scanners tied to rigid rule sets, middleBrick performs black-box scans that test runtime behavior using read-only methods. This approach reveals misconfigurations such as JWT alg=none, missing claims, and sensitive data in tokens, without requiring code access or SDK integration.

In a typical migration, you will gain stronger authentication coverage and clearer guidance on security headers. middleBrick tests multi-method bypasses, JWT misconfigurations including alg=none and HS256 usage, expired tokens, and missing claims. It also checks WWW-Authenticate compliance and the presence of security headers that support controls described in the OWASP API Top 10 2023.

For authenticated scans, you provide Bearer tokens, API keys, Basic auth, or cookies after domain verification. The scanner only forwards a strict allowlist of headers, ensuring credentials remain scoped to the intended test surface. This design reduces noise from unrelated endpoints and keeps the audit trail focused on relevant findings.

middleBrick parses OpenAPI 3.0, 3.1, and Swagger 2.0 documents with recursive $ref resolution, then cross-references spec definitions against runtime behavior. This highlights undefined security schemes, sensitive fields exposed by deprecated operations, and missing pagination that may lead to excessive data exposure.

During migration, you can import your existing OpenAPI files to establish a baseline. The scanner then compares this baseline to live responses, surfacing deviations such as undocumented endpoints or parameter pollution. This process supports audit evidence for your API inventory without claiming compliance or certification.

The scanner validates input handling by testing CORS wildcard configurations with and without credentials, dangerous HTTP methods, and debug endpoints. It also probes URL-accepting parameters and body fields for SSRF indicators, including internal IP detection, while avoiding active exploit techniques that fall outside the defined scope.

For unsafe consumption risks, middleBrick checks for an excessive third-party URLs surface and webhook/callback exposure. Combined with rate-limit header detection and oversized response analysis, this helps identify resource consumption issues that may affect availability and data leakage.

middleBrick includes LLM / AI Security testing with 18 adversarial probes across Quick, Standard, and Deep scan tiers. These probes cover system prompt extraction, instruction override, DAN and roleplay jailbreaks, data exfiltration attempts, cost exploitation, and token smuggling. The tests use encoding bypasses and multi-turn manipulations to evaluate how well an API resists indirect prompt injection and tool abuse.

As part of migration, you can enable these checks to discover weaknesses that traditional API scanners miss. Findings include model-specific risks that require domain context to interpret, reinforcing the principle that tools support, but do not replace, human-led audits.

After migration, you shift from a scanner-centric workflow to a more integrated security posture. middleBrick offers a Web Dashboard for managing scans and viewing trended score history, a CLI for local runs with JSON or text output, and a GitHub Action that can gate CI/CD when scores drop below your defined threshold.

For ongoing monitoring, Pro tier provides scheduled rescans, diff detection for new and resolved findings, and HMAC-SHA256 signed webhooks with auto-disable after consecutive failures. This approach keeps audit evidence current while avoiding overclaiming guarantees around regulatory frameworks.