Migrating from 42Crunch to middleBrick for Framework migration validation
What middleBrick covers
- Black-box API scanning with no agents or SDK dependencies
- Risk scoring from A to F with prioritized findings
- Authentication and JWT misconfiguration detection
- LLM and AI security adversarial prompt probing
- OpenAPI 3.0/3.1 and Swagger 2.0 spec cross-reference
Current assessment inventory and gap analysis
Begin by exporting your current 42Crunch assessment inventory and mapping each finding to the relevant category in middleBrick. middleBrick scans the same OWASP API Top 10 (2023) coverage and surfaces findings aligned with PCI-DSS 4.0 and SOC 2 Type II control objectives. Use this mapping to identify overlaps where middleBrick confirms existing detections and gaps where new endpoints or methods are missing from the prior scan set.
Authentication and authorization validation
Migrate your authentication and authorization validation to middleBrick, which checks for multi-method bypass, JWT misconfigurations such as alg=none, HS256 usage, expired or missing claims, and security header compliance. The scanner supports Bearer, API key, Basic auth, and Cookie authentication in Starter tier and above, gated by domain verification so only the domain owner can submit credentials. Compare the resulting authentication risk score and detailed findings with your 42Crunch baseline to confirm improved coverage of weak configurations and overprivileged roles.
Input validation, data exposure, and SSRF coverage
Assess input validation, data exposure, and SSRF with middleBrick’s black-box checks for CORS wildcard usage (with and without credentials), dangerous HTTP methods, debug endpoints, PII patterns such as email and context-aware SSN, and API key formats including AWS, Stripe, GitHub, and Slack. The scanner also probes for SSRF via URL-accepting parameters and body fields while blocking private IPs, localhost, and cloud metadata endpoints at multiple layers. Evaluate how these findings extend or refine the prior 42Crunch detection set, and review remediation guidance for each category.
LLM and AI security probing
For applications exposing LLM endpoints, enable the LLM / AI security scan in middleBrick, which runs 18 adversarial probes across three tiers: Quick, Standard, and Deep. These include system prompt extraction, instruction override, DAN and roleplay jailbreaks, data exfiltration attempts, cost exploitation, base64 and ROT13 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. Compare these results against 42Crunch to determine whether additional prompt-injection coverage is required for your AI-integrated services.
OpenAPI spec cross-reference and continuous monitoring
middleBrick parses OpenAPI 3.0, 3.1, and Swagger 2.0 definitions with recursive $ref resolution, cross-referencing spec definitions against runtime findings to highlight undefined security schemes, sensitive fields, deprecated operations, and missing pagination. If you move to continuous monitoring in Pro tier, scheduled rescans every 6 hours, daily, weekly, or monthly will track score drift and diff findings, delivering email alerts at a rate-limited cadence and HMAC-SHA256 signed webhooks. Use this workflow to replace 42Crunch’s periodic checks with a programmable CI/CD gate via the GitHub Action or MCP Server integrations, ensuring ongoing framework migration validation aligned with your risk thresholds.