Alternatives to 42Crunch for Customer hand-off validation

What middleBrick covers

  • Black-box scanning with no agents or SDK dependencies
  • Risk scoring A–F with prioritized findings
  • Covers OWASP API Top 10 (2023) mapping
  • OpenAPI 3.x and Swagger 2.0 contract analysis
  • Authenticated scans with header allowlist controls
  • LLM/AI security adversarial probe tiers

Purpose and scope for customer hand-off validation

Customer hand-off validation requires a mechanism that confirms an API surface is stable, observable, and safe to expose to downstream consumers without transferring implementation risk. This scanner operates as a black-box assessment focused on contract behavior and runtime security posture rather than implementation internals. It supports validation workflows where the provider shares a URL and a risk profile, enabling the consumer to make an evidence-based acceptance decision.

Detection coverage aligned to industry standards

The scanner evaluates APIs against three reference frameworks using direct mapping language: it maps findings to PCI-DSS 4.0, covers requirements of SOC 2 Type II, and validates controls from OWASP API Top 10 (2023). Detection spans 12 categories including authentication bypass, broken object level authorization, excessive data exposure, and sensitive data leakage such as API keys and PII patterns. Input validation checks include CORS misconfigurations and dangerous HTTP methods, while rate limiting and resource consumption are observed through header analysis and response size patterns.

OpenAPI contract analysis and authenticated assessment

For APIs with an OpenAPI specification, the parser resolves recursive $ref structures across OpenAPI 3.0, 3.1, and Swagger 2.0, then cross-references definitions against runtime behavior to identify undefined security schemes, deprecated operations, and missing pagination. Authenticated scanning supports Bearer, API key, Basic auth, and Cookie methods, gated by domain verification via DNS TXT record or HTTP well-known file. Only a limited header allowlist is forwarded, including Authorization, X-API-Key, Cookie, and X-Custom-* headers.

LLM and AI security probing

The scanner includes an LLM / AI Security category with tiered adversarial probes. Quick, Standard, and Deep scan levels test for system prompt extraction, instruction override, DAN and roleplay jailbreaks, data exfiltration attempts, 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 checks are non-intrusive and do not rely on destructive payloads.

Operational model and limitations

Results are delivered as a risk score graded A–F with prioritized findings and remediation guidance. The scanner does not fix, patch, block, or remediate; it detects and reports. It does not perform active SQL injection or command injection, does not detect business logic vulnerabilities, and does not replace a human pentester for high-stakes audits. Continuous monitoring options on higher tiers provide scheduled rescans, diff detection, email alerts, and signed webhooks to track score drift over time.

Frequently Asked Questions

Can this scanner validate that an API is safe for third-party onboarding?
It can surface technical risk indicators such as authentication weaknesses, data exposure, and contract inconsistencies that are relevant to onboarding decisions. Final acceptance should also consider organizational policies and a separate audit when required.
Does the scanner test for business logic flaws during hand-off validation?
It does not detect business logic vulnerabilities, as these require domain-specific context. The tool reports observable behavior and known security misconfigurations that may inform further review.
Are scan credentials stored or used to train models after a hand-off validation?
Customer scan data is deletable on demand and purged within 30 days of cancellation. It is not sold and is not used for model training.
Can the scanner integrate into a CI/CD pipeline for hand-off gates?
Yes, the GitHub Action can fail a build when the score drops below a defined threshold, providing an automated gate for certain deployment pipelines.