Alternatives to 42Crunch for Customer chatbot security review

What middleBrick covers

  • Black-box API scanning with under one minute completion time
  • Risk score A–F with prioritized findings
  • LLM adversarial probing across three scan tiers
  • OpenAPI 3.0/3.1 and Swagger 2.0 parsing with $ref resolution
  • Authenticated scanning with strict header allowlist
  • Pro-tier monitoring, diff detection, and signed webhooks

Purpose and scope of this comparison

This page compares API security scanners suitable for reviewing customer-facing chatbot endpoints. The focus is on black-box solutions that require no agents, code access, or SDK integration. Coverage centers on OWASP API Top 10 risks relevant to chatbot APIs, including authentication issues, data exposure, and prompt-injection vectors.

How middleBrick approaches chatbot security review

middleBrick is a self-service API security scanner that submits a URL and returns a risk score from A to F with prioritized findings. It performs black-box scanning using read-only methods (GET and HEAD) plus text-only POST for LLM probes, completing a scan in under a minute. The scanner maps findings to OWASP API Top 10 (2023) and supports OpenAPI 3.0, 3.1, and Swagger 2.0 with recursive $ref resolution, cross-referencing spec definitions against runtime behavior to identify undefined security schemes or deprecated operations.

For chatbot workflows, the scanner runs 18 adversarial probes across three tiers (Quick, Standard, Deep) targeting LLM-specific risks such as system prompt extraction, instruction override, DAN and roleplay jailbreaks, data exfiltration, token smuggling, and nested instruction injection. It also checks input validation issues like CORS wildcard usage, dangerous HTTP methods, and debug endpoints that could affect bot reliability.

Authentication and authorized scanning considerations

Authenticated scanning is available in the Starter tier and above, supporting Bearer, API key, Basic auth, and Cookie-based mechanisms. Domain verification is enforced through a DNS TXT record or an HTTP well-known file to ensure only the domain owner can scan with credentials. When credentials are provided, only a limited set of headers is forwarded: Authorization, X-API-Key, Cookie, and X-Custom-*. This controlled header allowlist helps maintain a stable security posture while validating authenticated attack paths such as broken access control (BOLA/IDOR) and privilege escalation (BFLA) in bot management interfaces.

Reporting, monitoring, and integration options

The Web Dashboard centralizes scan results, score trends, and remediation guidance, with the option to download branded compliance PDFs. The CLI offers command-line usage via middlebrick scan <url>, supporting JSON or text output for automation. A GitHub Action can gate CI/CD pipelines, failing the build when the score drops below a chosen threshold. The MCP Server enables scanning from AI coding assistants such as Claude or Cursor. For ongoing risk management, the Pro tier provides scheduled rescans (6-hour, daily, weekly, or monthly), diff detection across scans, email alerts (1 per hour per API), and HMAC-SHA256 signed webhooks with auto-disable after 5 consecutive failures.

Limitations and compliance framing

middleBrick is a scanning tool and does not fix, patch, block, or remediate findings; it provides detection and guidance only. It does not perform active SQL injection or command injection testing, as those require intrusive payloads outside its scope. It does not detect business logic vulnerabilities, blind SSRF, or guarantee any regulatory compliance. The scanner helps you prepare for security controls described in frameworks such as PCI-DSS 4.0, SOC 2 Type II, and OWASP API Top 10 (2023), and it surfaces findings relevant to audit evidence for other standards. It does not claim certification, compliance, or adherence to any specific regulatory framework.

Frequently Asked Questions

Can middleBrick scan authenticated chatbot admin panels?
Yes, authenticated scanning is supported from the Starter tier. You provide credentials and a domain verification record, and the scanner validates access while restricting forwarded headers to a safe allowlist.
How are LLM-specific risks evaluated during a scan?
The scanner runs 18 adversarial probes across Quick, Standard, and Deep tiers to test for prompt injection, jailbreak techniques, data exfiltration attempts, and token-smuggling behaviors targeting chatbot language models.
Does the scanner integrate with CI/CD pipelines?
Yes, there is a GitHub Action that can fail the build when the score drops below a configured threshold, enabling automated gate enforcement.
What happens to scan data after cancellation?
Customer scan data is deletable on demand and purged within 30 days of cancellation. It is never sold and is not used for model training.