42Crunch for Customer chatbot security review

middleBrick is a black-box API security scanner designed for external-facing endpoints. Submit the chatbot endpoint URL and receive a risk score from A to F with prioritized findings. Because the scanner uses read-only methods plus text-only POST for LLM probes, it does not execute destructive payloads and is suitable for reviewing public chatbot interfaces without code access or SDK integration. Scan completion typically occurs in under a minute, making it practical for iterative reviews during development cycles.

The scanner evaluates 12 security categories aligned to the OWASP API Top 10 (2023). For customer chatbot workflows, relevant detections include injection attempts in prompts, role-based access probing, and exposure of sensitive configuration through error messages or verbose responses. Authentication checks cover JWT misconfigurations such as alg=none, missing claims, and sensitive data in tokens. Input Validation identifies CORS wildcard origins and dangerous HTTP methods that could weaken the chatbot surface.

For compliance framing, findings map to OWASP API Top 10 (2023) and support audit evidence for SOC 2 Type II and PCI-DSS 4.0 controls. The scanner also surfaces issues relevant to LLM / AI Security, including adversarial probes across Quick, Standard, and Deep tiers that test system prompt extraction, instruction override, and data exfiltration paths common in chatbot deployments.

With Starter tier or higher, authenticated scanning is available for chatbot backends that require identity verification. Supported methods include Bearer tokens, API keys, Basic auth, and cookies. Domain verification is enforced through DNS TXT records or an HTTP well-known file to ensure only the domain owner can scan with credentials. Header forwarding is limited to Authorization, X-API-Key, Cookie, and X-Custom-* to reduce unintended side effects.

Safety posture is maintained through read-only methods only; destructive payloads are never sent. Private IPs, localhost, and cloud metadata endpoints are blocked at multiple layers. Customer data is deletable on demand and is never used for model training, ensuring privacy during security reviews.

The scanner integrates into existing workflows through multiple channels. The CLI allows on-demand scans via middlebrick scan <url> with JSON or text output. A GitHub Action can gate CI/CD pipelines, failing the build when the score drops below a defined threshold. The MCP Server enables scanning from AI coding assistants such as Claude or Cursor, supporting security-aware development of chatbot features.

For ongoing review, Pro tier provides scheduled rescans every 6 hours, daily, weekly, or monthly. Diff detection highlights new findings, resolved findings, and score drift. Email alerts are rate-limited to one per hour per API, and HMAC-SHA256 signed webhooks can notify external systems with auto-disable after five consecutive failures.

middleBrick is a scanning tool and does not fix, patch, or remediate issues. It does not perform active SQL injection or command injection testing, as those require intrusive payloads outside the stated scope. Business logic vulnerabilities, such as prompt injection that depends on domain-specific intent, require human expertise and are not detected. The scanner also does not perform blind SSRF testing, which relies on out-of-band infrastructure.

Because it does not replace a human pentester for high-stakes audits, teams should use middleBrick as one component of a broader chatbot security program rather than a standalone compliance solution.