When New payments feature launching
What middleBrick covers
- Black-box scanning with no agents or SDK integration
- Under-one-minute scans with prioritized risk scores
- Coverage of 12 OWASP API Top 10 categories
- OpenAPI 3.0/3.1 and Swagger 2.0 parsing with ref resolution
- Authenticated scanning with header allowlist and domain verification
- CI/CD integration via GitHub Action and MCP Server support
Assess payment API changes without intrusive testing
When a new payments feature launches, you need evidence about surface area and risk, not disruption. Our scanner exercises only read-only methods and text-only POST probes, avoiding destructive payloads. Within under a minute, you receive a risk score and prioritized findings mapped to the OWASP API Top 10 (2023), with remediation guidance that does not require code access or SDK integration.
Detect authentication and authorization issues in payment flows
Payment APIs commonly expose issues in authentication schemes and coarse authorization. The scanner checks for multi-method bypass, JWT misconfigurations such as alg=none and expired tokens, missing claims, and sensitive data in claims. It also evaluates security headers, WWW-Authenticate compliance, and authorization mechanisms to identify BOLA/IDOR via sequential ID enumeration and active adjacent-ID probing. BFLA and privilege escalation risks are surfaced through admin endpoint probing and role/permission field leakage, while property authorization findings highlight over-exposure and internal field leakage relevant to payment data handling.
Validate input handling, encoding, and infrastructure safety for payments
Input validation issues can undermine payment integrity. The scanner checks for CORS wildcard configurations (with and without credentials), dangerous HTTP methods, and debug endpoints. It detects exposed PII patterns such as email and context-aware SSN, alongside API key formats for AWS, Stripe, GitHub, and Slack. Infrastructure safety is evaluated through HTTPS redirect, HSTS, cookie flags, mixed content, SSRF indicators including URL-accepting parameters and active attempts to identify internal IPs, and inventory issues such as missing versioning and server fingerprinting.
Review LLM and AI-related risks introduced by new features
Features that integrate LLM capabilities are probed across 18 adversarial techniques spanning three scan tiers. Quick, Standard, and Deep scans include system prompt extraction, instruction override, DAN and roleplay jailbreaks, data exfiltration, cost exploitation, encoding bypasses such as base64 and ROT13, 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 tests are designed to surface AI-specific risks without requiring destructive or outbound infrastructure.
Integrate scanning into your launch workflow and understand coverage
Use the CLI with middlebrick scan <url> for an immediate JSON or text report. The web dashboard provides trend tracking and branded compliance PDFs aligned to PCI-DSS 4.0, SOC 2 Type II, and OWASP API Top 10 (2023). Continuous monitoring options schedule rescans every 6 hours, daily, weekly, or monthly, with diff detection that highlights new findings, resolved findings, and score drift. Alerts are rate-limited and delivered via email or HMAC-SHA256 signed webhooks. Note that the scanner does not fix, patch, block, or remediate, and it does not detect business logic vulnerabilities or blind SSRF; it supports audit evidence for relevant controls but does not guarantee compliance with any regulation.