Alternatives to Astra in E-Commerce
What middleBrick covers
- Black-box scanning with no agents or SDK dependencies
- Covers OWASP API Top 10 (2023) with 12 detection categories
- Supports authenticated scans with header allowlist controls
- Includes LLM security probes and OpenAPI spec cross-reference
- Delivers prioritized findings with remediation guidance
- Integrates via dashboard, CLI, GitHub Action, and MCP server
Black-box scanning for e-commerce API surfaces
Traditional web scanners rely on agents or instrumentation, which complicates deployment across diverse stacks. This approach is black-box: no SDK, no code access, and no language dependencies. It works with any framework or cloud stack and completes most scans in under a minute. The scanner exercises read-only methods such as GET and HEAD, with text-only POST used for LLM probes only. This posture minimizes risk to production systems while still exercising API behaviors relevant to e-commerce threat models, such as authentication flows, data exposure paths, and input validation boundaries.
Detection aligned to OWASP API Top 10 and common compliance evidence
The scanner evaluates 12 categories aligned to OWASP API Top 10 (2023), including authentication bypass, broken object level authorization, excessive property exposure, and input validation issues. Findings map to compliance frameworks, covering requirements of PCI-DSS 4.0, SOC 2 Type II, and OWASP API Top 10 (2023). For other controls, the tool helps you prepare for audits by aligning with security controls described in relevant standards and supports audit evidence for common assessment activities. Each finding includes prioritized remediation guidance tailored to e-commerce patterns such as payment callbacks, product price manipulation endpoints, and user data export paths.
Authenticated scanning and safe e-commerce constraints
Authenticated scanning is available in Starter tier and above, supporting Bearer tokens, API keys, Basic auth, and cookies. Domain verification is enforced via DNS TXT record or an HTTP well-known file to ensure only domain owners can scan with credentials. Header forwarding is limited to Authorization, X-API-Key, Cookie, and X-Custom-* to reduce noise. Destructive payloads are never sent, private IPs and localhost are blocked at multiple layers, and customer data is deletable on demand and never used for model training. These constraints help keep tests safe for environments that handle payment and profile data.
LLM and API security coverage for modern e-commerce
The scanner includes LLM / AI Security testing with 18 adversarial probes across Quick, Standard, and Deep tiers. These probes assess system prompt extraction, instruction override attempts, jailbreak patterns, data exfiltration risks, cost exploitation, and prompt injection techniques such as base64/ROT13 encoding bypass, translation-embedded injection, and multi-turn manipulation. OpenAPI 3.0, 3.1, and Swagger 2.0 specs are parsed with recursive $ref resolution, and spec definitions are cross-referenced against runtime findings to highlight undefined security schemes or deprecated operations common in legacy e-commerce integrations.
Continuous monitoring and integration options
Pro tier adds scheduled rescans every 6 hours, daily, weekly, or monthly, with diff detection to surface new findings, resolved items, and score drift. Alerts are rate-limited to one per hour per API and delivered by email or HMAC-SHA256 signed webhooks that auto-disable after 5 consecutive failures. Integration options include a web dashboard for reports and score trends, a CLI via the middlebrick npm package, a GitHub Action for CI/CD gating, and an MCP server for AI coding assistants. This setup allows teams to track security posture over time and respond quickly when regressions appear.